| Top |
| gboolean | active | Read / Write |
| gboolean | draw-as-radio | Read / Write |
| gboolean | inconsistent | Read / Write |
GObject ╰── GInitiallyUnowned ╰── GtkWidget ╰── GtkContainer ╰── GtkBin ╰── GtkMenuItem ╰── GtkCheckMenuItem ╰── GtkRadioMenuItem
GtkCheckMenuItem implements AtkImplementorIface, GtkBuildable, GtkActivatable and GtkActionable.
A GtkCheckMenuItem is a menu item that maintains the state of a boolean value in addition to a GtkMenuItem usual role in activating application code.
A check box indicating the state of the boolean value is displayed at the left side of the GtkMenuItem. Activating the GtkMenuItem toggles the value.
GtkWidget *
gtk_check_menu_item_new (void
);
Creates a new GtkCheckMenuItem.
GtkWidget *
gtk_check_menu_item_new_with_label (const gchar *label
);
Creates a new GtkCheckMenuItem with a label.
GtkWidget *
gtk_check_menu_item_new_with_mnemonic (const gchar *label
);
Creates a new GtkCheckMenuItem containing a label. The label
will be created using gtk_label_new_with_mnemonic()
, so underscores
in label
indicate the mnemonic for the menu item.
gboolean
gtk_check_menu_item_get_active (GtkCheckMenuItem *check_menu_item
);
Returns whether the check menu item is active. See
gtk_check_menu_item_set_active()
.
void gtk_check_menu_item_set_active (GtkCheckMenuItem *check_menu_item
,gboolean is_active
);
Sets the active state of the menu item’s check box.
void
gtk_check_menu_item_toggled (GtkCheckMenuItem *check_menu_item
);
Emits the “toggled” signal.
gboolean
gtk_check_menu_item_get_inconsistent (GtkCheckMenuItem *check_menu_item
);
Retrieves the value set by gtk_check_menu_item_set_inconsistent()
.
void gtk_check_menu_item_set_inconsistent (GtkCheckMenuItem *check_menu_item
,gboolean setting
);
If the user has selected a range of elements (such as some text or
spreadsheet cells) that are affected by a boolean setting, and the
current values in that range are inconsistent, you may want to
display the check in an “in between” state. This function turns on
“in between” display. Normally you would turn off the inconsistent
state again if the user explicitly selects a setting. This has to be
done manually, gtk_check_menu_item_set_inconsistent()
only affects
visual appearance, it doesn’t affect the semantics of the widget.
void gtk_check_menu_item_set_draw_as_radio (GtkCheckMenuItem *check_menu_item
,gboolean draw_as_radio
);
Sets whether check_menu_item
is drawn like a GtkRadioMenuItem
Since: 2.4
gboolean
gtk_check_menu_item_get_draw_as_radio (GtkCheckMenuItem *check_menu_item
);
Returns whether check_menu_item
looks like a GtkRadioMenuItem
Since: 2.4
“active”
property“active” gboolean
Whether the menu item is checked.
Flags: Read / Write
Default value: FALSE
“draw-as-radio”
property“draw-as-radio” gboolean
Whether the menu item looks like a radio menu item.
Flags: Read / Write
Default value: FALSE
“inconsistent”
property“inconsistent” gboolean
Whether to display an "inconsistent" state.
Flags: Read / Write
Default value: FALSE
“indicator-size”
style property“indicator-size” gint
The size of the check or radio indicator.
GtkCheckMenuItem:indicator-size
has been deprecated since version 3.20 and should not be used in newly-written code.
Use the standard CSS property min-width on the check or radio nodes; the value of this style property is ignored.
Flags: Read
Allowed values: >= 0
Default value: 16
“toggled”
signalvoid user_function (GtkCheckMenuItem *checkmenuitem, gpointer user_data)
This signal is emitted when the state of the check box is changed.
A signal handler can use gtk_check_menu_item_get_active()
to discover the new state.
checkmenuitem |
the object which received the signal. |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run First


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👋🏽 Hey! Thanks for stopping by. I'm Ryan and I live in beautiful Los
Angeles, California. I currently work as a Senior Software Engineer at
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My Website
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Gradient Descent is a method of finding the minimum of a function. This is extremely useful in machine learning and neural networks as we want to find the correct combination of weights to minimise the error at the output of the neural network. We can treat the error function for a neural network with one hundred connections as a function with one hundred parameters: \( f(x_1, x_2,..., x_{100}) \) The goal is to find the combination of \(x_i\) that make the function as close to zero as possible.
This is a difficult process to imagine in \(100\) dimensions, so lets imagine we have a neural network that has only two connections. We can then write the function we are trying to solve as \(f(x, y) = 0\) where \(x\) and \(y\) are the weights for the two connections. Each connection is a data point in a function we are trying to minimise.
In three dimensions, we can view the error function as a plane and we are trying to find the \(x\) and \(y\) values of the planes minimum.
There are three common types of gradient descent: Full Gradient Descent; Batch Gradient Descent; and Stochastic Gradient Descent.
In Full Gradient Descent, we find the error in every point and we take small steps proportional to the negative of the gradient:
\[
\mathbf{x_{i+1}}=\mathbf{x_i}-\gamma\nabla f(\mathbf{x_i})
\]
We tune how fast the function learns using the learning rate \(\gamma\).
Using this technique, we can find the local minumum of the function.
In the context of our three dimensional function, we find the error with our current choice of \(x\) and \(y\) and then we update both of them in accordance to full gradient descent.
In Batch Gradient Descent, we split the dataset into batches of data points.
We then carry out full gradient descent on each batch, shuffling the data points each time.
\[
\mathbf{x'_{i+1}}=\mathbf{x'_i}-\gamma\nabla f(\mathbf{x'_i})
\quad \text{where} \quad
\mathbf{x'} \subseteq \mathbf{x}
\]
This is often repeated multiple times.
Batch Gradient Descent can be useful if the data set is extremely large as we don't have to process all of the data.
In the context of our three dimensional function, this is like if we found and reduced the error in the \(x\) values and \(y\) values separately.
Batch gradient descent doesn't make much sense in this context since we only have two possible data points.
In Stochastic Gradient Descent, we randomly pick one random data point and we only adjust that data point leaving the rest unmodified.
We then repeat this many times until the error is small.
\[
\mathbf{x_{i+1}}=\mathbf{x_i}-\gamma\nabla f(x')
\quad \text{where} \quad
x' \in \mathbf{x}
\]
Stochastic gradient descent usually to converge faster (in terms of time) than full gradient descent since instead of updating hundreds of parameters, only one parameter needs to be updated.
The overall error in stochastic gradient descent tends to be greater than full gradient descent.
This can be due to the the function reaching the optimal value and then oscillating around it.
In the context of our three dimensional function, we choose randomly wether to update either \(x\) or \(y\) and then update accordingly.
When carrying out a gradient descent method, the choice of the Learning Rate \(\gamma\) needs to be chosen carefully.
Choosing a value that is too high can cause the minimum of the function to be overshot and the function won't be able to converge.
Choosing a value that is too low will take a long time to converge.
Variable learing rates can be use that will modify the learning rate under different conditions, for example if the error plateaus, this may be because the function is scollating around the mimimum but since the learning rate is too high, it can get closer.
In that case, the learning rate can be lowered.
Due to the choice of learning rate and/or starting location, the gradient can increase so much that it has causes an overflow error in the maths.
This is known as Gradient Explosion.
Ways to counter this include capping the maximum size the new x and y can be, or by decreasing the learning rate.
You can see how different parameters affect gradient descent by modifying the parameters.
You can apply a varying learning rate and clipping if you start to experience gradient explosion.
You can view the final vectors.
These each have their uses but not every one will be useful in all situations.
The average vector is useful if the gradient descent method oscillates around a minima.
The best vector is useful if the final vector is not the most optimal solution.
This might happen if the learning rate is too high.
You can view the process of finding the minima on the surface plot here.
Along with this you can view a graph of the error in the error graph tab.


Send any arbitrary binary/raw data in real-time. e.g., an Uber rider sending a cab request or WebRTC endpoints sending SDPs are examples of what all you can do with Mesibo.
Mesibo provides real-time Messaging interface to Machine Learning tools like TensorFlow, Matlab, Octave, NumPy, DialogFlow to create powerful AI chatbots.


This section is what it will be translated to. Example, if someone's typing quirk is that "i" is replaced by "1", you would type the "i" here.
Character 1:
Character 2:
Character 3:
Character 4:
Character 5:
This section is what it will be translated to. Example, if someone's typing quirk is that "i" is replaced by "1", you would type the "i" here.
Character 1:
Character 2:
Character 3:
Character 4:
Character 5:
This section is the typing quirk. Example, if someone's typing quirk is that "i" is replaced by "1", you would type the "1" here. Characters must match the number in each section for it to work correctly.
Character 1:
Character 2:
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Character 5:


Streaming Schedule
Weekly:
- Tuesday, 4:30pm EST, PRO Chess League
Atlantic and Pacific Divisions
- Thursday, 10am EST: PRO Chess League
Eastern and Central Divisions
- Thursday, 3pm EST: Grandmaster Teaches Grasshopper
with MikeySlice and GM Eugene Perelshteyn
- Friday, 6pm EST: Pawngrabbers.TV
- Saturday, 10pm - 1am EST: ChessNerdBird
Daily:
- 9pm-12am EST: Chess with the Jedi, with gmcanty
Livechat
Tournament Schedule
- Montreal Chessbrahs - January 8th - 5:40 PM EST
- New York Marshalls - January 15th - 5:20 PM EST
- Montclair Sopranos - January 22nd - 5:20 PM EST
- Battle Royale #1 - January 29th - 9:00 PM EST
- London Lions - February 6th - 4:30 PM EST
- Miami Champions - February 12th - 5:20 PM EST
- Battle Royale #2 - February 21st - 10:00 AM EST
- Saint Louis ArchBishops - February 26th - 2:40 PM EST
- Webster Windmills - March 6th - 5:40 PM EST
- Battle Royale #3 - March 12th - 4:30 PM EST


{% load i18n %}{% load account_tags %}
{% user_display user as user_display %}
{% url profile_detail username=user.username as user_url %}
{% if group %}
{% blocktrans with task.get_absolute_url as task_url and group.get_absolute_url as group_url %}{{ user_display }} has marked task '{{ task }}' in '{{ group }}' as {{ new_state }}.{% endblocktrans %}
{% else %}
{% blocktrans with task.get_absolute_url as task_url %}{{ user_display }} has marked task '{{ task }}' as {{ new_state }}.{% endblocktrans %}
{% endif %}
{% ifequal task.state '2' %}
{% trans "resolution:" %} {{ task.get_resolution_display }}
{% endifequal %}


