sigma.js was especially created for plotting complicated netywork graphs, with which the user can smoothly interact without blocking his browser. Here are some key features of "sigma.js":
· Chainable methods
· Custom events management
· Possibility to add plugins (GEXF parser, ForceAtlas2 layout algorithm)
· Simple and accessible public API
· Customisable drawing / graph management
· Frame insertion, to make the drawing process fluid
Generate a pseudo-random vector X of size n, X is drawn from the truncated Gaussian distribution in a RANGE braket and satisfies std(X)=sigma.If input...
Gaussian Curve Fit
[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...
Laplacian Random Number Generator
function y = laprnd(m, n, mu, sigma)LAPRND generate i.i.d. laplacian random number drawn from laplacian distribution with mean mu and standard de...
Generate Ar1 Spatial Data
This script generates artificial spatial data using a first order spatial autoregressive process (AR1)The process isX(i,j) = PHI*(X(i,j-1) X(i,j 1) X(...
This function computes the Q function by integrating the Normal distribution. It takes one paramter and calculates the right tail probablity. Ex. x=q(...
Multivariate Gaussian Distribution
Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might...
Given nonnegative integers k and n, sigma(k,n) is the sum of the kth powers of the divisors of n. When k=0, this is just the number of divisors of n.N...
This function computes Spherical Error Probable radius from inputs consisting of the square roots of the eigenvalues of a covariance matrix (equivalen...
Visual Linb 1.10
Visual Linb is an Ajax components library for building zero footprint Ajax browser applications that feel like desktop GUI applications. It contains t...
Sigma Visual Ajax Gui Builder
This toolbox includes a complete set of blocks implemented in the Simulink environment, which allows designers to perform time-domain behavioral simul...
Gaussian Random Samples Generation
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...
Multivariate Lognormal Simulation With Correlation
MVLOGNRAND MultiVariate Lognormal random numbers with correlation.This function will generate multivariate lognormal random numbers with correlation.O...
Double Fourier Series Surface Plotting
The output figures will show effects of the number of series terms and use of the Lanczos sigma factors to smooth the Gibbs oscillations. Requirements...
Dispersion Relationship For Water Waves
Using the function, the user will get the value of L (wavelength), k (wave number), sigma(angular frequency), using different algorithms for the dispe...
Fast Gaussian Filtering
A recursive implementation of the Gaussian filter. This implementation yields an infinite impulse response filter that has 6 MADDs per dimension indep...
Adaptive Line Enhancemment Application
function [ALEstruct]=ale(f,fs,munoise,sigmanise,mulms,ncoef,dur)function to perform adaptive line enhancement using LMS algorithm and an adaptive FIR ...
Quartile & Percentile Calculation
Included in the first line of the script is a sample data set. The script will compute basic statistics on this data set:mean1-sigma (standard deviati...
Sigma Grid 2.4
All major browsers are supported including IE 6.0+, FireFox 2.0+, Safari 3.0+ and Opera9.0+ Here are some key features of "Sigma Grid":· CSS base...
One Dimensional Finite Difference Time Domain
function Ex_obs = FDTD_1D(Ex,dx,dt,srcIndex,srcJx,pf,nSteps,e_r,mu_r,sigma,sigma_m,k_obs)This function performs one-dimensional (Cartesian) finite-dif...