The JS9 Public API
The JS9 Public API
The JS9 Public API provides a JavaScript programming interface for
interacting with JS9. Obviously, all of JS9 JavaScript code is
available to you within a Web page, but the public API is designed to
stable and well-documented for users and Web designers. It also is the
basis for other external APIs.
Choose from the following sections:
Loading Images
● Load an image into JS9
JS9.Load(url, opts, func)
where:
- url: url to load
- opts: optional display name or object containing image parameters
- func: optional function to call when image load is complete
Load a FITS file or a representation PNG file into JS9. The second argument
can be a JS9 display name (if multiple displays are on the same Web page) or
an object containing image parameters.
To load an image into a specified display, pass the display id:
href='javascript:JS9.Load("png/casa.png", "myJS9");'
To override default image parameters, pass the image opts argument:
href='javascript:JS9.Load("png/m13.png", {scale:"linear", colormap:"sls"});'
Note that the
display can be passed in the image opts object
along with the image parameter overrides:
href='javascript:JS9.Load("fits/3c273.fits", {display: "myJS9", scale: "linear"});'
If a callback function has been specified, it will be called after the image
is loaded with the image handle as the first argument:
func(im);
See Displaying Your Data for further discussion of
how to use this routine.
● Load an image into a light window or a new (separate) window
JS9.LoadWindow(url, opts, type, html, winopts)
where:
- url: url to load
- opts: optional object containing image parameters
- type: "light" or "new"
- html: html for the new page (default is to display a menubar above the image)
- winopts: for "light", optional dhtml window options
This routine will load an image into a light-weight window or an entirely new
window. The
url and
opts arguments are identical to the standard
JS9.Load() call. The
type argument determines whether to create
a light-weight window or a new (separate) window.
By default, the new window will contain a Menubar above an image display area:
You can use the
html argument to supply a different Web page
for the window. Furthermore, if you create a light window, a default
set of DynamicDrive dhtmlwindow parameters will be used to make the
window the correct size for the default html:
"width=512px,height=542px,center=1,resize=1,scrolling=1"
You can supply your own parameters for the new dhtmlwindow using the
winOpts argument. See:
DynamicDrive for more information about their light-weight window.
See js9create.html for examples of how to use this routine.
● Load one or more images when the Web page is ready
JS9.Preload(url1, opts1, url2, opts2, ... url2, optsn)
where:
- url: url to load
- opts: optional object containing image parameters
This routine will pre-load images into a JS9 display when the Web page
is loaded. Typically, it is added to the Web page body element using
the onload() JavaScript call. See js9preload.html for an example.
Working with Images
● Get image handle for subsequent Public API calls
im = JS9.GetImage([id])
where:
- id: the image id, display id or null
returns:
- im: image handle for use in subsequent Public API calls
The image id is the name of the image with the path removed. The display id
is the unique id of the JS9 display "div" element (which defaults to "JS9").
The routine returns the image handle associated with the specified id.
If no id is specified, the image handle of the currently displayed
image object is returned.
The returned image handle can be passed to all Public API calls which
take an id as the first argument. This is marginally more
efficient than repeatedly determining the current image.
● Get image data and auxiliary info for the specified image
imgdata = JS9.GetImageData(id, dflag)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
The image data object contains the following information:
- id: the id of the file that was loaded into JS9
- source: "fits" if a FITS file was downloaded, "fits2png" is a representation file was retrieved
- imtab: "image" or "table"
- width: x-dimension of image
- height: y-dimension of image
- bitpix: bits/pixel for each image element (8 for unsigned char, 16, 32 for signed integer, -32, -64 for float)
- header: JavaScript object containing FITS header values
- data: if dflag is true, a pointer to HTML5 typed array
containing image data
This call returns raw data for subsequent use in local analysis tasks. The data
buffer is a reference to the real data, so be careful about changing values.
Given a FITS-standard 1-indexed image pixel x,y, you can find the data value
at that location using:
val = obj.data[Math.floor(y-1) * obj.width + Math.floor(x-1)];
● Display an image
JS9.DisplayImage(id, step)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- step: starting steps to take when displaying the image
The display steps are: "colors" (remake color data when cmap has changed),
"scaled" (rescale data values), "primary" (convert scaled data values
to color values), and "display" (write color values to the Web page).
The default step is "primary", which displays the image without recalculating
color data, scaled data, etc.
● Re-read the data from a fits file and re-display
JS9.RefreshImage(id, fitsobj, func)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- fitsobj: new FITS object from which to take raw data for display
- func: optional function to call when image load is complete
This routine can be used, for example, in laboratory settings where
data is being gathered in real-time and the JS9 display needs to be
refreshed periodically. The call takes a fits object as the second
argument. It will refresh the display using the new data contained in that
object.
Although the FITS object is derived from fitsy.js, you can, in
principle, generate it using other techniques. It should contains the
following properties:
- hdu.naxis: number of axes in the image
- hdu.axis: array of dimensions for each axis
- hdu.bitpix: FITS bitpix value
- hdu.image: typed data array containing current image data
- hdu.head: object containing header keywords as properties
- hdu.card: string version of the header with comments (optional)
- hdu.dmin: data min (optional)
- hdu.dmax: data max (optional)
● Clear the image from the display and mark resources for release
JS9.CloseImage(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
Each loaded image utilizes a non-trivial amount of memory from a
finite amount of heap space. For example, the default 32-bit version
of Google Chrome has a memory limit of approximately 500Mb. If you are
finished viewing an image, closing it tells the browser that the image's
memory can be freed up. In principle, this is can help reduce overall
memory usage when many images are being loaded and discarded. Note,
however, that closing an image only provides a hint to the browser,
since this sort of garbage collection is not directly accessible.
● Get the image colormap
cmap = JS9.GetColormap(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
returns:
- cmap: string containing colormap name
Get the current colormap name.
● Set the image colormap
JS9.SetColormap(id, cmap, [contrast, bias])
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- cmap: colormap name
- contrast: contrast value (range: 0 to 10)
- bias: bias value (range 0 to 1)
Set the current colormap, contrast/bias, or both. This call takes one
(colormap), two (contrast, bias) or three (colormap, contrast, bias)
arguments.
● Get the image zoom factor
zoom = JS9.GetZoom(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
returns:
- zoom: floating point zoom factor
Get the zoom factor.
● Set the image zoom factor
JS9.SetZoom(id, zoom)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- zoom: floating or integer zoom factor or zoom directive string
The zoom directives are:
- x[n]|X[n]: multiply the zoom by n (e.g. "x2")
- /[n]: divide the zoom by n (e.g. "/2")
- in|In: zoom in by a factor of two
- out|Out: zoom out by a factor of two
- toFit|ToFit: zoom to fit image in display
● Get the image pan position
point = JS9.GetPan(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
returns:
- ipos: image position object containing x and y image
coordinate values
Get the current pan position in image coordinates.
● Set the image pan position
JS9.SetPan(id, x, y)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- x: x image coordinate
- y: y image coordinate
Set the current pan position using image coordinates.
Note that you can use
JS9.WCSToPix() and
JS9.PixToWCS() to
convert between image and WCS coordinates.
● Get the display coordinates from an event
dpos = JS9.EventToDisplayPos(evt)
where:
returns:
- dpos: display position object containing x and y display
coordinate values
If you define your own event callbacks, you can use this routine to convert
the event position to a display position, which can then be used to get the
image position (see below).
● Get the image coordinates from the display coordinates
ipos = JS9.DisplayToImagePos(id, dpos)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- dpos: display position object containing x and y display
coordinate values
returns:
- ipos: image position object containing x and y image
coordinate values
Note that image coordinates are one-indexed, as per FITS conventions.
● Get the display coordinates from the image coordinates
dpos = JS9.ImageToDisplayPos(id, ipos)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- ipos: image position object containing x and y image
coordinate values
returns:
- dpos: display position object containing x and y display
coordinate values
Get display (screen) coordinates from image coordinates.
Note that image coordinates are one-indexed, as per FITS conventions.
● Get the current WCS units
unitsstr = JS9.GetWCSUnits(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
returns:
- unitstr: "pixels", "degrees" or "sexagesimal"
Get the current WCS units.
● Set the current WCS units
JS9.SetWCSUnits(id, unitsstr)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- unitstr: "pixels", "degrees" or "sexagesimal"
Set the current WCS units.
● Get the current World Coordinate System
sysstr = JS9.GetWCSSys(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
returns:
- sysstr: current World Coordinate System ("FK4", "FK5", "ICRS",
"galactic", "ecliptic", or "image");
Get current WCS system.
● Set the current World Coordinate System
JS9.SetWCSSys(id, sysstr)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- sysstr: World Coordinate System ("FK4", "FK5", "ICRS",
"galactic", "ecliptic", "image", or "physical")
Set current WCS system. The WCS systems are available only if WCS
information is in the FITS header. Also note that "physical"
coordinates are the coordinates tied to the original file. They are
mainly used in X-ray astronomy where individually detected photon
events are binned into an image, possibly using a blocking factor.
For optical images, image and physical coordinate usually are
identical.
● Convert image pixel position to WCS position
wcsobj = JS9.PixToWCS(id, x, y)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- x: x image coordinate
- y: y image coordinate
returns:
- wcsobj: world coordinate system object
The wcs object contains the following properties:
- ra: right ascension in floating point degrees
- dec: declination in floating point degrees
- sys: current world coordinate system being used
- str: string of wcs in current system ("[ra] [dec] [sys]")
● Convert WCS position to image pixel position
pixobj = JS9.WCSToPix(id, ra, dec)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- ra: right ascension in floating point degrees
- dec: declination in floating point degrees
returns:
The pixel object contains the following properties:
- x: x image coordinate
- y: y image coordinate
- str: string of pixel values ("[x]" "[y]")
Working with Regions
The region layer is a special case of the more generalized shape layers. JS9
automatically creates a shape layer called "regions" to support the options
in the Regionsmenu, as well as local and server-side analysis of image
data using regions.
Note that GetRegions(), ChangeRegions(), RemoveRegions() calls
all take a regions specification as the second argument, which can be
any of the following (in order of precedence):
- all: all regions
- [id]: a specific region id
- selected: the selected region (or all regions in the selected group)
- [color]: all regions having the specified color (e.g., "red")
- [shape]: all regions having the specified shape (e.g., "circle")
- [tag]: all regions containing the specified tag (e.g., "source")
Thus, it is possible to act on multiple regions at the same time.
● Add one or more regions to the region layer
JS9.AddRegions(id, rarr, opts)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- rarr: a region shape string or an array of region objects
- opts: global values to apply to each created region
returns:
- id: id of last region created
The
rarr argument can be a region type ("annulus", "box",
"circle", "ellipse", "point", "polygon", "text") or it can be an array
of region objects, each of which containing one or more properties.
The most important properties are:
- shape: "annulus", "box", "circle", "ellipse", "point", "polygon", "text" [REQUIRED]
- x: image x position
- y: image y position
- lcs: object containing logical x, y and sys (e.g. "physical")
- dx: increment from current image x position
- dy: increment from current image y position
- tags: comma separated list of tag strings
- radii: array of radii for annulus region
- width: width for box region
- height: height for box region
- radius: radius value for circle region
- r1: x radius for ellipse region (misnomer noted)
- r2: y radius for ellipse region (misnomer noted)
- pts: array of objects containing x and y positions for polygons
- points: array of objects containing x and y offsets from the center for polygons
- angle: angle in degrees for box and ellipse regions
- color: region color (string name or #rrggbb syntax)
- text: text associated with text region
Other available properties include:
- fixinplace: if true, region cannot be moved or resized
- lockMovementX: region cannot be moved in the X direction
- lockMovementY: region cannot be moved in the Y direction
- lockRotation: region cannot be rotated
- lockScalingX: region cannot be resized in the X direction
- lockScalingY: region cannot be resized in the X direction
- fontFamily: font parameter for text region
- fontSize: font parameter for text region
- fontStyle: font parameter for text region
- fontWeight: font parameter for text region
● Get information about one or more regions
rarr = JS9.GetRegions(id , regions)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- regions: specification of regions to retrieve
returns:
- rarr: array of region objects.
Each returned region object contains the following properties:
- id: numeric region id (assigned by JS9 automatically)
- mode: "add", "remove" or "change"
- shape: region shape ("annulus", "box", "circle", "ellipse",
"point", "polygon", "text")
- tags: comma delimited list of region tags (e.g., "source", "include")
- color: region color
- x,y: image coordinates of region
- radii: array of radii for annulus region
- width: width for box region
- height: height for box region
- radius: radius value for circle region
- r1: x radius for ellipse region (misnomer noted)
- r2: y radius for ellipse region (misnomer noted)
- pts: array of objects containing x and y positions for polygons
- points: array of objects containing x and y offsets from the center for polygons
- angle: angle in degrees for box and ellipse regions
The image position can be used to access the image data returned by the
JS9.GetImageData() routine:
obj = JS9.GetImageData(id);
xreg = JS9.GetRegions(id, "selected")[0];
val = obj.data[Math.floor(xreg.y-1) * obj.width + Math.floor(xreg.x-1)];
● Change one or more regions
JS9.ChangeRegions(id, regions, opts)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- regions: specification of regions to change
- opts: object containing options to change in each region
Change one or more regions. The opts object can contain the parameters
described in the
JS9.AddRegions() section. However, you cannot (yet)
change the shape itself (e.g. from "box" to "circle"). See js9onchange.html
for examples of how to use this routine.
● Remove one or more regions from the region layer
JS9.RemoveRegions(id, regions)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- regions: specification of regions to remove
Working with Shape Layers
JS9 supports individual layers for drawing 2D graphics. Regions are
allocated their own layer, as are the catalogs and contours created by
the Catalogs and Contour plugins, respectively. You can define your
own shape layer using the NewShapeLayer() call and then add
geometric shapes to it.
Note that GetShapes(), ChangeShapes(), RemoveShapes() calls all
take a shape specification as the second argument, which can be any of
the following (in order of precedence):
- all: all shapes in this layer
- [id]: a specific shape id
- selected: the selected shape (or all shapes in the selected group)
- [color]: all shapes having the specified color (e.g., "red")
- [shape]: all shapes having the specified shape (e.g., "circle")
- [tag]: all shapes containing the specified tag (e.g., "source")
- :
Thus, it is possible to act on multiple shapes at the same time.
● Create a new shape layer
lid = JS9.NewShapeLayer(id, layer, opts)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- layer: name of the layer to create
- opts: default options for this layer
returns:
● Show or hide the specified shape layer
JS9.ShowShapeLayer(id, layer, mode)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- layer: name of layer
- mode: true (show layer) or false (hide layer)
● Add one or more shapes to the specified layer
JS9.AddShapes(id, sarr, opts)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- sarr: a shape string array of shape objects
- opts: global values to apply to each created shape
returns:
- id: id of last shape created
The
sarr argument can be a shape type ("annulus", "box", "circle", "ellipse", "point", "polygon", "text") or it can be an array of shape objects, each
of which containing one or more properties. The most important properties are:
- shape: "annulus", "box", "circle", "ellipse", "point", "polygon", "text" [REQUIRED]
- x: image x position
- y: image y position
- dx: increment from current image x position
- dy: increment from current image y position
- tags: comma separated list of tag strings
- radii: array of radii for annulus shape
- width: width for box shape
- height: height for box shape
- radius: radius value for circle shape
- r1: x radius for ellipse shape (misnomer noted)
- r2: y radius for ellipse shape (misnomer noted)
- pts: array of objects containing x and y positions for polygons
- points: array of objects containing x and y offsets from the center for polygons
- angle: angle in degrees for box and ellipse shapes
- color: shape color (string name or #rrggbb syntax)
- text: text associated with text shape
Other available properties include:
- fixinplace: if true, shape cannot be moved or resized
- lockMovementX: shape cannot be moved in the X direction
- lockMovementY: shape cannot be moved in the Y direction
- lockRotation: shape cannot be rotated
- lockScalingX: shape cannot be resized in the X direction
- lockScalingY: shape cannot be resized in the X direction
- fontFamily: font parameter for text shape
- fontSize: font parameter for text shape
- fontStyle: font parameter for text shape
- fontWeight: font parameter for text shape
● Remove one or more shapes from the specified shape layer
JS9.RemoveShapes(id, shapes)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- shapes: specification of shapes to remove
● Get information about one or more shapes in the specified shape layer
JS9.GetShapes(id, shapes)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- shapes: specification of shapes to retrieve
returns:
- sarr: array of shape objects
Each returned shape object contains the following properties:
- id: numeric region id (assigned by JS9 automatically)
- mode: "add", "remove" or "change"
- shape: region shape ("annulus", "box", "circle", "ellipse",
"point", "polygon", "text")
- tags: comma delimited list of region tags (e.g., "source", "include")
- color: region color
- x,y: image coordinates of region
- size: object containing width and height for box region
- radius: radius value for circle region
- radii: array of radii for annulus region
- eradius: object containing x and y radii for ellipse regions
- pts: array of objects containing x and y positions for polygons
- angle: angle in degrees for box and ellipse regions
● Change one or more shapes in the specified layer
JS9.ChangeShapes(id, shapes, opts)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- shapes: specification of shapes to change
- opts: object containing options to change in each shape
Change one or more shapes. The opts object can contain the parameters
described in the
JS9.AddShapes() section. However, you cannot (yet)
change the shape itself (e.g. from "box" to "circle").
Server-side Analysis
● Run a simple analysis call
JS9.RunAnalysis(id, aname, obj, func)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- aname: name of analysis tool
- obj: optional extra macro-expansion options for command line
- func: optional routine to call when analysis is completed on server
● Run a server-side analysis call containing parameters in a form
JS9.SubmitAnalysis(el, aname, id, func)
where:
- el: form element
- aname: name of analysis tool
- id: display id or null
- func: optional routine to call when analysis is completed on server
Miscellaneous
● Print an image
JS9.Print(id)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
Print the currently displayed image. A new window is displayed
containing the image, along with regions and other graphical layers
(2D graphics having been converted to a re-scalable format). Use
the displayed Print dialog box to print this window.
● Display help in a light window
JS9.DisplayHelp(name)
where:
- name: name of a help file or url of a Web site to display
The help file names are the property names in JS9.helpOpts (e.g., "user" for
the user page, "install" for the install page, etc.). Alternatively, you can
specify an arbitrary URL to display (just because).
● Load an auxiliary file
JS9.LoadAuxFile(id, url, func)
where:
- id: the image handle, image id, display id or null (see JS9.GetImage())
- url: the url of a file to load
- func: function to call once the file is loaded
● Get location of JS9 installation directory
rpath = JS9.InstallDir(file)
where:
- file: file or directory to convert
returns:
- rpath: path of the file relative to the JS9 install directory
Sometimes a plugin needs to load an auxiliary file inside the plugins
sub-directory. Since the Web page loading the plugin has an arbitrary location
relative to the JS9 install directory, this routine returns a relative path
so that files within the JS9 install dir can be loaded properly.
Last updated: June 26, 2014