For internal usage.
Clear all references in the instance.
NOTE: this method will not clear the getter or setter functions which defined in the instance of CCObject. You can override the _destruct method if you need, for example: _destruct: function () { for (var key in this) { if (this.hasOwnProperty(key)) { switch (typeof this[key]) { case 'string': this[key] = ''; break; case 'object': case 'function': this[key] = null; break; } } }
The rect to store the result bounding rect
The class of component to be retrieved or to be created
A string for the class name of the component
The class of component to be retrieved or to be created
A string for the class name of the component
The class of component to be retrieved
A string for the class name of the component
The class of components to be retrieved
A string for the class name of the components
The class of components to be retrieved
A string for the class name of the components
The callback function of the task
The time interval between each invocation
The repeat count of this task, the task will be invoked (repeat + 1) times, use [[macro.REPEAT_FOREVER]] to repeat a task forever
The delay time for the first invocation, Unit: s
The callback function of the task
The delay time for the first invocation, Unit: s
The callback function of the task
Generated using TypeDoc


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Targeting cookies, also known as profiling cookies, remember information regarding your use of the website so that we can serve promotional and other targeted information to you on our website. Click on the link for information on how you can opt out of targeting cookies:
Some content or applications, including advertisements, on the website are served by third-parties, including advertisers, ad networks and servers, content providers and application providers. These third parties may use cookies or other tracking technologies to collect information about you when you use our website. The information they collect may be associated with your personal information or they may collect information, including personal information, about your online activities over time and across different websites and other online services. They may use this information to provide you with interest-based (behavioral) advertising or other targeted content.
We do not control these third parties' tracking technologies or how they may be used. If you have any questions about an advertisement or other targeted content, you should contact the responsible provider directly. You can opt out of receiving targeted ads from members of the Network Advertising Initiative ("NAI") on the NAI's website.
Introduction and Policy Statement
Datalogic respects individual privacy and strives to collect, use and disclose Personal Data in a manner consistent with the laws of the countries in which it does business, and prides itself on upholding the highest ethical standards in its business practices. Datalogic has the need to extract and compile the human resource data of current and former employees and job applicants of Datalogic,. This Safe Harbor Privacy Policy (the "Policy") sets forth the privacy principles that Datalogic follows with respect to Personal Data transferred from the European Union (EU) to the United States. Accordingly, Datalogic will adhere to the Safe Harbor Principles and Frequently Asked Questions published by the U.S. Department of Commerce (collectively referred to as the "Principles") at http://export.gov/safeharbor/ with respect to all such data, and will self-certify to the U.S. Department of Commerce compliance with the Principles.
If there is any conflict between the policies in this statement and the Principles, the Principles will govern. This statement outlines the general policy and practices for implementing the Principles, including the types of information Datalogic gathers, how the information is used, and the choices affected individuals have regarding Datalogic's use of, and their ability to correct, that information.
The use of EU employee Personal Data will include global enterprise headcount reporting, statistical analysis, compensation planning and related transactions, career development, staffing, international personal security issues, internal investigations, ethics investigations, law enforcement inquiries, U.S. Government agency inquiries, and mergers, acquisitions, and divestitures.
Background
The EU adopted the Directive on Data Protection ("EU Directive"), which requires EU member states to adopt laws protecting Personal Data collected within their borders. These laws must, among other provisions, restrict the transfer of Personal Data only to countries that have data protection laws deemed "adequate" under standards established in the EU Directive. The U.S. Department of Commerce and the European Commission have agreed on the Principles to enable U.S. Companies to satisfy the requirement under EU law that adequate protection be given to Personal Data transferred from the EU to the U.S.
Definitions
Identifiable Person - means a natural person that is or can be identified, directly or indirectly, as a particular person by reference to an identification number or to one or more aspects of the person's physical, physiological, mental, economic, cultural or social identity. Identifiable Persons may include any employee, applicant, former employee, or retiree of Datalogic, its operating divisions, or subsidiaries in the EU.
Personal Data - is any information about an Identifiable Person that is within the scope of the EU Directive, is received by Datalogic in the U.S. from the EU, is recorded in any form and is about, or pertains to, a specific individual; and can be linked to that individual.
Personal Data does not include information that is encoded or anonymized, or publicly available information that has not been combined with non-public Personal Data.
Processing - means any online, offline or manual processing and includes such activities as copying, filing, and inputting Personal Data into a database.
Sensitive Data - is data that pertains to medical or health conditions, racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, sexual orientation or any other data that is identified as "sensitive" by the Identifiable Person.
Publication
This Privacy Policy will be published in Datalogic Management Guideline, Section HR-505 and on the web at www.datalogic.com.
GUIDELINES
1. Notice
Where Datalogic collects Personal Data directly from Identifiable Persons in the EU, it will inform them about the type of Personal Data collected, the purposes for which it collects and uses the Personal Data, and the types of non-agent third parties to which Datalogic discloses or may disclose that information, and the choices and means, if any, Datalogic offers individuals for limiting the use and disclosure of their Personal Data. Notice will be provided in a clear and conspicuous language when individuals are first asked to provide Personal Data to Datalogic, or as soon as practicable thereafter, and in any event before Datalogic uses or discloses the information for a purpose other than that for which it was originally collected.
Where Datalogic receives Personal Data from their subsidiaries or operating divisions in the EU, it will use and disclose such information in accordance with the notices provided by such entities and the choices made by the individuals to which the Personal Data relates.
To the extent practical and appropriate, Datalogic collects Personal Data directly from the Identifiable Person. In those cases where Datalogic collects Personal Data from other persons, it takes measures to respect the privacy preferences of the Identifiable Persons. Examples of when Datalogic may seek information from others include, without limitation, evaluating employees, recruiting, benefit administration and succession planning.
Datalogic's collection and use of Personal Data in the employment context is essential to the conduct of Datalogic's human resources and business functions. Examples of the purposes for which Datalogic collects and uses Personal Data include, without limitation, recruitment, payroll, and personnel management, such as compensation, promotion, evaluation, benefit administration and succession planning.
While recognizing that all Personal Data deserves to be protected, Datalogic exercises special precautions and safeguards for Sensitive Data. Unless required by applicable law, Datalogic does not request or record Sensitive Data.
2. Choice
Opt-Out Rights.
Datalogic will offer Identifiable Person(s) the opportunity to choose (opt-out) whether their Personal Data is (a) to be disclosed to a non-agent third party, or (b) to be used for a purpose other than the purpose for which it was originally collected or subsequently authorized by the individual. In addition, where consent of Identifiable Persons or their representatives is required by law, contract, or agreement for the collection, use, or disclosure of Personal Data, Datalogic will request such consent and respect the Identifiable Person's choice in such matters.
In certain limited or exceptional circumstances, in accordance with the Safe Harbor Principles, Datalogic may disclose Personal Data without notice or the consent of the Identifiable Person. For example, this may occur when Datalogic is required to disclose information by law or legal process or in the vital interests of the Identifiable Person, such as when life or health are at stake.
Opt-In Requirement.
Except as provided by the Safe Harbor Principles or applicable law, an Identifiable Person must give affirmative permission (opt in consent) before Datalogic will disclose Sensitive Data to a third party or use Sensitive Data for a purpose other than those for which it was originally collected or subsequently authorized by the Identifiable Person.
Datalogic will provide Identifiable Persons with reasonable mechanisms to exercise their choices.
3. Onward Transfer
Datalogic may transfer Personal Data across state and country borders for the purposes of data analysis and consolidation of Human Resource information worldwide. Datalogic will comply with the provisions of this Privacy Policy in any such transfer.
To enable Datalogic to provide employees with certain services such as payroll direct deposit, personnel benefits, or other human resource services, Datalogic may disclose Personal Data without consent to sub-contractors, vendors or other third parties, if the third party (i) subscribes to the Safe Harbor Principles, (ii) is subject to laws meeting the minimum standards required by the EU Directive or (iii) enters into an agreement with Datalogic obligating the third party to provide at least the same level of privacy protection as required by Safe Harbor Principles.
4. Security
Datalogic takes reasonable precautions to protect Personal Data against loss, misuse and unauthorized access, disclosure, alteration, destruction and theft.
These precautions include password protections for online information systems and restricted access to Personal Data. All inquiries from outside Datalogic, whether written or oral, concerning the identity, employment record or performance of an employee or former employee must be referred to the Human Resources Department.
Employees are responsible for helping maintain security through safeguarding Personal Data, e.g., by protecting passwords used to access Datalogic computer systems, by keeping paper records under lock and key when not in use, and by disposing of files and reports no longer needed in a secure manner.
5. Data Integrity
Datalogic takes reasonable steps to keep Personal Data accurate, complete, and up-to-date. Each Identifiable Person is responsible for informing Datalogic or its EU subsidiaries of any changes in Personal Data so that the information that Datalogic holds about him or her is accurate, complete and up-to-date.
Datalogic retains Personal Data only as long as necessary to meet the purposes for which it was collected or as required by law, contractual agreement, or the Safe Harbor Principles.
Certain Personal Data may be archived to administer post-employment benefits, to meet legal requirements, to provide evidence in cases of litigation, for statistical purposes, or to assist in decision relating to re-employment.
Datalogic uses reasonable procedures, following retention guidelines, to ensure that it archives or destroys Personal Data no longer required for the purposes for which it was originally collected, unless otherwise agreed to by the Identifiable Person.
6. Access
Datalogic provides Identifiable Persons with a reasonable opportunity to examine their Personal Data, to challenge its accuracy and to have it corrected, amended or deleted as appropriate, subject to certain exceptions. Upon request, Identifiable Persons will be given reasonable access to the Personal Data Datalogic holds about them. Reasonable access means that requests for access are made during normal business hours, following standard procedures, and that the frequency of access requests is not excessive.
If an Identifiable Person is denied access to Personal Data, Datalogic will provide such Identifiable Person with the reason(s) for denying access and a contact point for further inquiries.
If the Identifiable Person notifies Datalogic that the Personal Data on file is incorrect and provides Datalogic with appropriate supporting documentation, Datalogic will either correct the Personal Data or direct the Identifiable Person to the source of the information for correction.
If, upon review, Datalogic believes that the existing Personal Data is correct, Datalogic will inform the Identifiable Person. If the Identifiable Person continues to dispute the accuracy of the Personal Data, Datalogic will note that dispute in the record of the Identifiable Person upon written request.
The Safe Harbor Principles provides for some exceptions to the obligation to provide access to Personal Data. Access to confidential or proprietary information, such as business reorganization or succession plans, or where granting access has to be balanced against the privacy interests of others, may be restricted. In addition, access may be denied
when the information requested relates to an ongoing investigation, litigation or potential litigation,
where the burden or expense of providing access would be disproportionate to the risks to the privacy of the Identifiable Person or when the rights of persons other than the Identifiable Person would be violated.
7. Enforcement and Dispute Resolution
Identifiable Persons may contact the Vice President, Human Resources at Datalogic's Corporate Headquarters to submit data access requests, register complaints or address any other relevant issues under the Safe Harbor Principles. It is the responsibility of all employees to act in accordance with the Privacy Policy and obligations with respect to Personal Data. Failure to do so may result in disciplinary action, if warranted, up to and including termination of employment.
Datalogic is committed to assisting Identifiable Persons in protecting their privacy and in exercising their rights under this Privacy Policy and applicable laws. Identifiable Persons making complaints or reporting potential violations of the Privacy Policy shall not be subject to any form of retaliation. In addition, report of potential violations may be made on an anonymous basis.
For complaints that cannot be resolved between Datalogic and the complainant, Datalogic has agreed to participate in the dispute resolution procedures of the panel established by the European data protection authorities to resolve disputes pursuant to the Principles.
Verification
Datalogic's privacy practices are self-certified annually to the U.S. Department of Commerce. The Vice President, Human Resources is responsible for:
Ensuring that the privacy guidelines, programs, procedures, training and other measures necessary to implement the Privacy Policy are developed and put into practice;
Overseeing responses to inquiries and resolutions of complaints relating to the privacy of Identifiable Persons;
Working with Datalogic's legal department to ensure Datalogic's ongoing compliance with applicable privacy laws and agreements, as well as any obligations Datalogic may enter into voluntarily, such as the Safe Harbor Principles; and
Overseeing annual assessments of Datalogic internal practices to ensure that they conform to the Privacy Policy and related company obligations.
Changes to this Safe Harbor Privacy Policy
This policy may be amended by time to time, consistent with the requirements of the Safe Harbor Principles. A notice will be posted on Datalogic's web page at www.datalogic.com.


