Mu Minimise

Chewdoku chewdoku sudoku Sudoku solve make generate compile hardest easy difficulty simple advanced very numbers download free game puzzle methods challenge solutions symmetry unique answers save print blank grid possibles calculate squares rows columns blocks lines most Super X gives hints xwing...

Personal Progress File (PPF) is designed to assist in the creation, maintenance and printing of portfolios for the United Kingdom's National Record of Achievement. It isupremely easy to use, having been designed for use by complete computer novices. It isn't even necessary for users to save their...

AtomineerUtils Documentation Addin for Visual Studio 2010/2008/2005 auto-generates (and updates) Documentation Xml, Doxygen or JavaDoc comments for C, C++, C++/CLI, C#, Java and VisualBasic code elements, using naming of items to derive automatic documentation, and applies optional formatting and...


Platforms: Windows

A Decent MU* Client for Linux & BSD systems. Eventually, I hope to match the features found in popular Windows MU* clients.


Platforms: Mac, BSD, Linux

GatewayMU* is the result of a combination of what several of my friends and myself desire of a MUCK/MUD/MUSH/MU* client, a fully customizable integrated development environment with MUF and MPI support by default, and many wizards.


Platforms: Windows, Mac, BSD, Linux

Yet another human-readable plaintext music notation language. Somewhat similar to ABC and also Guido.Empty lines divide blocks of music, and every line is for one voice. Blocks can be repeated and merged to simplify structured composing.


Platforms: Windows, Mac, Linux

This is part of the RePublish toolset for WordPress MU.InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Key features "One Click Republish": - Ajax powered. - Localization ready Requirements: - WordPress MU


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

On WP-MU installations it allows for every blog to have its own robots.txt file.InstallationUnpack and upload it to the /wp-content/plugins/ directory.Activate the plugin through the 'Plugins' menu in WordPress. Requirements: - WordPress 2.0 up to 2.5


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

[MU, SIGMA, D] = TRUNCLOGNORMEST(DATA) returns the estimated parameters of the lognormal distribution, with unknown left truncation, using the sample data of percent of observations greater than observed quantities.DATA is assumed to be nx2 where the first column is a set of known values, and the...


Platforms: Matlab

This Program Performs the following:(1) Animates the movement of a Billiard Ball on a table that has a surface friction (mu) and coefficient of restitution (e) for the sides and saves it as an AVI file.(2) Outputs series of rows and columns that displays the stream data of (Time),(X),(Y),(V), and...


Platforms: Matlab

This book collects results from four years of work with H/Mu-Synthesis in the area of robust control.For a full book description and ordering details please refer to http://www.mathworks.com/support/books/book1304.jsp


Platforms: Matlab

Mu-Tools based Multivariable System IdentificationThe Musysid folder contains some useful tools for :- black box MIMO system identification- state space system fitting from a given frequency response- converting frequency response data between the MU-TOOLS Toolbox and the SYSTEM IDENTIFICATION...


Platforms: Matlab

[G GWINLEN] = genGaborKernelF( MU,NU,sigma,scaleXY,imgSz )GIMG = GABORCONV(IMG,G,GWINLEN)Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.


Platforms: Matlab

This function implements approximately median unbiased (MU) estimation of the AR(p) model following Andrews, D.W.K and H.-Y. Chen (1994), "Approximately Median-Unbiased Estimation of Autoregressive Models," Journal of Business & Economic Statistics, 12(2), 187-204.No toolboxes are required.


Platforms: Matlab

DigitFD generates random sample from the fiducial distribution of the parameters mu and sigma [of the unobservable normal distribution], based on the (digitized) measurements from instrument with limited, however known resolution. Here,measurements = round( (mu + sigma * Z)/resolution ) *...


Platforms: Matlab

function y = laprnd(m, n, mu, sigma)%LAPRND generate i.i.d. laplacian random number drawn from laplacian distribution% with mean mu and standard deviation sigma.% mu : mean% sigma : standard deviation% [m, n] : the dimension of y.% Default mu = 0, sigma = 1.% For more information, refer to%...


Platforms: Matlab

[sigma,mu,A]=mygaussfit(x,y)[sigma,mu,A]=mygaussfit(x,y,h)this function is doing fit to the functiony=A * exp( -(x-mu)^2 / (2*sigma^2) )the fitting is been done by a polyfitthe lan of the data.h is the threshold which is the fractionfrom the maximum y height that the datais been taken from.h...


Platforms: Matlab

Evaluate integrals of this form:-inf int +inf f(x)exp(-(x-mu)/2sigma^2)where f(x) is a smooth function.


Platforms: Matlab

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around. cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example:...


Platforms: Matlab

Using the Cholesky decomposition, it generates n iterations of multivariate Gaussian random variables for a given mean vector (mu) and variance-covariance matrix (sigma).mvgrnd(mu,sigma,n)


Platforms: Matlab