Vardy lifts Leicester to 3rd with win at Palace
London - Leicester moved up to third in the Premier League as the Foxes fine form continued with a hard-fought 2-0 win at Crystal Palace thanks to second half goals from Caglar Soyuncu and Jamie Vardy.
Brendan Rodgers's men smashed Southampton 9-0 last Friday, but were made to work much harder for all three points by a resilient Palace.
Soyuncu's stooping header from James Maddison's corner just before the hour mark made the breakthrough and Vardy's hot streak continued when he finished off an excellent team move two minutes from time.
Leicester edge ahead of Chelsea on goal difference and six points clear of fifth-placed Arsenal, who they host next weekend, in the battle for a top four finish.
Vardy had the best opportunity of an uninspired first half when a wonderful Maddison pass freed the former England international in behind, but he could not force the ball beyond Vicente Guaita from a narrow angle.
Set-pieces seemed the most likely source of a goal for either side early on and Jonny Evans headed the first warning shot from the visitors looping just over moments later.
Vardy was then inches away from latching onto a brilliant defence-splitting pass from Youri Tielemans, but it was the hosts who threatened first after the break.
Cheikhou Kouyate's cross picked out Jordan Ayew, but the Ghanaian could not make contact as the ball flashed across goal.
At the other end Evans threatened again when he met a Maddison corner with a towering header that Guaita turned over the bar.
However, from the resulting corner, Leicester made the breakthrough when Soyuncu stooped to head home.
Palace have scored just four goals in their first six home games of the season and their lack of a goal threat was clear as they probed for an equaliser without ever forcing Kasper Schmeichel into a serious save.
Leicester then produced one of the few real moments of quality in the game to seal all three points when Vardy played a one-two with substitute Demarai Gray before drilling into the bottom corner with his left foot.