LANDSCAPE mode. class="show-for-landscape"
PORTRAIT mode. class="show-for-portrait"
The screen IS a MINI screen. class="show-for-mini"
The screen is NOT a MINI screen. class="hide-for-mini"
The screen IS a XSMALL-PORT screen. class="show-for-xsmall-port"
The screen is NOT a XSMALL-PORT screen. class="hide-for-xsmall-port"
The screen IS a XSMALL-LAND screen. class="show-for-xsmall-land"
The screen is NOT a XSMALL-LAND screen. class="hide-for-xsmall-land"
The screen IS a SMALL screen. class="show-for-small"
The screen is NOT a SMALL screen. class="hide-for-small"
The screen IS a MEDIUM screen. class="show-for-medium"
The screen is NOT a MEDIUM screen. class="hide-for-medium"
The screen IS a LARGE screen. class="show-for-large"
The screen is NOT a LARGE screen. class="hide-for-large"
The screen IS a XLARGE screen. class="show-for-xlarge"
The screen is NOT a XLARGE screen. class="hide-for-xlarge"


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SPM's mission is to machine perfect quality component parts through industry leading technology & genuine experience. Precision is the name & the heart of our company. We are out to change the world! Each day, we work to influence greatness, machining the pieces and parts this world needs to be at its best for tomorrow. We hold ourselves and our clients to the absolute highest of standards. Interested in joining our team of greatness? Contact us today!
"Precision is in the name, and the heart of Our Company."
Job Responsibilities:
-
Approves incoming material by conduction visual and measurement tests; rejecting and returning unacceptable materials.
-
Approves in-process production by confirming specifications; conducting visual and measurement tests; communicating required adjustments to production supervisor / primary lead.
- Approves finished products by confirming specifications; conducting visual and measurement tests; returning products for re-work; confirm rework.
-
Documents inspection results by completing reports/logs; summarizing re-work and waste; inputting data into quality databases.
-
Analyze information, report research results, documentation skills (Word / Excel), process improvement.
-
Discuss inspection results with those responsible for products and recommend necessary corrective actions.
- Use automated systems to perform complex testing
-
Follow all safety guidelines as stated by SPM
-
Read and understand blueprints and basic geometric dimension tolerancing (SPM will train)
-
Ability to perform and complete all PPAP certifications, control plans, PFMEA, and other documents required by customers.
-
Train level I quality control inspectors and other new hires for different departments.
- Perform and complete Gage R &R studies, capability studies, calibration and log into QC databases.
-
Program & run CMM equipment
-
Know how to operate and create spreadsheets using MS office software's
-
SPC interaction or knowledge; CPK, PPK, P Value, AD Testing
Job Requirements:
-
Cooperative, team-focused attitude
- Ability to lift 15 pounds regularly
- Ability to stand/walk throughout entire shift
-
Ability to read blueprints and inspect parts through use of visual and manual inspection equipment (caliper, micrometer etc.), as well as programmed CMM equipment (SPM will train)
-
2+ years' experience in quality control or quality assurance position
-
Analytical, logical thought process and attention to detail.
-
Ability to translate skills and knowledge to others.


This syllabus is subject to change based on specific class needs, especially the schedule. Significant deviations will be discussed in class. Individual exceptions to the policies and schedule are granted only in cases of true emergency. Please make arrangements with me if an emergency arises.
An introduction to low-level programming and computer hardware organization form a software perspective. The emphasis is on understanding how application programmers can use knowledge of the entire system to write better programs. Students will learn about data representation, machine language, the memory hierarchy, and virtual memory through programming assignments in C and assembly language. Further topics may include processor architecture, code optimization, and concurrency.
Basically, the aim of this course is to (1) convince students that no magic is required to make computers work, and (2) help students understand how hardware decisions can affect their programs.
The course textbook will be:
We will also be using parts of Dive into Systems, a free, online textbook.
Since we will be using a lot of C, some of you may wish to have a more in-depth reference manual. The following is pretty good:
However, you may be able to get by with online documentation only:
Other sources will be posted on this webpage as needed.
The goal of this course is to produce programmers who understand how the correctness and performance of their applications are impacted by the compilation system, operating system, and hardware. After dedicating some time to learning C, the course aims to cover the majority of chapters 1-9 of the text.
| - Basics of C | - Memory Hierarchy |
| - Tour of Systems | - Linking |
| - Data Representations | - Exceptional Control Flow (as time allows) |
| - Machine Language | - Virtual Memory |
| - Code Optimization | - Processor Architecture (as time allows) |
| - x86 Assembly Language | - Dynamic Memory |
This course involves programming in both C and assembly language. All necessary tools will be available on the department server. All software for this course is available free of charge and can be found on the web if students wish to install it on their personal machines. The instructor cannot guarantee support for installing and using other development environments.
The weekly workload for this course will vary by student and by week but should be about 12 hours per week on average. The following table provides a rough estimate of the distribution of time over different course components for a 16 week semester, as well as detailing the type, amount, and relative value of all assignments.
| Category | Amount | Final Grade Weight | Total Time | Time/Week (Hours) |
|---|---|---|---|---|
| Lectures | 41 | 10% (Participation) | - | 2.5 |
| Programming Assignments | 5-7 | 30% | 48 | 4 |
| Homework | 6-8 | 25% | 32 | 2.5 |
| Exam Study | - | - | 16 | 1 |
| Exams | 2 | 35% | - | - |
| Reading+Unstructured Study | - | - | 2 | |
| 12 |
Each exam (midterm and final) focuses primarily, but not necessarily exclusively, on material covered since the previous exam. In other words, the final exam may include a few questions from first-half material. The midterm and final are weighted equally (17.5% of your final grade). Your lowest homework score and programming assignment score will be dropped (separately).
Your participation grade is based on a variety of activities. During class I will often make use of the Socrative app, so you’ll need to install this on your phones. Participating in Socrative questions and with in-class group activities is required for a decent participation grade; an A includes asking questions either in class or in office hours.
An additional portion of your participation grade is based on your homework presentations. Every day that a homework assignment is due, one or more students will be randomly selected to present their solution to a portion of the assignment. You will be graded based on preparation and the thoroughness of your explanations, NOT on correctness, although you should of course strive for correctness. Students taking late days will be required to leave the classroom during these presentations. You must inform me BEFORE class if you are taking late days to avoid being randomly selected to present. Otherwise, if you are randomly selected to present but have not done the assignment, you will receive a 0.
Your final grade is based on a weighted average of particular assignment categories. You can estimate your current grade based on your scores and these weights. You may always visit the instructor outside of class to discuss your current standing. Assignments and final grades use a standard grading scale shown below and will not be curved except in rare cases when deemed necessary by the instructor.
This courses uses a standard grading scale. Assignments and final grades will not be curved except in rare cases when its deemed necessary by the instructor. Percentage grades translate to letter grades as follows:
| Score | Grade |
|---|---|
| 94–100 | A |
| 90–93 | A- |
| 88–89 | B+ |
| 82–87 | B |
| 80–81 | B- |
| 78–79 | C+ |
| 72–77 | C |
| 70–71 | C- |
| 68–69 | D+ |
| 62–67 | D |
| 60–61 | D- |
| 0–59 | F |
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge*.
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge.
Late Assignments: You have each been allotted a total of 5 late days. You may apply these to any homework or programming assignment (NOT exams, labs, or reading assignments) you see fit and turn in your solutions with no penalty. Each late days gives you exactly 24 extra hours from the original due date and time. However, you may use at most 2 late days on any individual assignment. The whole point here is to give you some flexibility that allows for things like illnesses, long trips, and the like. I am unlikely to grant further extensions. You must notify me if you will use late days, and how many, BEFORE the assignment is due. Late assignments (beyond any applied late days) will be subject to a grade reduction at my discretion. While you should expect a reasonable penalty for late work, know that I will NEVER give you a 0 for late work as long as it is turned in before the final exam.
Academic Dishonesty: Monmouth College’s official policy on academic dishonesty can be found here. You are responsible for reading and complying with that policy.
In this course, any violation of the academic honesty policy will have varying consequences depending on the severity of the infraction as judged by the instructor. Minimally, a violation will result in an “F” or 0 points on the assignment in question. Additionally, the student’s course grade may be lowered by one letter grade. In severe cases, the student will be assigned a course grade of “F” and dismissed from the class. All cases of academic dishonesty must be reported to the Associate Dean who may decide to recommend further action to the Admissions and Academic Status Committee, including suspension or dismissal. It is assumed that students will educate themselves regarding what is considered to be academic dishonesty, so excuses or claims of ignorance will not mitigate the consequences of any violations
Collaboration: We encourage you to make use of the resources available to you – it is fine to seek help from a friend, tutor, instructor, internet, etc. However, copying of answers and any act worthy of the label of “cheating” is never permissible! It is understandable that when you work with a partner or a group that the resultant product is often extremely similar. This is acceptable but be prepared to be asked to defend your collaborations to the instructor. You should always be able to reproduce an answer on your own, and if you cannot you likely do not really know the material.
One way to collaborate effectively is to avoid taking careful notes during a collaboration session. Discuss the material and sketch out possible solutions on a whiteboard. When you have finished, take a break and then write up your solutions without any help from notes or pictures from the study session. This not only helps avoid violations of academic dishonesty, it also improves your retention of the material!
When assignments are meant to be done in groups, you will be directed to turn in one set of solutions per group. Otherwise, each student must turn in an assignment representing their own work.
Electronic Devices: Do not use your phone or other devices in class except where necessary. Any computer or tablet usage should be related to the course. If a device is not being used for Zoom or Socrative it should be put away and turned on silent. Other usage is rude and distracting to others.
General Expectations: In short, I expect you to be respectful of others and take responsibility for your own learning. You are here to learn, so work hard and be professional.
Just attending class is not sufficient to truly learn the material. Read the text, use the resources available at Monmouth College, and go beyond the material.
If you miss class, you are responsible for everything covered on that day. College is, in some sense, your job. Take pride in creating quality work. Staple your assignments, label problems, and present your answers neatly and orderly.
Your job is to convince me that you have learned the material – show your work! Even if you do not know a particular answer, guide me through your thought process.
The following tentative calendar should give you a feel for how work is distributed throughout the semester. Assignments and events are listed in the week they are due or when they occur. This calendar is subject to change based on the circumstances of the course.
Note: CSAPP = Computer Systems, A Programmer’s Perspective, DIS = Dive into Systems
| Date | Topic | Assignment/Reading |
| Wed 08/24 (Week 1) | Intro and Logistics | |
| Fri 08/26 | The Command Line | DIS 0 and this, Hwk 1 |
| Mon 08/29 (Week 2) | Intro to C | DIS 1, Prog 1 |
| Wed 08/31 | More C through Exercises | |
| Fri 09/02 | Program 1 Walkthrough | Prog 2 |
| Mon 09/05 (Week 3) | Pointers | DIS 2.1-2.3 |
| Wed 09/07 | Dynamic Memory; Arrays | DIS 2.4-2.5 |
| Fri 09/09 | Strings; Structs; I/O | DIS 2.6-2.8 |
| Mon 09/12 (Week 4) | Debugging | DIS 3 |
| Wed 09/14 | A Tour of Computer Systems | CSAPP 1, Hwk 2 |
| Fri 09/16 | Amdahl’s Law; Prog 1/2 Review | |
| Mon 09/19 (Week 5) | Data Representation and Bit Operations | CSAPP 2.1 |
| Wed 09/21 | Bit Operations II | Prog 3 (Data Lab) |
| Fri 09/23 | Integer Representations | CSAPP 2.2 |
| Mon 09/26 (Week 6) | Integer Arithmetic | CSAPP 2.3 |
| Wed 09/28 | Floating Point I | CSAPP 2.4 |
| Fri 09/30 | Floating Point II | |
| Mon 10/03 (Week 7) | Datalab Questions | |
| Wed 10/05 | Floating Point Arithmetic | CSAPP 3.1-3.4 |
| Fri 10/07 | ML: Basics I | CSAPP 3.5, |
| Mon 10/10 (Week 8) | Bomb Lab Tips | Prog 4 (Bomb Lab) |
| (Wed 10/12) | (Fall Break) | |
| (Fri 10/14) | (Fall Break) | |
| Mon 10/17 (Week 9) | ML: Control (Branching) | CSAPP 3.6 |
| Wed 10/19 | ML: Control (Loops) | |
| Fri 10/21 | (Midterm Take-Home Exam) | |
| Mon 10/24 (Week 10) | (Midterm Take-Home Exam) | |
| Wed 10/26 | (Midterm Take-Home Exam) | |
| Fri 10/28 | Midterm Solutions | |
| Mon 10/31 (Week 11) | Bomblab Questions | |
| Wed 11/02 | ML: Procedures | CSAPP 3.7 |
| Fri 11/04 | ML: Procedures II: Recursion | |
| Mon 11/07 (Week 12) | (no class) | |
| Wed 11/09 | ML: Data | 3.8,3.9,3.11*, Hwk 3 |
| Fri 11/11 | Buffer Overflows | 3.10 |
| Mon 11/14 (Week 13) | Memory Hierarchy I | CSAPP 6.1-6.3 |
| Wed 11/16 | Memory Hierarchy II | |
| Fri 11/18 | Caches | CSAPP 6.4-6.7 |
| Mon 11/21 (Week 14) | Performance Impact of Caches | |
| (Wed 11/23) | (Thanksgiving Break) | |
| (Fri 11/25) | (Thanksgiving Break) | |
| Mon 11/28 (Week 15) | Virtual Memory | CSAPP 9, Hwk 4, Prog 5 (Malloc Lab) |
| Wed 11/30 | Tracing Virtual Memory | |
| Fri 12/02 | Basic Heap Allocation Strategies | |
| Mon 12/05 (Week 16) | Advanced Malloc Implementations | |
| Wed 12/07 | Malloc Lab Tips/Debugging | |
| Tue 12/13 8:00 AM | Final Exam |
Mental Health and Counseling Services: Monmouth College provides cost-free, professional mental health counseling to support you and to help you manage challenges that may impact your personal and academic success. The Counseling Center is located in the uppler level of Poling Hall (rooms 204 and 216), and the hours are Monday–Friday, 8:30 AM to 5:00 PM. For an appointment call<PHONE_NUMBER>, email<EMAIL_ADDRESS><EMAIL_ADDRESS>or<EMAIL_ADDRESS>or request an appointment directly by going to titanium.monmouthcollege.edu and clicking on “request an appointment.”
The Academic Support and Accessibility Services Office offers FREE resources to assist Monmouth College students with their academic success. Programs include supplemental instruction for difficult classes, drop-in and appointment tutoring, and individual academic coaching. The office is here to help students excel academically, since everyone can work toward better grades, practice stronger study skills, and mange their time better. Please email<EMAIL_ADDRESS>for assistance.
Accessibility Services: If you have a disability and/or medical/mental health condition, or had academic accommodations in high school or another college, you may be eligible for academic accommodations at Monmouth College under the Americans with Disabilities Act (ADA). Monmouth College is committed to equal educational access. To discuss any of the services offered, please call or meet with Jennifer Sanberg, Associate Director of Academic Success and Accessibility Services. The ASAS office on the first floor of the Hewes Library, opposite Einstein Bros. Bagels. The office can be reached at<PHONE_NUMBER> or via email at<EMAIL_ADDRESS>The The Office of Student Equity Inclusion & Community can be found on the first floor of the Champion Miller Center for Student Equity Inclusion & Community. The office provides support to meet the needs of underrepresented students and international students. Services include: personal and academic advising, help with transition to Monmouth College, information on scholarships, internships, and employment opportunities with the help of other campus offices, and intercultural programming. Office Phone Number:<PHONE_NUMBER>. Email<EMAIL_ADDRESS>This course covers a variety of knowledge areas as categorized by the ACM/IEEE-CS Task Force on Computing Curricula. Note that not all of these areas are introduced in this course; some are touched upon previously and others will be developed further in later courses. At the end of the course, students should achieve the following learning outcomes with the specific level of mastery:
| Knowledge Unit | Learning Outcome with Level of Mastery |
|---|---|
| AL/Basic Analysis | - Perform empirical studies to validate hypotheses about runtime stemming from |
| mathematical analysis. Run algorithms on input of various sizes and compare performance. [Assessment] | |
| AR/Digital Logic and | - Describe the progression of computer technology components from vacuum tubes |
| Digital Systems | to VLSI, from mainframe computer architectures to the organization of warehouse-scale computers. [Familiarity] |
| - Describe the progression of computer technology components from vacuum tubes | |
| to VLSI, from mainframe computer architectures to the organization of warehouse-scale | |
| computers. [Familiarity] | |
| - Comprehend the trend of modern computer architectures towards | |
| multi-core and that parallelism is inherent in all hardware systems. [Familiarity] | |
| - Explain the implications of the “power wall” in terms of further processor | |
| performance improvements and the drive towards harnessing parallelism. [Familiarity] | |
| AR/Machine Level | - Explain why everything is data, including instructions, in computers. [Familiarity] |
| Representation of Data | - Explain the reasons for using alternative formats to represent |
| numerical data. [Familiarity] | |
| - Describe how negative integers are stored in sign-magnitude and | |
| twos-complement representations. [Familiarity] | |
| - Explain how fixed-length number representations affect accuracy and | |
| precision. [Familiarity] | |
| - Describe the internal representation of non-numeric data, such as | |
| characters, strings, records, and arrays. [Familiarity] | |
| - Convert numerical data from one format to another. [Usage] | |
| - Write simple programs at the assembly/machine level for string | |
| processing and manipulation. [Usage] | |
| AR/Assembly Level | - Explain the organization of the classical von Neumann machine and |
| Machine Organization | its major functional units. [Familiarity] |
| - Describe how an instruction is executed in a classical von Neumann machine, with | |
| extensions for threads, multicore synchronization, and SIMD execution. [Familiarity] | |
| - Describe instruction level parallelism and hazards, and how they are | |
| managed in typical processor pipelines. [Familiarity] | |
| - Summarize how instructions are represented at both the machine level | |
| and in the context of a symbolic assembler. [Familiarity] | |
| - Demonstrate how to map between high-level language patterns into | |
| assembly/machine language notations. [Familiarity] | |
| - Explain different instruction formats, such as addresses per instruction and | |
| variable length vs. fixed length formats. [Familiarity] | |
| - Explain how subroutine calls are handled at the assembly level. [Familiarity] | |
| - Explain the basic concepts of interrupts and I/O operations. [Familiarity] | |
| - Write simple assembly language program segments. [Usage] | |
| - Show how fundamental high-level programming constructs are | |
| implemented at the machine-language level. [Usage] | |
| AR/Memory System | - Explain the effect of memory latency on running time. [Familiarity] |
| Organization and | - Describe how the use of memory hierarchy (cache, virtual memory) is |
| Architecture | used to reduce the effective memory latency. [Familiarity] |
| - Describe the principles of memory management. [Familiarity] | |
| - Explain the workings of a system with virtual memory managements. [Familiarity] | |
| - Compute Average Memory Access Time under a variety of cache and | |
| memory configurations and mixes of instruction and data references. [Usage] | |
| AR/Multiprocessing and | - Discuss the concept of parallel processing beyond the classical von Neumann model.] |
| Alternative | - Describe alternative parallel architectures such as SIMD and MIMD. [Familiarity] |
| Architectures | - Discuss the special concerns that multiprocessing systems present with |
| respect to memory management and describe how these are addressed. [Familiarity] | |
| OS/Operating System | - Describe how computing resources are used by application software |
| Principles | and managed by system software. [Familiarity] |
| - Contrast kernel and user mode in an operating system. [Usage] | |
| OS/Memory | - Explain memory hierarchy and cost-performance trade-offs. [Familiarity] |
| Management | - Summarize the principles of virtual memory as applied to caching and paging. [Familiarity] |
| - Evaluate the trade-offs in terms of memory size (main memory, cache | |
| memory, auxiliary memory) and processor speed. [Assessment] | |
| - Defend the different ways of allocating memory to tasks, citing the | |
| relative merits of each. [Assessment] | |
| - Describe the reason for and use of cache memory (performance and | |
| proximity, different dimension of how caches complicate isolation | |
| and VM abstraction). [Familiarity] | |
| - Discuss the concept of thrashing, both in terms of the reasons it | |
| occurs and the techniques used to recognize and manage the problem. [Familiarity] | |
| OS/System Performance | - Describe the performance measurements used to determine how a system |
| Evaluation | performs. [Familiarity] |
| - Explain the main evaluation models used to evaluate a system. [Familiarity] | |
| SDF/Development | - Identify common coding errors that lead to insecure programs (e.g., |
| Methods | buffer overflows, memory leaks, malicious code) and apply strategies |
| for avoiding such errors. [Usage] | |
| SF/Evaluation | - Explain how the components of system architecture contribute to |
| improving its performance. [Familiarity] | |
| - Describe Amdahl’s law and discuss its limitations. [Familiarity] | |
| - Design and conduct a performance-oriented experiment. [Usage] | |
| - Use software tools to profile and measure program performance. [Assessment] |