Liam Gallagher declares “ignorance is bliss” as he favours vinyl over Spotify
"I don't think I've ever used Spotify once in my life. I don't even know how to use it. I don't have a clue"
Liam Gallagher has admitted that he “doesn’t have a clue” when it comes to music streaming services and that he has no intention of ever using them.
- Read more: Liam Gallagher – ‘Why Me? Why Not.’ review: a stellar sequel that adds depth of character
The former Oasis frontman says he much prefers to listen to vinyl than digital services such as Spotify.
He told the Huffington Post: ”I stay away from that. I don’t think I’ve ever used Spotify once in my life and I don’t think I intend to either. I don’t even know how to use it. I don’t have a clue.
”Part of it is, ignorance is bliss. All these new ways to listen to music have gone way over my head, and I’m quite happy with it. Call it that I’m stuck in the ’90s. I listen to tunes on the record player.”
This is not the first time Gallagher has shunned the service. Back in 2013 he expressed similar views and said that he didn’t “even know what Spotify is.”
Gallagher recently revealed the title of his third album – even though his second album only came out last month.
“Yeah. The next one is going to be called ‘Come On You Know’, pure positive As soon as I get the titles man, we are off,” he said.
In a four star review of Gallagher’s latest, NME said: “This album lacks the novelty factor – Liam finally going solo – that made ‘As You Were’ so welcome. But it’s more diverse (everything’s relative) and textured.
“At times, as on the trippy, psychedelic breakdown that precedes the final reprise of ‘Once’, it drifts deliciously close to “cosmic pop”, the phrase Liam has used to slag off his brother’s more experimental solo stuff…He’d perhaps do well to take his own advice and give the Noel-baiting stuff a break, but this is a cracking sequel nonetheless.”
He also recently received the first ever Rock Icon Award at the MTV’s EMAs.


__MSG__RECENT_CONTACTS__
Sarah Primrose
Lead Researcher
George Mansfield
Researcher
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Package org.drip.spaces.graph
Class ShortestPathTree
- java.lang.Object
-
- org.drip.spaces.graph.ShortestPathTree
-
public class ShortestPathTree extends java.lang.Object
ShortestPathTree holds the Map of Vertex Peripheries by Weight and Vertex Name. The References are:
- Wikipedia (2018a): Graph (Abstract Data Type) https://en.wikipedia.org/wiki/Graph_(abstract_data_type)
- Wikipedia (2018b): Graph Theory https://en.wikipedia.org/wiki/Graph_theory
- Wikipedia (2018c): Graph (Discrete Mathematics) https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)
- Wikipedia (2018d): Dijkstra's Algorithm https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm
- Wikipedia (2018e): Bellman-Ford Algorithm https://en.wikipedia.org/wiki/Bellman%E2%80%93Ford_algorithm
- Module = Computational Core Module
- Library = Statistical Learning Library
- Project = R1 and Rd Vector/Tensor Spaces (Validated and/or Normed), and Function Classes
- Package = Graph Representation and Traversal Algorithms
- Author:
- Lakshmi Krishnamurthy
-
-
Constructor Summary
Constructors Constructor Description ShortestPathTree()
Empty ShortestPathTree Constructor
-
Method Summary
Modifier and Type Method Description boolean
addShortestPathVertex(ShortestPathVertex shortestPathVertex)
Add a shortestPathVertexboolean
addUnitializedShortestPathVertex(java.lang.String vertexName)
Add an Uninitialized ShortestPathVertexboolean
containsVertex(java.lang.String vertexName)
Indicate of the Vertex is available in the Periphery MapShortestPathVertex
greedyShortestPathVertex()
Retrieve the Vertex Periphery with the least Weightjava.util.Map<java.lang.String,ShortestPathVertex>
nameIndex()
Retrieve the Name Indexed Vertex Periphery MapShortestPathVertex
shortestPathVertex(java.lang.String vertexName)
Retrieve the Vertex Periphery by Namejava.util.Map<java.lang.Double,java.util.List<ShortestPathVertex>>
weightIndex()
Retrieve the Weight Indexed Vertex Periphery Map
-
-
-
Method Detail
-
addShortestPathVertex
public boolean addShortestPathVertex(ShortestPathVertex shortestPathVertex)
Add a shortestPathVertex- Parameters:
shortestPathVertex
- The shortestPathVertex- Returns:
- TRUE - The shortestPathVertex successfully added
-
addUnitializedShortestPathVertex
public boolean addUnitializedShortestPathVertex(java.lang.String vertexName)
Add an Uninitialized ShortestPathVertex- Parameters:
vertexName
- The Vertex Name- Returns:
- TRUE - An Uninitialized ShortestPathVertex successfully added
-
containsVertex
public boolean containsVertex(java.lang.String vertexName)
Indicate of the Vertex is available in the Periphery Map- Parameters:
vertexName
- The Vertex Name- Returns:
- TRUE - The Vertex is available in the Periphery Map
-
shortestPathVertex
public ShortestPathVertex shortestPathVertex(java.lang.String vertexName)
Retrieve the Vertex Periphery by Name- Parameters:
vertexName
- The Vertex Name- Returns:
- The Vertex Periphery by Name
-
greedyShortestPathVertex
public ShortestPathVertex greedyShortestPathVertex()
Retrieve the Vertex Periphery with the least Weight- Returns:
- The Vertex Periphery with the least Weight
-
nameIndex
public java.util.Map<java.lang.String,ShortestPathVertex> nameIndex()
Retrieve the Name Indexed Vertex Periphery Map- Returns:
- The Name Indexed Vertex Periphery Map
-
weightIndex
public java.util.Map<java.lang.Double,java.util.List<ShortestPathVertex>> weightIndex()
Retrieve the Weight Indexed Vertex Periphery Map- Returns:
- The Weight Indexed Vertex Periphery Map
-
-


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Contents:
uutot.awk - Report UUCP Statistics
phonebill - Track Phone Usage
combine - Extract Multipart uuencoded Binaries
mailavg - Check Size of Mailboxes
adj - Adjust Lines for Text Files
readsource - Format Program Source Files for troff
gent - Get a termcap Entry
plpr - lpr Preprocessor
transpose - Perform a Matrix Transposition
m1 - Simple Macro Processor
This chapter contains a miscellany of scripts contributed by Usenet users. Each program is introduced with a brief description by the program's author. Our comments are placed inside brackets [like this]. Then the full program listing is shown. If the author did not supply an example, we generate one and describe it after the listing. Finally, in a section called "Program Notes," we talk briefly about the program, highlighting some interesting points. Here is a summary of the scripts:
Report UUCP statistics.
Track phone usage.
Extract multipart uuencoded binaries.
Check size of mailboxes.
Adjust lines for text files.
Format program source files for troff.
Get a termcap entry.
lpr preprocessor.
Perform a matrix transposition.
A very simple macro processor.
Contributed by Roger A. Cornelius
Here's something I wrote in nawk in response to all the C versions of the same thing which were posted to alt.sources awhile back. Basically, it summarizes statistics of uucp connections (connect time, throughput, files transmitted, etc.). It only supports HDB-style log files, but will show statistics on a site-by-site, or on an overall (all sites), basis. [It also works with /usr/spool/uucp/SYSLOG.]
I use a shell wrapper which calls "awk -f" to run this, but it's not necessary. Usage information is in the header. (Sorry about the lack of comments.)
# @(#) uutot.awk - display uucp statistics - requires new awk # @(#) Usage:awk -f uutot.awk [site ...] /usr/spool/uucp/.Admin/xferstats # Author: Roger A. Cornelius<EMAIL_ADDRESS># dosome[]; # site names to work for - all if not set # remote[]; # array of site names # bytes[]; # bytes xmitted by site # time[]; # time spent by site # files[]; # files xmitted by site BEGIN { doall = 1; if (ARGC > 2) { doall = 0; for (i = 1; i < ARGC-1; i++) { dosome[ ARGV[i] ]; ARGV[i] = ""; } } kbyte = 1024 # 1000 if you're not picky bang = "!"; sending = "->"; xmitting = "->" "|" "<-"; hdr1 = "Remote K-Bytes K-Bytes K-Bytes " \ "Hr:Mn:Sc Hr:Mn:Sc AvCPS AvCPS # #\n"; hdr2 = "SiteName Recv Xmit Total " \ "Recv Xmit Recv Xmit Recv Xmit\n"; hdr3 = "-------- --------- --------- --------- -------- " \ "-------- ----- ----- ---- ----"; fmt1 = "%-8.8s %9.3f %9.3f %9.3f %2d:%02d:%02.0f " \ "%2d:%02d:%02.0f %5.0f %5.0f %4d %4d\n"; fmt2 = "Totals %9.3f %9.3f %9.3f %2d:%02d:%02.0f " \ "%2d:%02d:%02.0f %5.0f %5.0f %4d %4d\n"; } { if ($6 !~ xmitting) # should never be next; direction = ($6 == sending ? 1 : 2) site = substr($1,1,index($1,bang)-1); if (site in dosome || doall) { remote[site]; bytes[site,direction] += $7; time[site,direction] += $9; files[site,direction]++; } } END { print hdr1 hdr2 hdr3; for (k in remote) { rbyte += bytes[k,2]; sbyte += bytes[k,1]; rtime += time[k,2]; stime += time[k,1]; rfiles += files[k,2]; sfiles += files[k,1]; printf(fmt1, k, bytes[k,2]/kbyte, bytes[k,1]/kbyte, (bytes[k,2]+bytes[k,1])/kbyte, time[k,2]/3600, (time[k,2]%3600)/60, time[k,2]%60, time[k,1]/3600, (time[k,1]%3600)/60, time[k,1]%60, bytes[k,2] && time[k,2] ? bytes[k,2]/time[k,2] : 0, bytes[k,1] && time[k,1] ? bytes[k,1]/time[k,1] : 0, files[k,2], files[k,1]); } print hdr3 printf(fmt2, rbyte/kbyte, sbyte/kbyte, (rbyte+sbyte)/kbyte, rtime/3600, (rtime%3600)/60, rtime%60, stime/3600, (stime%3600)/60, stime%60, rbyte && rtime ? rbyte/rtime : 0, sbyte && stime ? sbyte/stime : 0, rfiles, sfiles); }
A test file was generated to test Cornelius' program. Here are a few lines extracted from /usr/spool/uucp/.Admin/xferstats (because each line in this file is too long to print on a page, we have broken the line following the directional arrow for display purposes only):
isla!nuucp S (8/3-16:10:17) (C,126,25) [ttyi1j] -> 1131/4.880 secs, 231 bytes/sec isla!nuucp S (8/3-16:10:20) (C,126,26) [ttyi1j] -> 149/0.500 secs, 298 bytes/sec isla!sue S (8/3-16:10:49) (C,126,27) [ttyi1j] -> 646/25.230 secs, 25 bytes/sec isla!sue S (8/3-16:10:52) (C,126,28) [ttyi1j] -> 145/0.510 secs, 284 bytes/sec uunet!uisla M (8/3-16:15:50) (C,951,1) [cui1a] -> 1191/0.660 secs, 1804 bytes/sec uunet!uisla M (8/3-16:15:53) (C,951,2) [cui1a] -> 148/0.080 secs, 1850 bytes/sec uunet!uisla M (8/3-16:15:57) (C,951,3) [cui1a] -> 1018/0.550 secs, 1850 bytes/sec uunet!uisla M (8/3-16:16:00) (C,951,4) [cui1a] -> 160/0.070 secs, 2285 bytes/sec uunet!daemon M (8/3-16:16:06) (C,951,5) [cui1a] <- 552/2.740 secs, 201 bytes/sec uunet!daemon M (8/3-16:16:09) (C,951,6) [cui1a] <- 102/1.390 secs, 73 bytes/sec
Note that there are 12 fields; however, the program really only uses fields 1, 6, 7, and 9. Running the program on the sample input produces the following results:
$nawk -f uutot.awk uutot.test
Remote K-Bytes K-Bytes K-Bytes Hr:Mn:Sc Hr:Mn:Sc AvCPS AvCPS # # SiteName Recv Xmit Total Recv Xmit Recv Xmit Recv Xmit -------- --------- --------- --------- -------- -------- ----- ----- ---- ---- uunet 0.639 2.458 3.097 0:04:34 2:09:49 2 0 2 4 isla 0.000 2.022 2.022 0:00:00 0:13:58 0 2 0 4 -------- --------- --------- --------- -------- -------- ----- ----- ---- ---- Totals 0.639 4.480 5.119 0:04:34 2:23:47 2 1 2 8
This nawk application is an excellent example of a clearly written awk program. It is also a typical example of using awk to change a rather obscure UNIX log into a useful report.
Although Cornelius apologizes for the lack of comments that explain the logic of the program, the usage of the program is clear from the initial comments. Also, he uses variables to define search patterns and the report's layout. This helps to simplify conditional and print statements in the body of the program. It also helps that the variables have names which aid in immediately recognizing their purpose.
This program has a three-part structure, as we emphasized in Chapter 7, Writing Scripts for awk. It consists of a BEGIN procedure, in which variables are defined; the body, in which each line of data from the log file is processed; and the END procedure, in which the output for the report is generated.