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Crystal Palace vs Liverpool, Premier League: What time is kick-off, what TV channel is it on and what is our prediction?
by Telegraph SportWhat is it?
League leaders Liverpool travel to Selhurst Park to take on Crystal Palace.
Jurgen Klopp's men sit atop the table with an eight-point lead over second-placed Leicester City and a nine-point lead over fellow title favourites Manchester City.
A victory over Palace would heap even more pressure on City, who play later the same day - against Chelsea.
When is it?
Saturday, November 23.
What time is kick-off?
3pm GMT.
What TV channel is it on?
Because this game is a 3pm kick-off it won't be shown live in the UK. However, you can still follow all the action with us - courtesy of our live blog - if you bookmark this page.
What are the current standings?
What is the team news?
Crystal Palace
TBC
Liverpool
Influential centre-back Virgil Van Dijk is available for the trip to Selhurst Park after missing Holland's Euro 2020 qualifier against Estonia for personal reasons but doubts still persist of Mohamed Salah and Andy Robertson.
Both are struggling with ankle injuries - Salah since sustaining the problem against Leicester in October - and Klopp will have to make a late decision on the pair.
What are they saying?
Liverpool manager Jurgen Klopp says Joe Gomez is "better than good" after his altercation with Raheem Sterling earlier this month:
"He is good, better than good. The people involved were fine pretty quick. Things like this happen in football. Absolutely nothing to say about it. "The FA dealt with it how they saw right and I cannot judge that as I was not aware of the circumstances."
Klopp insists this season was never designated as the one in which they would end their long wait to win the championship and that title talk is for everyone else:
"We don't think about the title race. The biggest challenge for us is constantly facing questions about it. "After that it is completely normal season. We never made it the season where we have to (win the league). "We play as good as we can, try to get as many points as we can and the challenges are the 26 games we have to play - and the next one is Crystal Palace. "These challenges are big enough so we don't need any others and we don't think about anything else."
Crystal Palace manager Roy Hodgson is expecting Liverpool to be at full strength, despite injury concerns over Andrew Robertson and Mo Salah :
"We are counting on them playing so until such time when I pick up the team sheet and they are not playing, then I'll think about it, but I think both will be fit to play. "I am presuming we will face what Jurgen Klopp has seen as his strongest team in recent weeks because I believe he has enough respect for us and what we are capable of doing not to make unnecessary changes if it is not forced upon him through injury."
What are the odds?
- Crystal Palace 6/1
- Draw - 7/2
- Liverpool - 4/9
What's our prediction?
Crystal Palace are on a run of four league games without a win, losing three of them, while Liverpool are yet to taste defeat this season in the Premier League. The Reds will slip up at some point, but it seems unlikely to be here.
Predicted score: Crystal Palace 0 Liverpool 3.


The country is generally safe, but beware of the odd scam. There have been several reports of theft from yachts in the Banjul area and one report in 2009 of sea thugs trying to board a yacht near the deep water buoy outside the port of Banjul.
Cruisers in 2012, taking the normal precautions (nothing of value in sight, only small amounts of money in the pocket, establishing contact with locals and shops near the anchorage, buying from locals etc.), report feeling very safe here, both at anchor and on land.
Both male and female crew should be particularly cautious of young men locally known as ‘bumsters’ who approach visitors, particularly on beaches, offering help or to act as local guides.
Following political disagreement between the government and the EU about human rights in The Gambia, there has been an increase in political tension which may lead to unannounced demonstrations in Banjul and other parts of the country. You should avoid all demonstrations.
Following French military intervention in Mali and The Gambia’s commitment to participate, there is a possibility of retaliatory attacks targeting Western interests in the region. Be vigilant.
Last updated October 2013.
The climate is tropical with two distinct seasons. The dry and more pleasant weather is from November until May, while the remainder is the wet season. The hottest months are from February to May. The winds are variable throughout the year, with the strongest winds in September and October.
* indicates port of entry


Detects
package
statements that do not correspond to the project directory structure and reports classes without
package
statements.


This is text 0dcd55df-8480-4949-8be9-d22bf768416b
This is link b4f3ae4a-6873-4f2b-a159-fadc2016d407 This is link 5738d34b-1f64-41bd-be42-e0bba8bd0e4c This is link 30c17749-1672-4d12-9bea-440b233fb48a


Boring counting
问题描述 :
In this problem we consider a rooted tree with N vertices. The vertices are numbered from 1 to N, and vertex 1 represents the root. There are integer weights on each vectice. Your task is to answer a list of queries, for each query, please tell us among all the vertices in the subtree rooted at vertice u, how many different kinds of weights appear exactly K times?
输入:
The first line of the input contains an integer T( T<= 5 ), indicating the number of test cases.
For each test case, the first line contains two integers N and K, as described above. ( 1<= N <= 105, 1 <= K <= N )
Then come N integers in the second line, they are the weights of vertice 1 to N. ( 0 <= weight <= 109 )
For next N-1 lines, each line contains two vertices u and v, which is connected in the tree.
Next line is a integer Q, representing the number of queries. (1 <= Q <= 105)
For next Q lines, each with an integer u, as the root of the subtree described above.
For each test case, the first line contains two integers N and K, as described above. ( 1<= N <= 105, 1 <= K <= N )
Then come N integers in the second line, they are the weights of vertice 1 to N. ( 0 <= weight <= 109 )
For next N-1 lines, each line contains two vertices u and v, which is connected in the tree.
Next line is a integer Q, representing the number of queries. (1 <= Q <= 105)
For next Q lines, each with an integer u, as the root of the subtree described above.
输出:
The first line of the input contains an integer T( T<= 5 ), indicating the number of test cases.
For each test case, the first line contains two integers N and K, as described above. ( 1<= N <= 105, 1 <= K <= N )
Then come N integers in the second line, they are the weights of vertice 1 to N. ( 0 <= weight <= 109 )
For next N-1 lines, each line contains two vertices u and v, which is connected in the tree.
Next line is a integer Q, representing the number of queries. (1 <= Q <= 105)
For next Q lines, each with an integer u, as the root of the subtree described above.
For each test case, the first line contains two integers N and K, as described above. ( 1<= N <= 105, 1 <= K <= N )
Then come N integers in the second line, they are the weights of vertice 1 to N. ( 0 <= weight <= 109 )
For next N-1 lines, each line contains two vertices u and v, which is connected in the tree.
Next line is a integer Q, representing the number of queries. (1 <= Q <= 105)
For next Q lines, each with an integer u, as the root of the subtree described above.
样例输入:
1 3 1 1 2 2 1 2 1 3 3 2 1 3
样例输出:
Case #1: 1 1 1
题意：给你一棵树，树上的每个节点都有树值，给m个查询，问以每个点u为根的子树下有多少种权值恰好出现k次。
方法跟 Codeforces
Round #136 (Div. 2) D. Little Elephant and Array很类似，只不过要将树型结构转化成线型结构。
#include <iostream> #include <cstdio> #include <cstring> #include <vector> #include <map> #include <algorithm> using namespace std; #define LL(x) (x<<1) #define RR(x) (x<<1|1) const int N=1e5+5; struct Query { int st,ed,id; Query(){} Query(int a,int b,int c){st=a;ed=b;id=c;} bool operator < (const Query &b) const { return ed<b.ed; } }; struct node { int lft,rht,sum; int mid(){return lft+(rht-lft)/2;} }; struct Segtree { node tree[N*4]; void build(int lft,int rht,int ind) { tree[ind].lft=lft; tree[ind].rht=rht; tree[ind].sum=0; if(lft!=rht) { int mid=tree[ind].mid(); build(lft,mid,LL(ind)); build(mid+1,rht,RR(ind)); } } void updata(int pos,int ind,int valu) { tree[ind].sum+=valu; if(tree[ind].lft==tree[ind].rht) return; else { int mid=tree[ind].mid(); if(pos<=mid) updata(pos,LL(ind),valu); else updata(pos,RR(ind),valu); } } int query(int be,int end,int ind) { int lft=tree[ind].lft,rht=tree[ind].rht; if(be<=lft&&rht<=end) return tree[ind].sum; else { int mid=tree[ind].mid(); int sum1=0,sum2=0; if(be<=mid) sum1=query(be,end,LL(ind)); if(end>mid) sum2=query(be,end,RR(ind)); return sum1+sum2; } } }seg; int data1[N],data2[N]; int low[N],high[N],res[N],idx; vector<int> adj[N],pos[N]; vector<Query> q; map<int,int> imap; void dfs(int u,int fa) { low[u]=++idx; data2[idx]=data1[u]; for(int i=0;i<(int)adj[u].size();i++) { int v=adj[u][i]; if(v==fa) continue; dfs(v,u); } high[u]=idx; } void init(int n) { idx=0; imap.clear(); q.clear(); for(int i=0;i<=n;i++) { pos[i].clear(); adj[i].clear(); } } int main() { int t,t_cnt=0; scanf("%d",&t); while(t--) { int n,k,a,b,m,sc=0; scanf("%d%d",&n,&k); init(n); for(int i=1;i<=n;i++) { scanf("%d",&data1[i]); if(imap.find(data1[i])==imap.end()) imap.insert(make_pair(data1[i],sc++)); } for(int i=1;i<n;i++) { scanf("%d%d",&a,&b); adj[a].push_back(b); } dfs(1,-1); scanf("%d",&m); for(int i=0;i<m;i++) { scanf("%d",&a); q.push_back(Query(low[a],high[a],i)); } sort(q.begin(),q.end()); int ind=0; seg.build(1,idx,1); for(int i=1;i<=n;i++) { int id=imap[data2[i]]; pos[id].push_back(i); int cnt=(int)pos[id].size(); if(cnt>=k) { if(cnt>k) seg.updata(pos[id][cnt-k-1],1,-2); if(cnt>k+1) seg.updata(pos[id][cnt-k-2],1,1); seg.updata(pos[id][cnt-k],1,1); } while(ind<m&&q[ind].ed==i) { res[q[ind].id]=seg.query(q[ind].st,q[ind].ed,1); ind++; } } if(t_cnt!=0) puts(""); printf("Case #%d:\n",++t_cnt); for(int i=0;i<m;i++) printf("%d\n",res[i]); } return 0; }
版权声明：本文为博主原创文章，未经博主允许不得转载。
参考：http://blog.csdn.net/shiqi_614/article/details/7998180
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An ARRAY record describes a formula that was array-entered into a range of cells. The range of cells in which the array is entered is defined by the rwFirst , rwLast , colFirst , and colLast fields.
The ARRAY record occurs directly after the FORMULA record for the cell in the upper-left corner of the array — that is, the cell defined by the rwFirst and colFirst fields.
The parsed expression is the array formula, stored in the Excel internal format. For an explanation of the parsed format, see “Microsoft Excel Formulas”.
Record Data
|
Offset |
Field Name |
Size |
Contents |
|
4 |
rwFirst |
2 |
First row of the array |
|
6 |
rwLast |
2 |
Last row of the array |
|
8 |
colFirst |
1 |
First column of the array |
|
9 |
colLast |
1 |
Last column of the array |
|
10 |
grbit |
2 |
Option flags |
|
12 |
chn |
4 |
(See text) |
|
16 |
cce |
2 |
Length of the parsed expression |
|
18 |
rgce |
var |
Ignore the chn field when reading the BIFF file. If a BIFF file is written, the chn field must be 00000000h .
The grbit field contains the following option flags:
|
Offset |
Bits |
Mask |
Flag Name |
Contents |
|
0 |
0 |
01h |
fAlwaysCalc |
Always calculate the formula. |
|
|
1 |
02h |
fCalcOnLoad |
Calculate the formula when the file is opened. |
|
|
7–2 |
FCh |
(unused) |
|
|
1 |
7–0 |
FFh |
(unused) |
|