Dev's week 8 Cultural Blog Site
Cultural Blog: Dealing with Conflict
Conflict
- The last time I had conflict with someone was at work. We had a disagreement about how to manage a client. My co-worker wanted to do everything the client asked but I insisted we not say yes to everything. Ultimately we agreed to disagree.
- The source of the conflict was a difference in philosophies and beliefs.
- I tried to be respectful and explain my position without being offensive or rude.
- I think since the other person would not budge the conflict grew more instense initially. After some more thought I realized the reasons why the other person had taken the position they had. After that realization I was able to understand them better and the conflict died down.
- I think looking back now I would try to understand the other persons reasons for the position they were taking sooner
- I learned that everyone has their reasons for why the act and feel the way they do. Once we realize that it's easier to understand people.


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Mandi J, Guns T (2020) Interior Point Solving for LP-based prediction+ optimisation. arXiv preprint arXiv:2010.13943.
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PDX Hackerspace is an educational non-profit organization with nearly 250 engineers, designers, and fabricators, with a very well equipped facility that is now tooled up and ready to produce PPE on demand free of charge to organizations working to combat the COVID-19 pandemic.
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Header file for Engine-Job A job is the instance of certain task. So it has dynamical properties with the task. Job can have below properties. More...
#include <Job.h>
Public Member Functions | |
| Job () | |
| the function of basic constructor of Job More... | |
| Job () | |
| ~Job () | |
| the function of basic destroyer of Job More... | |
| Public Member Functions inherited from Task | |
| Task () | |
| the function of basic constructor of Task More... | |
| Task (std::string, int, int, int, int, int, int, int, int, std::string, std::string) | |
| ~Task () | |
| the function of basic destroyer of Task More... | |
| virtual void | Update ()=0 |
| virtual bool | ShouldWeExecute ()=0 |
Private Attributes | |
| int | job_id |
Header file for Engine-Job A job is the instance of certain task. So it has dynamical properties with the task. Job can have below properties.
| Job::Job | ( | ) |
| Job::Job | ( | ) |
| Job::~Job | ( | ) |


Road's End is a famous castle in easternmost point in England near the shore. It was build in 16th century by the famous slave trader Jason Wicked. Who later made this caste his graveyard. After that the castle was abandoned for three centuries, but sir Will Colen bought the land and rebuilded the castle. Later the buiding was used as hospital in the World War II. After that it was sold off to us, and we redesigned it to be a hotel-museum, a place where you can relive history. So fellow reader this is your chance to be part of the castle history. Come and meet us at Road`s End.
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Evelin Trust
Rate:
The castle's personeel is very profesional. They are realy friendly and willing to help if its needed. Everything at the castle is authentic and like it was taken from some fairy tell. But I personaly will come again next year to relax at the garden and to see the beautiful night sky.
Jim Cossac


dcaflib.containers.palindrome
palindrome.d contains the isPalindrome function.
Authors:
Nathan M. Swan, aka carlor
License:
Boost Software License - Version 1.0
- bool isPalindrome(R)(R range);
- Calculates whether the finite range given is a palindrome.
It is entirely consumed.
Page generated by Ddoc. (C) 2012 Nathan M. Swan


Game III
问题描述 :
Zjt and Sara will take part in a game, named Game III. Zjt and Sara will be in a maze, and Zjt must find Sara. There are some strang rules in this maze. If Zjt move a step, Sara will move a step in opposite direction.
Now give you the map , you shold find out the minimum steps, Zjt have to move. We say Zjt meet Sara, if they are in the same position or they are adjacent .
Zjt can only move to a empty position int four diraction (up, left, right, down). At the same time, Sara will move to a position in opposite direction, if there is empty. Otherwise , she will not move to any position.
The map is a N*M two-dimensional array. The position Zjt stays now is marked Z, and the position, where Sara stays, is marked E.
Now give you the map , you shold find out the minimum steps, Zjt have to move. We say Zjt meet Sara, if they are in the same position or they are adjacent .
Zjt can only move to a empty position int four diraction (up, left, right, down). At the same time, Sara will move to a position in opposite direction, if there is empty. Otherwise , she will not move to any position.
The map is a N*M two-dimensional array. The position Zjt stays now is marked Z, and the position, where Sara stays, is marked E.
> . : empty position
> X: the wall
> Z: the position Zjt now stay
> S: the position Sara now stay
Your task is to find out the minimum steps they meet each other.
输入:
The input contains several test cases. Each test case starts with a line contains three number N ,M (2<= N <= 20, 2 <= M <= 20 ) indicate the size of the map. Then N lines follows, each line contains M character. A Z and a S will be in the map as the discription above.
输出:
The input contains several test cases. Each test case starts with a line contains three number N ,M (2<= N <= 20, 2 <= M <= 20 ) indicate the size of the map. Then N lines follows, each line contains M character. A Z and a S will be in the map as the discription above.
样例输入:
4 4 XXXX .Z.. .XS. XXXX 4 4 XXXX .Z.. .X.S XXXX 4 4 XXXX .ZX. .XS. XXXX
样例输出:
1 1 Bad Luck!
使用四维数组进行状态判重 注意要用scanf(“%s“）或者gets 用cin莫名其妙WA 我查了30分钟错都没查出 改一下就好了 FUCK~~~
这道DK有更有效率的BFS 所以这次2个代码都贴上 任君瞻仰
解题转自：http://www.cnblogs.com/zhuangli/archive/2008/09/06/1285767.html
(adsbygoogle = window.adsbygoogle || []).push({});
凹凸曼：不能打架！不能打架！金坷垃好处都有啥？
这个问题应该是有一般性的解决方法
為甚麼fln*20+0.5f
I go through some of your put up and I uncovered a good deal of expertise from it. Many thanks for posting this sort of exciting posts
这种二分还是比较经典！mark
辛苦了，顶
不太懂呀，乡亲们。原理知道代码不会
Excellent Web-site! I required to ask if I might webpages and use a component of the net web website and use a number of factors for just about any faculty process. Please notify me through email regardless of whether that would be excellent. Many thanks
递归实现的代码部分
14句和18句的 wt[n - 1]是不是应该改为 wt[ n ] ?
第二个解法好像不对
大致看了下，算法的时间复杂度没有很本性的提升，算不上高效。
很好，解决了
都是一些基础题啊
编辑的时候有些不小心了
great work！


Watch live: Trump honors Alison Krauss, Jon Voight, others with National Medal of the Arts
by Danielle HaynesNov. 21 (UPI) -- President Donald Trump on Thursday will award the National Medal of the Arts and the National Humanities Medal for the first time since he took office.
The ceremony is scheduled to take place at 3:30 p.m. EST in the East Room of the White House.
Among the winners of the National Medal of Arts are country singer Alison Krauss, philanthropist Sharon Percy Rockefeller, the musicians of the U.S. military and actor Jon Voight. The National Humanities Medal recipients include the Claremont Institute, philanthropist Teresa Lozano Long, chef Patrick J. O'Connell and author James Patterson.
Both medals have typically been awarded annually by sitting presidents since the 1980s.


Template Editing
Loomy
adds some additional features to the default HTML editor to allow faster and safer creation of
Tapestry
templates.
This section covers the following features:
Syntax Highlighting
Error Detection
Auto-Completion
Navigation


| function |
fn
The callback that will be execute when the event fires
|
| object |
obj
An optional custom object that will passed to the callback when
the event fires
|
| boolean |
override
The default execution scope for the event listener is defined when the
event is created (usually the object which contains the event).
|
Class YAHOO.util.Subscriber
Object | +--YAHOO.util.Subscriber
class
YAHOO.util.Subscriber
Field Summary [top]
Method Summary [top]
| boolean |
contains
(<Function> fn, <Object> obj)
Returns true if the fn and obj match this objects properties.
|
Field Detail [top]
fn
function
fn
The callback that will be execute when the event fires
obj
object
obj
An optional custom object that will passed to the callback when
the event fires
override
boolean
override
The default execution scope for the event listener is defined when the
event is created (usually the object which contains the event).
By setting override to true, the execution scope becomes the custom
object passed in by the subscriber
Constructor Detail [top]
YAHOO.util.Subscriber
YAHOO.util.Subscriber
()
- Parameters:
-
fn
- The function to execute -
obj
- An object to be passed along when the event fires -
bOverride
- If true, the obj passed in becomes the execution scope of the listener
Method Detail [top]
contains
boolean
contains
(<Function> fn, <Object> obj)
Returns true if the fn and obj match this objects properties.
Used by the unsubscribe method to match the right subscriber.
- Parameters:
-
fn
- the function to execute -
obj
- an object to be passed along when the event fires
- Returns:
- true if the supplied arguments match this subscriber's signature.


(963 entries)
Rrhack Notes 11 Dec 2014
Self Destroy Droplet On Completion 07 Dec 2014
Lsn Nimble 04 Dec 2014
OU model in Nimble 03 Dec 2014
Nimble Explore 03 Dec 2014
Coreos Cluster Gotchas 26 Nov 2014
Coreos Docker Registries Etc 24 Nov 2014
Coreos And Other Infrastructure Notes 19 Nov 2014
Wssspe Feedback 17 Nov 2014
Nimble Explore 14 Nov 2014
Draft Wssspe Thoughts 13 Nov 2014
Discrete Grid Notes 13 Nov 2014
linking binaries from other containers 05 Nov 2014
Three Interfaces For Docker 03 Nov 2014
Goodbye Jekyll? 28 Oct 2014
Docker And User Permissions Crazyness 21 Oct 2014
Notes 20 Oct 2014
Gitlab And Other Configuration Notes 16 Oct 2014
Rocker Versioning 14 Oct 2014
Lessons Learned In Writing Dockerfiles 09 Oct 2014
Response To Software Discovery Index Report 08 Oct 2014
Notes 07 Oct 2014
Notes 02 Oct 2014
Notes 24 Sep 2014
Containerizing My Development Environment 22 Sep 2014
Server Backups 09 Sep 2014
Server Security Basics 08 Sep 2014
Thoughts On Harte Interview 05 Sep 2014
Drone Ci And Docker 05 Sep 2014
Reproducible research environments with Docker 25 Aug 2014
Pdg Controlfest Notes 14 Aug 2014
Docker Notes 14 Aug 2014
An appropriate amount of fun with docker? 08 Aug 2014
Too Much Fun With Docker 07 Aug 2014
Notes 06 Aug 2014
Notes 31 Jul 2014
Notes 21 Jul 2014
UPS and data vs optimal control 21 Jul 2014
Notes 18 Jul 2014
Knitcitations Updates 12 Jun 2014
Is statistical software harmful? 04 Jun 2014
Plos Data Sharing Policy Reflections 30 May 2014
packrat and rmarkdown 28 May 2014
Notes 27 May 2014
DIMACS Workshop on Global Change 21 May 2014
Steps To A More Portable Workflow 06 May 2014
why I sign my reviews 04 May 2014
Scientific Computing Notes 02 May 2014
Multiple Uncertainty Notes 02 May 2014
Notes 29 Apr 2014
Notebook Design Notes 24 Apr 2014
Multiple Uncertainty Notes 23 Apr 2014
Notes 18 Apr 2014
Notes 17 Apr 2014
Notes 11 Apr 2014
Multiple Uncertainty Notes 10 Apr 2014
Multiple Uncertainty Notes 09 Apr 2014
Multiple Uncertainty Notes 08 Apr 2014
Notes 07 Apr 2014
Wisconsin Visit 03 Apr 2014
Ropenhack Notes 31 Mar 2014
Review Of Progress On Packages 24 Mar 2014
Software Sustainability Issues In R 20 Mar 2014
Notes 18 Mar 2014
Notes 11 Mar 2014
Notes 10 Mar 2014
Notes 07 Mar 2014
Cran And Package Dependencies 19 Feb 2014
Notes 14 Feb 2014
Scratch Notes While Outlining Talk 10 Feb 2014
Nceas Workflows Day3 07 Feb 2014
Workflows Working Group Day 1 05 Feb 2014
Weekly Review 31 Jan 2014
Notes 31 Jan 2014
Startup Culture And Platforms For The Academy 23 Jan 2014
Asn Conference 15 Jan 2014
Notes 09 Jan 2014
Notes 07 Jan 2014
Notes 06 Jan 2014
Open Science Literature Highlights 02 Jan 2014
Notes 10 Dec 2013
Notes 26 Nov 2013
Notes 19 Nov 2013
Rnexml Metadata Queries 17 Nov 2013
So, you're active on Research Gate? 14 Nov 2013
Notes 14 Nov 2013
Mbi Day Five Notes 08 Nov 2013
Mbi Day Four Notes 07 Nov 2013
Mbi Day Three 06 Nov 2013
Mbi Day Two 05 Nov 2013
Mbi Notes 04 Nov 2013
Rnexml Semantic Considerations 17 Oct 2013
Notes 16 Oct 2013
Is it time to retire Pagel's lambda? 11 Oct 2013
Notes 10 Oct 2013
Notes 09 Oct 2013
Notes 08 Oct 2013
Extending ape::phylo class to NeXML: 07 Oct 2013
Regime Vs State 30 Sep 2013
Notes 23 Sep 2013
Notes 19 Sep 2013
Notes 18 Sep 2013
Notes 16 Sep 2013
Extending Data Frame Class 11 Sep 2013
Isees Workforce Development Day 2 11 Sep 2013
Isees Training Workshop Day 1 10 Sep 2013
Lost Branches 09 Sep 2013
Some Rfishbase Updates 08 Sep 2013
Rnexml Milestone 07 Sep 2013
Nsf Math Bio Postdoc 06 Sep 2013
Whitehouse Open Data Memorandum 05 Sep 2013
Reml Milestone 02 Sep 2013
Notes 29 Aug 2013
Rnexml Coding 28 Aug 2013
Notes 26 Aug 2013
Notes 23 Aug 2013
Isees Day 2 14 Aug 2013
Esa 2013 Notes For Week 08 Aug 2013
F1000-Research publishing for ecologists 07 Aug 2013
Notes 01 Aug 2013
Nonparametric Bayes Wrapping Up Sensitivity 28 Jul 2013
Formal Semantics With Reml 25 Jul 2013
Xml Parsing Strategies 22 Jul 2013
Notes from chat with Duncan 19 Jul 2013
Updates On Managing References 17 Jul 2013
Visit To Whoi 11 Jul 2013
Notes 10 Jul 2013
Forking The R Journal 10 Jul 2013
Reviewing Software Revisited 09 Jul 2013
Reml Update 08 Jul 2013
Starting An Eml Package For R 26 Jun 2013
Notes 24 Jun 2013
Nonparametric Bayes Summary Ideas 20 Jun 2013
Figure For Summarizing Simulations 18 Jun 2013
Notes For Van Noorden Chat 17 Jun 2013
What I look for in 'Software Papers' 13 Jun 2013
Notes 13 Jun 2013
manuscript reviews on github? 10 Jun 2013
Semi Analytic Posteriors 05 Jun 2013
Analytic Marginalizing For Posteriors 04 Jun 2013
DOI != citable 03 Jun 2013
Admb Basic Example 03 Jun 2013
Notebook features: digital archiving 31 May 2013
Archiving the lab notebook on figshare 31 May 2013
Notes 29 May 2013
Notes 28 May 2013
Notes 24 May 2013
Notes 23 May 2013
Notes 22 May 2013
Comforting Trends In Scientific Software Use 21 May 2013
Notes 20 May 2013
Null Distribution Width Minor Puzzle 17 May 2013
Notes 16 May 2013
Notes 14 May 2013
Notes 13 May 2013
Prep for ERE talk 09 May 2013
Notes 07 May 2013
Notebook features: SHA Hashes 03 May 2013
Scholarly Infrastructure Thoughts 02 May 2013
Musings On Conservation Literature 02 May 2013
Integrating Over Posterior Gp 01 May 2013
Bayesian Gp Regression By Metropolis Hastings 01 May 2013
Notebook features: reproducible code 26 Apr 2013
Notebook features: an introduction 26 Apr 2013
Notes 25 Apr 2013
Bayesian Parametric Uncertainty Sdp 19 Apr 2013
Notes 18 Apr 2013
Notes 17 Apr 2013
a few notes on various projects 16 Apr 2013
Notes 15 Apr 2013
Parametric Bayesian Example 12 Apr 2013
Notebook tweaks: APIs in Ruby, Github hosting 10 Apr 2013
A Clever Derivation On Realized Escape Times 05 Apr 2013
Further Examples Managing Tipping Points With Gp 03 Apr 2013
Monday Tuesday 02 Apr 2013
Research 26 Mar 2013
Research 25 Mar 2013
Research 22 Mar 2013
Research 20 Mar 2013
Prosecutor Fallacy As Large Deviations 19 Mar 2013
Collected notes from past few days 19 Mar 2013
Notes 14 Mar 2013
Notes 13 Mar 2013
Notes 12 Mar 2013
Notes From The Week 08 Mar 2013
Delayed Release Archives 02 Mar 2013
Notes 28 Feb 2013
Notes 27 Feb 2013
Semantic Citations For The Notebook And Knitr 22 Feb 2013
Notes 21 Feb 2013
Seminar Notes 20 Feb 2013
Notes 19 Feb 2013
Notes 14 Feb 2013
Notes 13 Feb 2013
Notes 12 Feb 2013
Ews Review Paper Chat 11 Feb 2013
Updates Across Various Projects 04 Feb 2013
Data Uris For Image Archives 24 Jan 2013
Tipping Points Comment In Nature 12 Jan 2013
Haldanes Sieve Guest Post 08 Jan 2013
Learning Jekyll 30 Dec 2012
Notes 27 Dec 2012
Notes 23 Dec 2012
Progress Summary 21 Dec 2012
Results Comparing Gp To Parametric 20 Dec 2012
Exploring Gp Model Space 19 Dec 2012
Random_ews_example 17 Dec 2012
Nonparametric Bayes Comparisons 15 Dec 2012
Nonparametric Bayes Notes 11 Dec 2012
Prior Distributions For Tgp Mcmc 10 Dec 2012
Notes 05 Dec 2012
Tgp Mcmc For Gaussian Processes 04 Dec 2012
Figures 3 And 4 For Policycosts 03 Dec 2012
Note On Notebook Figures 30 Nov 2012
Policy Costs Work 27 Nov 2012
Citing Lab Notebook Entries 23 Nov 2012
Notes 22 Nov 2012
Notes 21 Nov 2012
Sequential Updating 19 Nov 2012
Multiple uncertainty corrected 16 Nov 2012
Notes 15 Nov 2012
Better Tagging Practices 09 Nov 2012
Notes 08 Nov 2012
Notes 06 Nov 2012
Altmetrics Conference 03 Nov 2012
Multiple Uncertainty Corrections 01 Nov 2012
Notes 31 Oct 2012
Notes 29 Oct 2012
Multiple Uncertainty Value Function Iteration 24 Oct 2012
Evolutionary Covariance 24 Oct 2012
Semantic Markup Examples For The Lab Notebook 23 Oct 2012
Gaussian process inference on sample functions 23 Oct 2012
Comparing numerical methods 22 Oct 2012
Notes 19 Oct 2012
Notes 17 Oct 2012
Basic regression in Gaussian processes 17 Oct 2012
Gaussian processes 16 Oct 2012
Semantic Lab Notebook 14 Oct 2012
Data Management Plan 09 Oct 2012
Automated feeds in notebook entries 05 Oct 2012
Solarized Colors with Twitter-Bootstrap? 02 Oct 2012
Multiple Uncertainty 01 Oct 2012
Welcome to my Lab Notebook - Reloaded 28 Sep 2012
Migrating Oww Posts To Jekyll 27 Sep 2012
Prosecutors Fallacy 19 Sep 2012
Migrating From Wordpress To Jekyll 19 Sep 2012
Analytic Solution To Multiple Uncertainty 14 Sep 2012
Notes 12 Sep 2012
Notes 04 Sep 2012
Santa Cruz Postdoc 29 Aug 2012
Notes 23 Aug 2012
Warning Signals In Management 22 Aug 2012
Revisions on Prosecutors Fallacy 22 Aug 2012
Pdg Control Updates 21 Aug 2012
Notes 20 Aug 2012
Esa 2012 Conference 10 Aug 2012
Deviations from S = D 30 Jul 2012
Csgf Conference 27 Jul 2012
Notes 23 Jul 2012
Evolution and iEvobio conference notes 09 Jul 2012
Evolution 2012 Conference, Day 1 08 Jul 2012
Notes 04 Jul 2012
wrightscape / release of constraint 03 Jul 2012
Progress this week, by project 29 Jun 2012
Ievobio Lightning Talk Proposal 24 Jun 2012
Notes 21 Jun 2012
the week so far 19 Jun 2012
Notes 08 Jun 2012
knitcitations 30 May 2012
Exploring Jekyll layout 26 May 2012
Limits to the detection of early warning signals 21 May 2012
notes 18 May 2012
Value of information, cost of bias 16 May 2012
Notes 15 May 2012
notes 14 May 2012
Prosecutor's fallacy notes 12 May 2012
Notes 10 May 2012
Data to Knowledge Day II and other notes 08 May 2012
Data to Knowledge Day 1 07 May 2012
My research workflow, based on Github 06 May 2012
Notes 04 May 2012
Testing out a Jekyll-based notebook 03 May 2012
Notes 03 May 2012
Stochastic policy costs 02 May 2012
Jekyll vs Wordpress 01 May 2012
Additional sources of noise (Sethi 2005) 30 Apr 2012
Project tracking (Evolution) 27 Apr 2012
Project tracking (Ecology) 27 Apr 2012
2012-04-20 26 Apr 2012
Notes 25 Apr 2012
Catching up 19 Apr 2012
Monday / Tuesday 10 Apr 2012
Writing reproducibly in the open with knitr 07 Apr 2012
Friday 06 Apr 2012
Jordan's bigdata talk in Math/Stats series 05 Apr 2012
Monday/Tuesday 03 Apr 2012
Tuesday: pandoc citations notes, various 27 Mar 2012
Active adaptive management solutions: Belief SDP 26 Mar 2012
Citations in markdown using knitr 24 Mar 2012
Robust control & uncertainty - reading notes 22 Mar 2012
Friday: some random notes 20 Mar 2012
Citing R packages 20 Mar 2012
Monday Treebase Manuscript Writing 19 Mar 2012
pdg-control Day 1 goals by training problem 13 Mar 2012
pdg-control, Training Problem 2 update to group 13 Mar 2012
Alex Pfaff seminar, meeting 09 Mar 2012
Tuesday 06 Mar 2012
Monday 05 Mar 2012
Thursday, Friday, Saturday 03 Mar 2012
Warning Signals in Fish Collapse 28 Feb 2012
Knitr with flickr and wordpress 28 Feb 2012
Monday 27 Feb 2012
Visuals for Communicating Uncertainty 24 Feb 2012
ESA 2012 Abstract 23 Feb 2012
Stochastic optimization 22 Feb 2012
Wednesday 22 Feb 2012
finer sampling in prosecutor's fallacy 20 Feb 2012
prosecutor's fallacy initial look 16 Feb 2012
Squiggles 16 Feb 2012
getting signal from autocorrelation 15 Feb 2012
Further examples for appendices 14 Feb 2012
Monday 13 Feb 2012
Sunday 12 Feb 2012
Elegant & fast data manipulation with data.table 12 Feb 2012
Thursday: writing; some latexdiff notes 10 Feb 2012
UC Davis graduate student symposium proposal 08 Feb 2012
Some Collaborative Tools for Science 06 Feb 2012
Thursday 02 Feb 2012
Monday 30 Jan 2012
pdg-control Training Problem II update 24 Jan 2012
Tuesday 24 Jan 2012
Friday (lab group meeting notes) 20 Jan 2012
Is your phylogeny informative? 19 Jan 2012
Wednesday -- meetings 18 Jan 2012
Forage Fish course plan 12 Jan 2012
Resilience seminar course plan 10 Jan 2012
Monday - Sweave workflow 09 Jan 2012
wrightscape examples 04 Jan 2012
Tuesday: pmc package, latex to word attempts 03 Jan 2012
Monday 12 Dec 2011
Friday 09 Dec 2011
Thursday 08 Dec 2011
Optimal control -- costs to policy shifts 07 Dec 2011
Tuesday -- two insights 06 Dec 2011
Monday - wrightscape meetings, PDG meeting 05 Dec 2011
More labrid plots 05 Dec 2011
Release of constraint 04 Dec 2011
Thrusday - corrected calculation, implementing. 01 Dec 2011
Tuesday debugging 29 Nov 2011
Monday: submodels for full traits 28 Nov 2011
Handling other sources of noise 28 Nov 2011
Friday: wrightscape, ggplot, wp memory 25 Nov 2011
Getting the right distributions 23 Nov 2011
Friday 18 Nov 2011
Steve Pacala - Storer lecture 17 Nov 2011
non-optimal outcomes of optimal solutions 13 Nov 2011
Wainwright Retreat to Hastings Reserve 12 Nov 2011
Thursday 10 Nov 2011
Parallel hpc on clusters in R, MPI 10 Nov 2011
SDP solution for allee model 08 Nov 2011
Sunday 06 Nov 2011
Sparkleshare configuration 04 Nov 2011
Friday's reading 04 Nov 2011
Warning signals - noise response 03 Nov 2011
Stochastic Optimal Control 02 Nov 2011
pdg-control Conference Call 01 Nov 2011
Training Problem 2 update 01 Nov 2011
Labrids & Parrotfish, method1 01 Nov 2011
Monday: openfisheries & ggplot 31 Oct 2011
Labrid submodels 26 Oct 2011
Monday, misc notes 26 Oct 2011
Tuesday notes: package work mostly. 25 Oct 2011
Treebase Package On Cran 25 Oct 2011
Friday: Optimal Control 21 Oct 2011
Optimal Control Exploration 19 Oct 2011
Algorithms Group: Literate programming 17 Oct 2011
Rewrites 17 Oct 2011
Friday, more runs 17 Oct 2011
Thursday, Fisheries course 13 Oct 2011
Wednesday 12 Oct 2011
rfishbase Tutorial - updated & extended 12 Oct 2011
Loo Botsford, CPB seminar 11 Oct 2011
Algorithms Group, HMM meets EM 10 Oct 2011
Matt Helmus visit 07 Oct 2011
Wednesday - forage fish & cascades 05 Oct 2011
Tuesday 04 Oct 2011
Friday, wordpress backups, pmc edits 30 Sep 2011
Thursday 29 Sep 2011
Phylogenetics - Research Proposal 29 Sep 2011
Wednesday - Berkeley visits 28 Sep 2011
Tuesday - Berkeley visits 27 Sep 2011
Monday 26 Sep 2011
Saturday 24 Sep 2011
Friday: ropensci, manuscript edits 23 Sep 2011
Thursday 22 Sep 2011
Wednesday 21 Sep 2011
Colored noise: some classic results in ecology 21 Sep 2011
Tuesday: Visit to Berkeley 21 Sep 2011
Monday 19 Sep 2011
pdg-control pdg-control: Thursday 15 Sep 2011
pdg-control PDG group, Tasks 15 Sep 2011
Training Problem II 14 Sep 2011
pdg-control pdg-control: Wednesday 14 Sep 2011
pdg-control pdg-control, Tuesday 13 Sep 2011
Pretty Darn Good Control Working Group 12 Sep 2011
Likelihood expressions for branching processes 10 Sep 2011
discriminating early bursts 08 Sep 2011
memory management, cron 07 Sep 2011
Wednesday 07 Sep 2011
Thursday Reading 01 Sep 2011
Wednesday 31 Aug 2011
Tuesday 30 Aug 2011
Algorithms group: Hidden Markov Models 29 Aug 2011
Monday: scaling wrightscape examples 29 Aug 2011
Sunday: scaling, runs 28 Aug 2011
rropensci and some taxonomy in R with taxize 26 Aug 2011
FishBASE from R: some XML parsing 26 Aug 2011
DataCite Day 2 25 Aug 2011
DataCite Day 1 24 Aug 2011
Tuesday: rropensci, Rmpi, manuscripts, ... 23 Aug 2011
Academic Year 2011 Summary 21 Aug 2011
Thursday: reviewing edits, ropensci, computers. 18 Aug 2011
Wednesday: migrating codes into MPI 17 Aug 2011
Wrightscape: a brief tutorial 17 Aug 2011