◆ $approvalStatus
◆ $availableVendorCredit
◆ $billAddressList
◆ $billingAddress
◆ $class
◆ $createdDate
◆ $createdFrom
◆ $currency
◆ $currencyName
◆ $customFieldList
◆ $customForm
◆ $department
◆ $dueDate
◆ $email
◆ $employee
◆ $entity
◆ $exchangeRate
◆ $expenseList
◆ $externalId
◆ $fax
◆ $fob
◆ $intercoStatus
◆ $intercoTransaction
◆ $internalId
◆ $itemList
◆ $lastModifiedDate
◆ $linkedTrackingNumbers
◆ $location
◆ $memo
◆ $message
◆ $nextApprover
◆ $orderStatus
◆ $otherRefNum
◆ $paramtypesmap
◆ $purchaseContract
◆ $shipAddressList
◆ $shipDate
◆ $shipIsResidential
◆ $shipMethod
◆ $shippingAddress
◆ $shipTo
◆ $source
◆ $status
◆ $subsidiary
◆ $subTotal
◆ $supervisorApproval
◆ $tax2Total
◆ $taxTotal
◆ $terms
◆ $toBeEmailed
◆ $toBeFaxed
◆ $toBePrinted
◆ $total
◆ $trackingNumbers
◆ $tranDate
◆ $tranId
◆ $vatRegNum
The documentation for this class was generated from the following file:


---
start: 2016-07-06 13:00
edition: 16
participate: "http://www.eventbrite.com/e/evolution-of-programming-languages-tickets-26278966095"
subheader: "Evolution of Programming Languages"
subnote:
talk :
agenda:
-
time: "6:15 pm - 6:30 pm"
title: "Registration"
-
time: "6:30 pm - 8:30 pm"
title: "Evolution of Programming Languages"
subtitle: "
- Revisiting several milestones along the way, reminding ourselves of a few of the missed opportunities.
- Examining the broad families into which programming languages fall -- an informal phylogenetic tree.
- Recognising the convergence of features among several mainstream languages.
- Discussing current state of affairs in the world of programming languages
"
speaker: "Jonnalagadda Srinivas (JS)"
profile: "https://plus.google.com/+SrinivasJONNALAGADDA/about"
-
time: "7:30 pm - 7:40 pm"
title: "Break"
---


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Add a reference
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Getting started | Preferences | Java IP server
Getting started
When you first use Whisper, it's important that you fill your personnal informations in the preferences :
After that, you have to choose which way you want to use to call other users. The easiest way is simply to type in the IP address of the desired user. But often you don't know his address. That's why we create a Java IP server.
Once you're connected to a user, the conference window will pop-up.
You are now ready to talk and listen. During the conversation, you can toggle on/off both audio and video of the remote user simply by clicking the checkbox in the conference window. If you want to chat with the other user, click on the "Chat" item in the View menu or the "Chat" button on the toolbar. Everytime you call another user, a new view will be inserted in the conference window. All these view are identical, except for the name and IP address. That way you can easily keep track of who you're talking to.
When you're done, simply click on the "disconnect" button for the desired user, or the "disconnect" button on the Whisper toolbar to disconnect from everyone.


Hosting - GitHub
Research - Poley Magik
Assets - Vyond
GoAnimateWrapper - VisualPlugin
Custom / Modded Assets - Imageny
Big Clown - Poley Magik
And you, for looking at the credits for this website you can make a video in your computer&laptop.
note from the future: these are the credits for the original GoAnimate Assets project, updated credits are in the GoAnimate 2015 readme


A short comparison of Lanes with other existing Lua multithreading kits.
============= Lua Lanes ============= With the introduction of Lindas (Jun-2008), Lua Lanes simplifies its API while simultaneously adding more power and speed. Pros: - regular Lua 5.1/5.2 module - completely separate Lua states, one per OS thread - message passing, or shared data using Lindas - no application level locking, ever - scales well, up to 1000's of threads - priorities (-2..+2) for launched threads - threads are cancellable (with complete cleanup) - timeouts on all pending operations - thread contents are given as regular Lua functions; syntax checked early on, syntax highlighting works - standard libraries opened to subthreads can be granually selected - fast stack-to-stack copies, via hidden "keeper states". No serialization needed. - protects calls to 'require', allowing wide compatibility with existing modules (and all, with minor changes) Cons: - requires OS threads - currently 1:1 mapping to OS threads (limits scalability and maybe performance) - not utilizing network parallelism (all threads on one CPU) Sample: << lanes = require "lanes".configure() local function calculate(a,b,c) if not a then error "sample error; propagated to main lane when reading results" end return a+b+c end local h1= lanes.gen("base", calculate)(1,2,3) local h2= lanes.gen("base", calculate)(10,20,30) local h3= lanes.gen("base", calculate)(100,200,300) print( h1[1], h2[1], h3[1] ) -- pends for the results, or propagates error << =========== luaproc (by Skyrme, Rodriguez and Ierusalimschy) =========== http://www.inf.puc-rio.br/~roberto/docs/ry08-05.pdf The PDF seems to be an authorative voyage into how Lua could handle multithreading, in a multicore "separate universes" manner (not like what coroutines already do). Pros: - Tackles both multicore and network parallelism - M:N relationship to kernel threads (one kernel thread runs multiple luaprocs) - Simple (so they say) - Lua author (Roberto) included - Can be used also without _any_ OS threading support (works like Rings, then) Cons: - Data passing for "strings, number, or booleans" only "More complex types must be encoded in some form" (serializing data is slower than the stack-to-stack copies used by i.e. Lanes) (yet, serializing allows for network parallelism) - Message passing is synchronous (only). The sender will wait until the receiver has taken the message. ================== Lua coroutines (by Lua authors) ================== http://www.lua.org/manual/5.1/manual.html#2.11 http://lua-users.org/wiki/CoroutinesTutorial Lua coroutines is an integral part of Lua 5 itself. It is listed here, since it should be the _first_ multitasking mechanism to consider. It can also be used together with Lanes, or the other mechanisms listed below. Coroutines are very usable in provider/consumer situations, allowing you to queue Lua functions on an as-needed dataflow basis with each other. Pros: - works with plain Lua (no extensions) - works on any platform - lightweight (no OS level threading or locking involved) Cons: - co-operative, meaning your code will need to decide, who gets to run - does not utilize multiple CPUs/cores Sample: ..TBD: sample code doing the "child" "parent" output here (see below).. ============= LuaThread (by Diego Nehab) ============= http://www.cs.princeton.edu/~diego/professional/luathread/ LuaThread provides thread creation, mutexes, condition variables, and inter- thread queues to the Lua scripts. It takes a C-kind of approach, where Lua globals are shared by the threads running, and need therefore to be guarded against multithreading conflicts. Whether this is exactly what you want, or whether a more loosely implemented multithreading (s.a. Lanes) would be better, is up to you. One can argue that a loose implementation is easier for the developer, since no application level lockings need to be considered. Pros: - no marshalling overhead, since threads share the same Lua state Cons: - requires a modified Lua core - application level locking required Sample: << local function flood(output, word) while 1 do output:lock() io.write(word, ", ") output:unlock() end end local output = thread.newmutex() thread.newthread(flood, {output, "child"}) flood(output, "parent") << ============= Lua Rings (by Roberto Ierusalimschy & Tomás Guisasola) ============= http://www.keplerproject.org/rings/ ".. library which provides a way to create new Lua states from within Lua. It also offers a simple way to communicate between the creator (master) and the created (slave) states." ".. master can execute code in any of its slaves but each slave only has access to its master (or its own slaves)." Rings offers separate Lua states, but no multithreading. This makes it simple, but it won't use more than one CPU core. Other differences include: - opens all Lua standard libraries for subthreads (Lanes opens the needed ones) - marshalls numbers, strings, booleans, userdata (Lanes also marshalls tables, functions, upvalues, ..) - "remotedostring" allows executing code in the master state (Lanes does _not_ allow subthreads to trouble/modify master automatically, to allow effective sandboxing. The same can be achieved by sending code between the threads, but master needs to explicitly allow this = receive a function and execute it) - offers "Stable, a very simple API to manage a shared table at the master state" (Lanes 2008 offers keeper tables) Pros: - "offers Stable, a very simple API to manage a shared table at the master state" Cons: - thread contents defined as strings, not Lua source as such; does not give syntax check at file parsing, does not allow syntax highlight Sample: << require"rings" S = rings.new () data = { 12, 13, 14, } print (S:dostring ([[ aux = {} for i, v in ipairs (arg) do table.insert (aux, 1, v) end return unpack (aux)]], unpack (data))) -- true, 14, 13, 12 S:close () << ========================== Helper Threads Toolkit (by Javier Guerra G.) ========================== http://luaforge.net/projects/helper-threads/ "Provides a consistent framework to write non-blocking C libraries, with a Lua interface for starting tasks and managing the Futures, Queues and Threads." This seems like a companion of the "occasional threading" model (see below); Lua side is kept clear of multithreading, while C side can be "spawn" off to do things on the background. Pros: - provides an "update" mechanism, allowing the (C) thread and controlling Lua to interact during execution of the thread - ... Cons: - thread is "only for C code and it can't touch or access the Lua state", in other words there is no Lua-side multithreading concept (by design) ======================== Occasional threading (by Russ Cox) ======================== http://lua-users.org/lists/lua-l/2006-11/msg00368.html ".. able to have certain C calls run in parallel with the [Lua] VM, but otherwise keep the VM single-threaded." That pretty much says it all. Pros: - simple, yet providing for the "occasional" need to run really multithreaded - can be made into a loadable module (says the message) Cons: - only for occasional usage, the programming paradigm is still essentially singlethreaded (by definition) - not a real project, just a message on the Lua list (but a good one!) ================= ConcurrentLua ================= http://concurrentlua.luaforge.net/index.html ConcurrentLua is based on the Lua model for concurrency, namely coroutines, and extends this model by providing message-passing primitives. ".. implementation of the share-nothing asynchronous message-passing model" ".. process can check its mailbox for new messages at any time, and if there are any, they can be read in the order of arrival." ".. processes in the system are implemented with Lua coroutines" ".. still based on the cooperative multithreading model that Lua uses" Recent, released on 21 June 2008. Pros: - From ground up designed for distributed computing (multiple computers, not only CPU cores) - Does not require a pre-emptive operating system Cons: - Serialization must degrade raw performance in one-computer scenarios (vs. stack-to-stack copying ala Lanes) - Depends on LuaSocket and Copas modules. - Each thread has a single mailbox tied to it (vs. separating threads and connection resources) |
For feedback, questions and suggestions:


Package org.drip.numerical.common
Class NumberUtil
java.lang.Object
org.drip.numerical.common.NumberUtil
public class NumberUtil
extends java.lang.Object
NumberUtil implements number utility functions. It exposes the following functions:
- Verify number/number array validity, and closeness/sign match
- Factorial Permutation/Combination functionality
- Dump multi-dimensional array contents
- Min/Max/Bound the array entries within limits
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = Numerical Quadrature, Differentiation, Eigenization, Linear Algebra, and Utilities
- Package = Primitives/Array Manipulate Format Display Utilities
- Author:
- Lakshmi Krishnamurthy
-
Constructor Summary
Constructors Constructor Description NumberUtil()
-
Method Summary
Modifier and Type Method Description static int
BinaryDigitCount(int n)
Retrieve the Binary Digit Countstatic double
Bound(double dblX, double dblFloor, double dblCeiling)
Bound the input to within (floor, Ceiling), i.e., compute Min (Max (floor, X), Ceiling)static boolean
CanMeasureWater(int x, int y, int z)
You are given two jugs with capacities x and y liters.static int
DivideIntegers(int dividend, int divisor)
Divide two integers without using multiplication, division, and mod operator.static double
DoubleFactorial(int n)
Compute (2n - 1)!!static int
Factorial(int n)
This function implements Factorial N.static double
Fractional(double z)
Retrieve the Fractional Part of zstatic long
GCD(long a, long b)
Greatest Common Divisor between Two Numbersstatic double
HalfDownShiftedFactorial(int n)
Compute (n - 0.5)!static boolean
IsInteger(double z)
Indicate if z is an Integerstatic boolean
IsNegativeInteger(double z)
Indicate if z is a Negative Integerstatic boolean
IsNonNegativeInteger(double z)
Indicate if z is a Non-Negative Integerstatic boolean
IsNonPositiveInteger(double z)
Indicate if z is a Non-Positive Integerstatic boolean
IsNumberSequenceAdditive(java.lang.String s)
Additive number is a string whose digits can form additive sequence.static boolean
IsPositiveInteger(double z)
Indicate if z is a Positive Integerstatic boolean
IsValid(double dbl)
Checks if the input double is Infinite or NaNstatic boolean
IsValid(double[] adbl)
Checks if the input double array contains an Infinite or an NaNstatic boolean
IsValid(long l)
Check if the Input Long is MIN_VALUE or MAX_VALUEstatic boolean
IsValid(long[] al)
Check if the Input Long Array contains a MIN_VALUE or MAX_VALUEstatic double
Maximum(double[] adbl)
Retrieve the Maximum Element in the specified Arraystatic double
Minimum(double[] adbl)
Retrieve the Minimum Element in the specified Arraystatic int
NCK(int n, int k)
This function implements N choose K.static int
NextPrimePalindrome(int n)
Find the smallest prime palindrome greater than or equal to the input number.static boolean
NormalizedPositive(double[] array)
Check if the Array Elements are Normalized and Positivestatic int
NPK(int n, int k)
This function implements N Permute K.static int
NthDigit(int n)
Identify the nth Digit of the Numberstatic long
NthUglyNumber(long n, long a, long b, long c)
Find the nth ugly number.static double
PochhammerSymbol(double s, int k)
Compute the Pochhammer Symbol for the Specified s and kstatic double
Power(double x, int n)
Compute the Integer Power of xstatic double
PrimeFactorExponentTwo(int n)
Compute the Exponent 2 of Prime Factorization for a given Integerstatic boolean
Print1DArray(java.lang.String strName, double[] adblA, boolean bBailOnNaN)
Print the contents of the 1D arraystatic boolean
Print1DArray(java.lang.String strName, double[] adblA, int iNumDecimal, boolean bBailOnNaN)
Print the contents of the 1D array to the Specified Decimal Locationstatic boolean
Print2DArray(java.lang.String strName, double[][] aadblA, boolean bBailOnNaN)
Print the contents of the 2D arraystatic boolean
Print2DArrayPair(java.lang.String strLeftLabel, java.lang.String strRightLabel, double[][] aadblLeft, double[][] aadblRight, boolean bBailOnNaN)
Print the Contents of the 2D Array Pairstatic boolean
Print2DArrayTriplet(java.lang.String strLeftLabel, java.lang.String strMiddleLabel, java.lang.String strRightLabel, double[][] aadblLeft, double[][] aadblMiddle, double[][] aadblRight, boolean bBailOnNaN)
Print the Contents of the 2D Array Tripletstatic boolean
PrintMatrix(java.lang.String strName, double[][] aadblA)
Print the Matrix Contentsstatic int
Quotient2(int dividend, int divisor)
Given two integers dividend and divisor, divide two integers without using multiplication, division, and mod operator.static int
ReciprocalIntegerFloor(double z)
Retrieve the Reciprocal Integer Floor of zstatic int
ReverseInteger(int number)
Given a signed 32-bit integer number, return number with its digits reversed.static double
RisingPochhammerSymbol(double s, int k)
Compute the Rising Pochhammer Symbol for the Specified s and kstatic boolean
SameSign(double[] adbl)
Check if the specified array contains elements all of the same signstatic double
Sign(double z)
Indicate the Sign of zstatic int
TrailingFactorialZeros(int n)
Estimate the Trailing Factorial Zerosstatic boolean
WithinTolerance(double dbl1, double dbl2)
Compare and checks if the two input numbers fall within a specified tolerancestatic boolean
WithinTolerance(double dbl1, double dbl2, double dblAbsoluteTolerance, double dblRelativeTolerance)
Compare and checks if the two input numbers fall within a specified toleranceMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
NumberUtil
public NumberUtil()
-
-
Method Details
-
IsValid
public static final boolean IsValid(long l)Check if the Input Long is MIN_VALUE or MAX_VALUE- Parameters:
l
- Input Long- Returns:
- TRUE - Input Long is MIN_VALUE or MAX_VALUE
-
IsValid
public static final boolean IsValid(long[] al)Check if the Input Long Array contains a MIN_VALUE or MAX_VALUE- Parameters:
al
- Input Long Array- Returns:
- TRUE - Input Long Array contains a MIN_VALUE or MAX_VALUE
-
IsValid
public static final boolean IsValid(double dbl)Checks if the input double is Infinite or NaN- Parameters:
dbl
- Input double- Returns:
- TRUE - Input double is Infinite or NaN
-
IsValid
public static final boolean IsValid(double[] adbl)Checks if the input double array contains an Infinite or an NaN- Parameters:
adbl
- Input double array- Returns:
- TRUE - Input double contains an Infinite or an NaN
-
WithinTolerance
public static final boolean WithinTolerance(double dbl1, double dbl2, double dblAbsoluteTolerance, double dblRelativeTolerance)Compare and checks if the two input numbers fall within a specified tolerance- Parameters:
dbl1
- Number #1dbl2
- Number #2dblAbsoluteTolerance
- Absolute TolerancedblRelativeTolerance
- Relative Tolerance- Returns:
- TRUE if they fall within the tolerance
-
WithinTolerance
public static final boolean WithinTolerance(double dbl1, double dbl2)Compare and checks if the two input numbers fall within a specified tolerance- Parameters:
dbl1
- Number #1dbl2
- Number #2- Returns:
- TRUE if they fall within the tolerance
-
Factorial
public static final int Factorial(int n)This function implements Factorial N.- Parameters:
n
- N- Returns:
- Factorial N
-
NPK
public static final int NPK(int n, int k)This function implements N Permute K.- Parameters:
n
- Nk
- K- Returns:
- N Permute K
-
NCK
public static final int NCK(int n, int k)This function implements N choose K.- Parameters:
n
- Nk
- K- Returns:
- N choose K
-
Bound
public static final double Bound(double dblX, double dblFloor, double dblCeiling) throws java.lang.ExceptionBound the input to within (floor, Ceiling), i.e., compute Min (Max (floor, X), Ceiling)- Parameters:
dblX
- Input NumberdblFloor
- FloordblCeiling
- Ceiling- Returns:
- Min (Max (floor, X), Ceiling)
- Throws:
java.lang.Exception
- Thrown if the inputs are invalid
-
Minimum
public static final double Minimum(double[] adbl) throws java.lang.ExceptionRetrieve the Minimum Element in the specified Array- Parameters:
adbl
- Array of elements- Returns:
- The Minimum Element
- Throws:
java.lang.Exception
- Thrown if the Inputs are invalid
-
Maximum
public static final double Maximum(double[] adbl) throws java.lang.ExceptionRetrieve the Maximum Element in the specified Array- Parameters:
adbl
- Array of elements- Returns:
- The Maximum Element
- Throws:
java.lang.Exception
- Thrown if the Inputs are invalid
-
SameSign
public static final boolean SameSign(double[] adbl) throws java.lang.ExceptionCheck if the specified array contains elements all of the same sign- Parameters:
adbl
- Array of elements- Returns:
- TRUE - Same Sign
- Throws:
java.lang.Exception
- Thrown if the Inputs are invalid
-
Print1DArray
public static final boolean Print1DArray(java.lang.String strName, double[] adblA, boolean bBailOnNaN)Print the contents of the 1D array- Parameters:
strName
- Label NameadblA
- The 1D arraybBailOnNaN
- Bail on encountering an NaN- Returns:
- TRUE - Print Successful
-
Print1DArray
public static final boolean Print1DArray(java.lang.String strName, double[] adblA, int iNumDecimal, boolean bBailOnNaN)Print the contents of the 1D array to the Specified Decimal Location- Parameters:
strName
- Label NameadblA
- The 1D arrayiNumDecimal
- Number of Decimal Places to DisplaybBailOnNaN
- Bail on encountering an NaN- Returns:
- TRUE - Print Successful
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Print2DArray
public static final boolean Print2DArray(java.lang.String strName, double[][] aadblA, boolean bBailOnNaN)Print the contents of the 2D array- Parameters:
strName
- Label NameaadblA
- The 2D arraybBailOnNaN
- Bail on encountering an NaN- Returns:
- TRUE - Print Successful
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Print2DArrayPair