Tuesday: 16 Aug 2011
ESA personal notes: people, goals 13 Aug 2011
Saturday: Post ESA, NSF Intersections post-doc? 13 Aug 2011
ESA Friday 12 Aug 2011
ESA Thursday 11 Aug 2011
ESA Wednesday 10 Aug 2011
ESA Tuesday 09 Aug 2011
Monday: ESA Conference 08 Aug 2011
Fisheries stock assessments for early warning 02 Aug 2011
Monday 02 Aug 2011
Saturday: Fisheries Data Survey, Warning Signals 30 Jul 2011
Friday: ESA Practice Talk 29 Jul 2011
Weds: Manuscript 27 Jul 2011
Tues: ESA presentation 26 Jul 2011
Monday: ESA, appendix, etc 25 Jul 2011
Monday: Algorithms Discussion Group, EM finished 25 Jul 2011
Sunday: Appendix edits 24 Jul 2011
CSGF Conference Notes 24 Jul 2011
CSGF 2010 Computing Practices Survey Summary 24 Jul 2011
Sunday: Warning Signals 17 Jul 2011
Saturday - back to Warning Signals MS 17 Jul 2011
The Case for Better Data Citation Practices? 14 Jul 2011
141 scientists can't be wrong? 08 Jul 2011
Friday: writing post-doc applications 08 Jul 2011
Early warning signals presentation notes 07 Jul 2011
Exact Simulation by the Gillespie Algorithm 06 Jul 2011
Wednesday: Data wrangling into graphs 06 Jul 2011
Tuesday: Warning Signals Data Wrangling 05 Jul 2011
Open F1000 reviews? 04 Jul 2011
Friday, warning signals writing, etc 01 Jul 2011
Warning Signals writing 29 Jun 2011
Monday: Warning Signals Manuscript 27 Jun 2011
#ievobio Day 2 22 Jun 2011
Evolution Day 4 / #ievobio Day 1 21 Jun 2011
Evolution Day 3 20 Jun 2011
Slides from my talk at Evolution 2011 20 Jun 2011
Evolution Day 2 19 Jun 2011
Evolution Conference Day 1 18 Jun 2011
Wednesday MCMC and MLEs for wrightscape 15 Jun 2011
Tuesday - Evolution/wrightscape talk & sundry 14 Jun 2011
EM Algorithm 13 Jun 2011
Monday - 13 Jun 2011
Sunday 12 Jun 2011
Friday 10 Jun 2011
Workflows that Work: making it "easy enough" 10 Jun 2011
Parrotfish in wrightscape 06 Jun 2011
Sunday -- warning signals manuscript (mostly) 05 Jun 2011
Friday 03 Jun 2011
Thursday: Warning Signals 02 Jun 2011
Monday 30 May 2011
Sunday 29 May 2011
Site configuration: file sharing notes 28 May 2011
Thursday Meetings: Duncan; Alan 26 May 2011
Wednesday 25 May 2011
Tuesday 24 May 2011
Sunday 22 May 2011
End of NCEAS & the legacy of synthetic data 22 May 2011
Algorithms group: MCMCMC 19 May 2011
Thursday 19 May 2011
Birth-death Tutorial for PBG Core 18 May 2011
TreeBASE in R: a first tutorial 16 May 2011
MathJax the smart way: Child Themes 16 May 2011
Thursday: Fun with databases continued 12 May 2011
Wednesday: Treebase 11 May 2011
Monday: meetings, notebook 09 May 2011
Sunday: a few Treebase R package updates 08 May 2011
Building a semantic notebook 08 May 2011
Reproducible Research, Large data sets, and SI2 06 May 2011
Mendeley API in R 06 May 2011
Thursday: parrotfish analysis 05 May 2011
Weds: Parrotfish data set analysis 04 May 2011
Algorithms Discussion Group: MCMC 04 May 2011
Tuesday: phylogenetics- wrightscape coding 03 May 2011
treeBASE R interface: proposal for #iEvoBio 03 May 2011
Monday 03 May 2011
Wednesday 27 Apr 2011
Accessing phylognenies in TreeBASE from R 26 Apr 2011
TreeBASE interface continued... 25 Apr 2011
wrightscape profiling 24 Apr 2011
Release of constraint in labrids? 22 Apr 2011
Wednesday 20 Apr 2011
Tuesday: Reading and thoughts 19 Apr 2011
Thursday: submitting warning signals manuscript 18 Apr 2011
TreePar: changing rates of evolution 17 Apr 2011
Friday 16 Apr 2011
Weds: Final round edits 13 Apr 2011
Tuesday: manuscript and appendix edits 12 Apr 2011
Monday: Warning Signals - Updated graphs 11 Apr 2011
Monday: algorithms Meeting 11 Apr 2011
Sunday: Warning signals edits continue 11 Apr 2011
Warning signals 08 Apr 2011
Some reproducible research practices in journals 08 Apr 2011
Steve Ellner's seminar 07 Apr 2011
Warning Signals - Manuscript touch-ups 06 Apr 2011
Comparative methods paper status/to-do 06 Apr 2011
Updates to socialR package 05 Apr 2011
evolution manuscript revisions 04 Apr 2011
Thursday finishing up appendices(?) 01 Apr 2011
A few large data problems in Ecology & Evolution 31 Mar 2011
Wednesday: appendices; parameter distributions 30 Mar 2011
Tuesday, simulations & appendix 29 Mar 2011
Monday, appendices continue... 29 Mar 2011
Sunday -- edits and appendices 27 Mar 2011
Saturday-- Appendices 26 Mar 2011
Friday 25 Mar 2011
Thursday 24 Mar 2011
Wednesday 23 Mar 2011
Tuesday: Figures, figures, figures 23 Mar 2011
Monday -- Edits and organization 22 Mar 2011
Sunday - manuscript and simulations 21 Mar 2011
Challenges with Collaboration in Open Science 21 Mar 2011
Writing: Warning Signals Mansucript 20 Mar 2011
Warning Signals examples and tracking graphs 19 Mar 2011
Sam's Practice talk 18 Mar 2011
Wednesday 16 Mar 2011
Tuesday 15 Mar 2011
Peter's talk 14 Mar 2011
Warning Signals, Monday 14 Mar 2011
Warning Signals data examples 09 Mar 2011
Warning Signals on Real data continued 28 Feb 2011
Warning Signals on Real Data? 27 Feb 2011
Phylo: Luke Harmon 25 Feb 2011
Friday 18 Feb 2011
Thursday 17 Feb 2011
Weds & Framing warning signals manuscript 16 Feb 2011
Citation tools & Future of Publishing 16 Feb 2011
Data Mangement on UC3 Merritt Repository 16 Feb 2011
Tuesday 15 Feb 2011
Monday 14 Feb 2011
Thursday 10 Feb 2011
Phylogenetic Monte Carlo for the Laser package 09 Feb 2011
Why ONS? From a discussion with friends 08 Feb 2011
Warning signals & hpc 04 Feb 2011
Progress on warning signals 03 Feb 2011
To podcast or not to podcast university lectures 01 Feb 2011
Phylogenetic Signal metrics 28 Jan 2011
Warning signals vs model choice 27 Jan 2011
McElreath: A Bayesian approach to hierarchical modeling, using R to build our own estimator from scratch 26 Jan 2011
McElreath Hierarchical Models 24 Jan 2011
Felsenstein (web) seminar 24 Jan 2011
evolution- wrightscape 11 Jan 2011
Warning Signals, Power and Sufficient Statistics 10 Jan 2011
Phylo Monte Carlo for diversification rates 09 Jan 2011
Two routes to adaptive branching 06 Jan 2011
Finishing up my #SICB Presentation 02 Jan 2011
Comparative evolution: Is the data informative? 31 Dec 2010
Stochastic limits to evolutionary branching 30 Dec 2010
Open Notebook Science Abstract 30 Dec 2010
adaptive-dynamics Simulations 29 Dec 2010
DoE renewal and a year in review 24 Dec 2010
Writing, Cloud Computing, and #scio11 23 Dec 2010
Sun: Visualizing my coding over the past year 20 Dec 2010
Thurs: writing section on comparing to AIC 16 Dec 2010
Weds: Example sets & more EC2 15 Dec 2010
Tues: evolution thoughts while writing... 14 Dec 2010
Back to Writing 13 Dec 2010
Citations 11 Dec 2010
Warning signals manuscript 10 Dec 2010
Exploring Power in Warning Signals 09 Dec 2010
Practice SICB Presentation 08 Dec 2010
Identifying Warning Signals 04 Dec 2010
CPB : David Collar 01 Dec 2010
Further treatment of the limiting models 29 Nov 2010
Challenges in estimating phylogenetic signal 29 Nov 2010
Likelihoods for quadratic models cont 28 Nov 2010
Implementing Likelihoods for quadratic models 27 Nov 2010
Tweets from an Ecology Field class 25 Nov 2010
Warning signals: Likelihoods Straight-up 24 Nov 2010
Power in simple tests 22 Nov 2010
Two questions 21 Nov 2010
Making R twitter? 21 Nov 2010
Fri: extending Geiger to Monte Carlo method 19 Nov 2010
Thurs: evolution likelihood 18 Nov 2010
Weds 18 Nov 2010
Tues seminar 16 Nov 2010
evolution today: Discussion groups, writing, etc 15 Nov 2010
evolution statistics 11 Nov 2010
Tuesday - SDEs then back to phylogenetics 10 Nov 2010
Monday and some phylogenetics 08 Nov 2010
Welcome to my Lab Notebook 08 Nov 2010
Friday: Evolution reading, writing 05 Nov 2010
Thursday 05 Nov 2010
Reviews, organization, rewrites 03 Nov 2010
A new twist on the approach 28 Oct 2010
Red Noise (aside exercise) 28 Oct 2010
Warning Signals -- Where are we now? 27 Oct 2010
Correcting for the mean dynamics 26 Oct 2010
Warning Signals 2 21 Oct 2010
Spatial Warning Signals, power, etc 21 Oct 2010
ecology Abstract 20 Oct 2010
Adaptive Dynamics Abstract 20 Oct 2010
Warning Signals 19 Oct 2010
Teaching 18 Oct 2010
Status update 15 Oct 2010
Writing continues 14 Oct 2010
Wednesday 13 Oct 2010
a day of writing 12 Oct 2010
Still writing 11 Oct 2010
LR Manuscript 05 Oct 2010
Monday 04 Oct 2010
Likelihood Ratio Paper 03 Oct 2010
Thursday 30 Sep 2010
Adaptive Dynamics Updates 30 Sep 2010
Writing 15 Sep 2010
Writing 14 Sep 2010
Power plots 14 Sep 2010
Peter meeting 13 Sep 2010
Meeting with Alan 10 Sep 2010
Lab Notebooks 07 Sep 2010
Meeting with Sam 07 Sep 2010
evolution Research Abstract 04 Sep 2010
Entry title 01 Sep 2010
Tuesday 31 Aug 2010
Summer Review 30 Aug 2010
Adaptive Dynamics 30 Aug 2010
Likelihood ratio ToDo 27 Aug 2010
Likelihood Ratio Paper- Power in Trees 26 Aug 2010
Likelihood Ratio Manuscript 25 Aug 2010
Writing 19 Aug 2010
Entry title 19 Aug 2010
Warning Signals -- still in code development 18 Aug 2010
Warning Signals 17 Aug 2010
Warning Signals 16 Aug 2010
Warning Signals 15 Aug 2010
Adaptive Dynamics 13 Aug 2010
Warning Signals 12 Aug 2010
Adaptive Dynamics 12 Aug 2010
Adaptive Dynamics 11 Aug 2010
Warning Signals 10 Aug 2010
Likelihood ratio update 10 Aug 2010
Warning Signals by model choice 09 Aug 2010
Warning Signals 08 Aug 2010
Reading 07 Aug 2010
Batch Data 05 Aug 2010
Data Format functions 04 Aug 2010
Writing 03 Aug 2010
Open Science Summit Day 3 31 Jul 2010
Open Science Summit day 2 30 Jul 2010
Open Science Summit 29 Jul 2010
Cetartiodactyle data 28 Jul 2010
Parameter Estimates for Labrid-Parrotfish model 27 Jul 2010
Parrotfish Model choice 26 Jul 2010
Writing 23 Jul 2010
Writing 22 Jul 2010
Writing 21 Jul 2010
Writing 20 Jul 2010
Wainwright Meeting 19 Jul 2010
Parrotfish-Wrasse example 15 Jul 2010
Organizing analyses, data, codes 14 Jul 2010
Bootstrapping the independent alpha-sigma models 13 Jul 2010
Multivariate normal random variables 12 Jul 2010
Status - Thoughts 09 Jul 2010
Evolutionary Regime Shift examples 08 Jul 2010
Multitype OU process interfaces 07 Jul 2010
Ensemble simulations of beetle dynamics 07 Jul 2010
iEvoBio day two 30 Jun 2010
iEvoBio day one 29 Jun 2010
Evolution 2010 Day 3 28 Jun 2010
Evolution 2010 Day 2 27 Jun 2010
Evolution 2010 26 Jun 2010
CSGF Conference Thursday 24 Jun 2010
CSGF Conference Day 2 23 Jun 2010
CSGF Conference- Tuesday 22 Jun 2010
CSGF Conference- HPC Workshop 21 Jun 2010
Wainwright Lab Meeting 16 Jun 2010
Questions 10 Jun 2010
Graham & Peter Meeting 09 Jun 2010
Making slides for Evolution meeting 08 Jun 2010
Implementing the new approach 06 Jun 2010
Likelihood Calculation 05 Jun 2010
Comparative Phylogenetics Talk 04 Jun 2010
Entry title 03 Jun 2010
Actually starting at Arkin Lab 02 Jun 2010
Gamma Waiting times on individual level 01 Jun 2010
CSGF Survey 31 May 2010
Conference call w- Bob and Brett 28 May 2010
Summary of Structured Population noise so far 27 May 2010
Rethinking Beetles Noise 26 May 2010
Bug fixed! 25 May 2010
Status on Structured Populations 24 May 2010
Puzzled over the two-step jump process results 21 May 2010
Beetle dynamics exploration & adjustments 20 May 2010
Noisy Beetles 19 May 2010
Noisy beetles 18 May 2010
Annual Progress Report 17 May 2010
General matrix form and correcting equations 16 May 2010
Large Intrinsic Noise 15 May 2010
Structured Population Dynamics 14 May 2010
Beetles workshop Day 2 13 May 2010
Adaptive Dynamics 13 May 2010
Roi and Sam Comparative Phylogenetics R Workshop 12 May 2010
Hastings Beetle Workshop 12 May 2010
Peter Meeting 11 May 2010
Demographic Noise 11 May 2010
Alan Meeting 10 May 2010
Warning Signals with SDEs 09 May 2010
Likelihood calculation 07 May 2010
Goals 06 May 2010
Wednesday 05 May 2010
Primates 05 May 2010
Alan Meeting 04 May 2010
Adaptive Dynamics 04 May 2010
Adaptive Dynamics 03 May 2010
Phase1 01 May 2010
Coexistence Of The Early Dimorphism 01 May 2010
Adaptive Dynamics 30 Apr 2010
Adaptive Dynamics 29 Apr 2010
Meetings 28 Apr 2010
iEvoBio lightning talk 27 Apr 2010
Teaching 26 Apr 2010
Adaptive Dynamics 26 Apr 2010
Adaptive Dynamics 23 Apr 2010
Adaptive Dynamics 22 Apr 2010
Adaptive Dynamics 21 Apr 2010
Waiting Time 20 Apr 2010
R-sig-phylo 20 Apr 2010
Alan Meeting 20 Apr 2010
Research 19 Apr 2010
MATICCE 18 Apr 2010
iEvoBio Submission 16 Apr 2010
Branching Paper 15 Apr 2010
Wednesday 14 Apr 2010
Tuesday 13 Apr 2010
Teaching 13 Apr 2010
Teaching 12 Apr 2010
Primate chronogram 12 Apr 2010
Effective warning signals 11 Apr 2010
Research 09 Apr 2010
Research 08 Apr 2010
Comparative Phylogenetics Notebook 08 Apr 2010
Research 07 Apr 2010
Towards a meaningful warning signal metric 06 Apr 2010
Research 06 Apr 2010
Research 05 Apr 2010
Research 04 Apr 2010
Warning Signals Research 03 Apr 2010
Warning Signals 02 Apr 2010
Research 02 Apr 2010
Research 01 Apr 2010
Research 31 Mar 2010
Comparative Phylogenetics Notebook 31 Mar 2010
Research 30 Mar 2010
Still puzzling on LR 26 Mar 2010
Research 25 Mar 2010
Entry title 25 Mar 2010
Parallel R 24 Mar 2010
Bootstrapping Likelihood ratios 23 Mar 2010
Phylogenetic Tree formats 22 Mar 2010
Research 20 Mar 2010
Research 19 Mar 2010
Research 18 Mar 2010
Research 17 Mar 2010
Graham & Peter Meeting 16 Mar 2010
Computing 15 Mar 2010
Post-Workshop 14 Mar 2010
Bodega Workshop Presentations 12 Mar 2010
Phylogenetics Workshop Day 5 11 Mar 2010
Bodega Workshop Day 4 10 Mar 2010
Bodega Phylogenetics Workshop Day 3 09 Mar 2010
Bodega Phylogenetics Workshop Day 2 08 Mar 2010
Bodega Phylogenetics Workshop Day 1 07 Mar 2010
Meeting 05 Mar 2010
Friday 05 Mar 2010
Big Picture Comparative Phylogenetics 04 Mar 2010
Solution to the strange behavior in ouch 03 Mar 2010
Power in trees 02 Mar 2010
Teaching 01 Mar 2010
Parallel at last 01 Mar 2010
Parallelizing Code 28 Feb 2010
Friday 26 Feb 2010
Thursday 25 Feb 2010
Derin And Alan Meeting 24 Feb 2010
Comparing to Analytic Dynamics 23 Feb 2010
Teaching 22 Feb 2010
Monday 22 Feb 2010
Teaching 19 Feb 2010
Power in trees continues 19 Feb 2010
Power in Trees 18 Feb 2010
Meeting Goals 17 Feb 2010
Hastings Meeting 17 Feb 2010
Updating manuscript 16 Feb 2010
Parametric bootstrapping 15 Feb 2010
Implementing warning signals metrics 15 Feb 2010
Speciation 14 Feb 2010
Teaching 11 Feb 2010
Meeting w- Alan 10 Feb 2010
Follow-up on Parametric Bootstrapping 10 Feb 2010
Meeting with Graham and Peter 09 Feb 2010
Code Development for Exploring Regimes Shifts 09 Feb 2010
Updates to Code 08 Feb 2010
Exploring Difficulties with Existing Methods 07 Feb 2010
Lunch with Wainwright Lab 05 Feb 2010
Teaching 04 Feb 2010
Hastings Meeting 03 Feb 2010
The Lab Notebook Goes Open 02 Feb 2010
Teaching 25 Jan 2010
Progresschallenges 18 Jan 2010
CPB thesis proposal 10 Jan 2010
Stochastic Methods 25 Aug 2009
Drift Effects 25 Aug 2009
Diffusion Solution 25 Aug 2009
Branching Times 28 Jul 2009
Popbio Core Review Notes 09 Jun 2008


Mercury Transit takes place tomorrow - how to see rare event as the planet crosses the Sun
The Mercury Transit takes places just 13 times a century, when Mercury passes directly between Earth and the Sun. The next Mercury Transit won’t happen until 2032, so it’s an event you don’t want to miss!
by Shivali Best, https://www.facebook.com/shivalibestjournalist/If you’re a fan of sky-gazing, make sure you mark tomorrow off in your diary as there’s an extremely rare astronomical event lined up.
Tomorrow, Mercury will cross the sun, in an event known as the Mercury Transit.
The event takes places just 13 times a century, when Mercury passes directly between Earth and the Sun. The next Mercury Transit won’t happen until 2032, so it’s an event you don’t want to miss!
Mitzi Adams, a solar scientist at NASA, said: “Viewing transits and eclipses provide opportunities to engage the public, to encourage one and all to experience the wonders of the universe and to appreciate how precisely science and mathematics can predict celestial events.
“Of course, safely viewing the Sun is one of my favourite things to do.”
How to see the Mercury Transit
The Mercury Transit will be visible from most of Earth, including the UK.
If you’re based in the UK, the event will begin at around 12:35 GMT. However, Mercury will pass over the sun from 12:37-18:02, so look to the Sun any time between then.
However, Mercury’s tiny black disk will only cover a tiny fraction of the sun during the transit - only 1,283 of the Sun’s diameter!
Sadly, that means it’s pretty unlikely to be visible with the naked eyes. Instead, NASA recommends you use a telescope with at least 50x magnification.
It’s also very important that you use a solar filter when viewing the transit.
NASA explained: “Never look at the Sun directly or through a telescope without proper protection. It can lead to serious and permanent vision damage. Always use a safe Sun filter to protect your eyes!”
Is the Mercury Transit useful to scientists?
Scientists have been using transits for hundreds of years to study the way planets and stars move in space.
For example, back in 1761 and 1769, Edmund Halley used a Venus Transit to work out the absolute distance to the Sun!
NASA added: “Another use of transits is the dimming of Sun or star light as a planet crosses in front of it.
“This technique is one way planets circling other stars can be found. Scientists can measure brightness dips from these other stars (or from the Sun) to calculate sizes of planets, how far away the planets are from their stars, and even get hints of what they’re made of.”