public static final boolean Print2DArrayPair(java.lang.String strLeftLabel, java.lang.String strRightLabel, double[][] aadblLeft, double[][] aadblRight, boolean bBailOnNaN)Print the Contents of the 2D Array Pair- Parameters:
strLeftLabel
- Left LabelstrRightLabel
- Right LabelaadblLeft
- The Left 2D arrayaadblRight
- The Right 2D arraybBailOnNaN
- Bail on encountering an NaN- Returns:
- TRUE - Print Successful
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Print2DArrayTriplet
public static final boolean Print2DArrayTriplet(java.lang.String strLeftLabel, java.lang.String strMiddleLabel, java.lang.String strRightLabel, double[][] aadblLeft, double[][] aadblMiddle, double[][] aadblRight, boolean bBailOnNaN)Print the Contents of the 2D Array Triplet- Parameters:
strLeftLabel
- Left LabelstrMiddleLabel
- Middle LabelstrRightLabel
- Right LabelaadblLeft
- The Left 2D arrayaadblMiddle
- The Middle 2D arrayaadblRight
- The Right 2D arraybBailOnNaN
- Bail on encountering an NaN- Returns:
- TRUE - Print Successful
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PrintMatrix
public static final boolean PrintMatrix(java.lang.String strName, double[][] aadblA)Print the Matrix Contents- Parameters:
strName
- Name of the MatrixaadblA
- Matrix- Returns:
- TRUE - Matrix Contents Successfully printed
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HalfDownShiftedFactorial
public static final double HalfDownShiftedFactorial(int n) throws java.lang.ExceptionCompute (n - 0.5)!- Parameters:
n
- n- Returns:
- (n - 0.5)! Value
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
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DoubleFactorial
public static final double DoubleFactorial(int n) throws java.lang.ExceptionCompute (2n - 1)!!- Parameters:
n
- n- Returns:
- (2n - 1)!!
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
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RisingPochhammerSymbol
public static final double RisingPochhammerSymbol(double s, int k) throws java.lang.ExceptionCompute the Rising Pochhammer Symbol for the Specified s and k- Parameters:
s
- sk
- k- Returns:
- The Rising Pochhammer Symbol
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
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PochhammerSymbol
public static final double PochhammerSymbol(double s, int k) throws java.lang.ExceptionCompute the Pochhammer Symbol for the Specified s and k- Parameters:
s
- sk
- k- Returns:
- Pochhammer Symbol
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
IsInteger
public static final boolean IsInteger(double z) throws java.lang.ExceptionIndicate if z is an Integer- Parameters:
z
- Z- Returns:
- TRUE - z is an Integer
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
IsPositiveInteger
public static final boolean IsPositiveInteger(double z) throws java.lang.ExceptionIndicate if z is a Positive Integer- Parameters:
z
- Z- Returns:
- TRUE - z is a Positive Integer
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
IsNonPositiveInteger
public static final boolean IsNonPositiveInteger(double z) throws java.lang.ExceptionIndicate if z is a Non-Positive Integer- Parameters:
z
- Z- Returns:
- TRUE - z is a Non-Positive Integer
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
IsNegativeInteger
public static final boolean IsNegativeInteger(double z) throws java.lang.ExceptionIndicate if z is a Negative Integer- Parameters:
z
- Z- Returns:
- TRUE - z is a Negative Integer
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
IsNonNegativeInteger
public static final boolean IsNonNegativeInteger(double z) throws java.lang.ExceptionIndicate if z is a Non-Negative Integer- Parameters:
z
- Z- Returns:
- TRUE - z is a Non-Negative Integer
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
Sign
public static final double Sign(double z) throws java.lang.ExceptionIndicate the Sign of z- Parameters:
z
- Z- Returns:
- Sign of z
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
NormalizedPositive
public static final boolean NormalizedPositive(double[] array)Check if the Array Elements are Normalized and Positive- Parameters:
array
- Array- Returns:
- TRUE - The Array Elements are Normalized and Positive
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Fractional
public static final double Fractional(double z) throws java.lang.ExceptionRetrieve the Fractional Part of z- Parameters:
z
- Z- Returns:
- The Fractional Part of z
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
ReciprocalIntegerFloor
public static final int ReciprocalIntegerFloor(double z) throws java.lang.ExceptionRetrieve the Reciprocal Integer Floor of z- Parameters:
z
- Z- Returns:
- The Reciprocal Integer Floor of z
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
PrimeFactorExponentTwo
public static final double PrimeFactorExponentTwo(int n) throws java.lang.ExceptionCompute the Exponent 2 of Prime Factorization for a given Integer- Parameters:
n
- The Integer- Returns:
- Exponent 2 of Prime Factorization for a given Integer
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
BinaryDigitCount
public static final int BinaryDigitCount(int n)Retrieve the Binary Digit Count- Parameters:
n
- N- Returns:
- The Binary Digit Count
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DivideIntegers
public static final int DivideIntegers(int dividend, int divisor) throws java.lang.ExceptionDivide two integers without using multiplication, division, and mod operator. The integer division should truncate toward zero, which means losing its fractional part. For example, truncate(8.345) = 8 and truncate(-2.7335) = -2.- Parameters:
dividend
- Dividenddivisor
- Divisor- Returns:
- The quotient after dividing dividend by divisor
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
Power
public static final double Power(double x, int n) throws java.lang.ExceptionCompute the Integer Power of x- Parameters:
x
- xn
- n- Returns:
- Integer Power of x
- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
NextPrimePalindrome
public static final int NextPrimePalindrome(int n)Find the smallest prime palindrome greater than or equal to the input number. Recall that a number is prime if it's only divisors are 1 and itself, and it is greater than 1. For example, 2,3,5,7,11 and 13 are primes. Recall that a number is a palindrome if it reads the same from left to right as it does from right to left. For example, 12321 is a palindrome.- Parameters:
n
- The Number- Returns:
- The Next Prime Palindrome
-
GCD
public static final long GCD(long a, long b)Greatest Common Divisor between Two Numbers- Parameters:
a
- First Numberb
- Second Number- Returns:
- The GCD
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NthUglyNumber
public static final long NthUglyNumber(long n, long a, long b, long c)Find the nth ugly number. Ugly numbers are positive integers which are divisible by a or b or c.- Parameters:
n
- na
- Ab
- Bc
- C- Returns:
- The nth Ugly Number
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IsNumberSequenceAdditive
public static final boolean IsNumberSequenceAdditive(java.lang.String s)Additive number is a string whose digits can form additive sequence. A valid additive sequence should contain at least three numbers. Except for the first two numbers, each subsequent number in the sequence must be the sum of the preceding two. Given a string containing only digits '0'-'9', write a function to determine if it's an additive number. Note: Numbers in the additive sequence cannot have leading zeros, so sequence 1, 2, 03 or 1, 02, 3 is invalid.- Parameters:
s
- The Input String- Returns:
- TRUE - Input is an Additive Number
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TrailingFactorialZeros
public static final int TrailingFactorialZeros(int n)Estimate the Trailing Factorial Zeros- Parameters:
n
- Factorial NUmber- Returns:
- Number of Training Factor Zeros
-
CanMeasureWater
public static final boolean CanMeasureWater(int x, int y, int z)You are given two jugs with capacities x and y liters. There is an infinite amount of water supply available. You need to determine whether it is possible to measure exactly z liters using these two jugs. If z liters of water is measurable, you must have z liters of water contained within one or both buckets by the end. Operations allowed: Fill any of the jugs completely with water. Empty any of the jugs. Pour water from one jug into another till the other jug is completely full or the first jug itself is empty.- Parameters:
x
- xy
- yz
- z- Returns:
- TRUE - The Measurement can be successfully carried out
-
NthDigit
public static final int NthDigit(int n)Identify the nth Digit of the Number- Parameters:
n
- The Number- Returns:
- The nth Digit
-
Quotient2
public static final int Quotient2(int dividend, int divisor)Given two integers dividend and divisor, divide two integers without using multiplication, division, and mod operator. Return the quotient after dividing dividend by divisor. The integer division should truncate toward zero, which means losing its fractional part. For example, truncate(8.345) = 8 and truncate(-2.7335) = -2. Note: Assume we are dealing with an environment that could only store integers within the 32-bit signed integer range: [âˆ’231, 231 âˆ’ 1]. For this problem, assume that your function returns 231 âˆ’ 1 when the division result overflows.- Parameters:
dividend
- Dividenddivisor
- Divisor- Returns:
- Quotient
-
ReverseInteger
public static final int ReverseInteger(int number)Given a signed 32-bit integer number, return number with its digits reversed. If reversing number causes the value to go outside the signed 32-bit integer range [-231, 231 - 1], then return 0.- Parameters:
number
- The Given Number- Returns:
- The Reverse
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