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What is Html?
Hypertext Mark-up Language or HTML, as it’s more commonly referred to as, is the standardized language responsible for display this and every other web page on the World Wide Web (WWW). It gives the initial layout to the page and describes the content on the web page...
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ClimateAction.tech
Technology professionals using our skills, tools, and influence amplify the Climate Movement.
Technology professionals from various companies — such as Google, Facebook, Tumblr, Etsy, Github, SoundCloud, Lyft and many more — are coming together under the banner of ClimateAction.Tech to find ways to accelerate solutions for climate problems.
As technology professionals, we understand the potential of innovation and technology; every day we build and work with tools that positively impact people’s lives. Our goal is to offer our skills to organizations and individuals who are making the most impact in combating climate denial and climate change
A growing contingent of tech workers started a grassroots effort to fight the Trump administration’s anti-environment policies.
Read The StoryWorkers from big-name tech companies and small startups are joining the People's Climate March later this month in Washington, D.C.
Read The Story


MAMAMOO introduces their alternate realities in special teaser for 'reality in BLACK' comeback
by danisurstMAMAMOO has dropped another teaser for their latest comeback!
On November 11 KST, the group revealed a special teaser that imagines the type of women the members would be in alternate dimensions where there is no MAMAMOO. In the image, Solar assumes the roles of a princess, a boxer, and a rockstar, Moon Byul is a music video editor, choreographer, and an entertainment CEO, Whee In is an environmentalist, a painter, and an indie artist, and Hwa Sa is a mother, a musical actor, and a president.
The image teases the concept of 'reality in BLACK's title track "1st Universe." The album is set for release on November 14 at 6 PM KST.
Check out the teaser below!


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In this sprint i got stuck trying to hard code a function when i could be using the in-built method. i realised this was a real simple problem and i was overcomplicating it so i googled the in-built method and just used that. i felt real stupid because this real simple task was taking so long. i learn't that the simplest solution is usually the best.
I made a form on my webpage where you can enter your email and leave a message and to make it functional i would have had to hardcode the backend for it to work but instead i used a service called formspree to do it automatically. I felt very resourseful. i learn't that if you've thought of something somebody has probably coded it.
In general i can solve problems pretty well, if i get stuck i usually try something or google it if that is not enough i look at the error message and try to figure out what i'm doing wrong , then i console.log it, then i get to the point where its a real problem and i have to write out the steps and subdivide it or talk my way through the problem and if i still dont get it i will ask for help, when the problems solved i then reflect on it