Point cloud normal vector by Jered Wells

NORMND computes the vector normal to points in an N-D point cloud (eigenvector, eigenvalue, normal)

normnd(data,varargin)

Truncated multivariate normal by Tim Benham

Generates pseudo-random vectors drawn from the truncated multivariate normal distribution. (random, distribution, gaussian)

TruncatedGaussian(sigma, range, varargin)

rmvnrnd(mu,sigma,N,A,b,rhoThr,debug)

rmvnrnd_eg.m

Fit distributions to censored data by Leonidas Bantis

Fits distributions to data when left and/or right and/or interval censoring is present (censoring, left censoring, lognormal)

evfitc.m

expfitc.m

gamfitc.m

Plane Fitting and Normal Calculation by Dan Couture

Given a set of x,y,z coordinates, find the best planar fit. (fit, plane, normal)

fitNormal(data, show_graph)

t_fitNormal()

Distributions by Alexios Fourlis

This Gui is a simple way to display some useful distributions. (distribution, normal, poisson)

RnG(varargin)

SNG_task1(varargin)

exponential(varargin)

Gaussian-normally distributed random data by Nassim Khaled

it helps the user generate a normally distributed random set of data and then fit a Gaussian curve (random, normrdn, normal)

[mu,s,n,Data]=normrnd_normfit(MU,SIGMA,Length_Data,nb_bins)

2D Line Curvature and Normals by Dirk-Jan Kroon

Accurate Curvature and Normals of a line/contour consisting of 2D points (curvature, curves, vertices)

N=LineNormals2D(Vertices,Lines)

k=LineCurvature2D(Vertices,Lines)

Compute STL Vertex Normals by Francis Esmonde-White

Find the per-vertex normals for a tesselated surface. (stl, normal, vertex normal)

[vn]=STLVertexNormals(f, v, fn)

rand_extended computes a random number in the interval [a,b] by Nassim Khaled

rand_extended computes a random number in the interval [a,b] (random, rand, normal)

M=rand_extended(a,b,n,m)

Truncated Gaussian by Bruno Luong

Generate a pseudo-random vector X drawn from the truncated Gaussian distribution (gaussian, normal, truncated)

TruncatedGaussian(sigma, range, varargin)

Shock Properties by Jared Miller

The program interpolates Normal Shock Properties from a given table of properties. (shock, aerodynamics, properties)

ShockProp(xi,prop1,prop2)

initialize normal random number generator by Phillip M. Feldman

sets the state for Matlab's normal (Gaussian) random number generator (random, random numbers, random number generat...)

initrandn(seed)

myfrenet by Mehmet OZTURK

Construct tangent, normal and binormal vectors of a curve (tangent, normal, binormal)

[T N B]=myfrenet(x,y,z,init)

MVG Multivariate Gaussian random number generator by Chad Lieberman

Generates vectors from the multivariate normal distribution parameterized by specified mean vector a (normal, generator, statistics)

mvg(mu,Sigma,N)

MY_YTICKLABELS replaces YTickLabels with "normal" texts and resizes axis to fit the texts by Pekka Kumpulainen

MY_YTICKLABELS replaces YTickLabels with texts, shrinks the axis to fit the texts in the window (annotation, customization, yticklabel)

my_yticklabels(varargin)

Gram-Schmidt Process by Anthony Russo

Implements the Gram-Schmidt Process (basis, gram, orthogonal)

Gram_Schmidt_process(A)

basis_col(A)

basis_row(A)

Smith Form Of A matrix by Ehsan shariati varnosfaderani

This M file,calculate the smith form of a matix. (smith form matrix, minimal, matrice)

Smith_Form_V1.m

Frenet by Daniel Claxton

FRENET - Frenet-Serret Space Curve Invarients (normal, binormal, frenet)

frenet(x,y,z),

Gaussian Bell by Mathias Österberg

Creates a 2 dimensional gaussian distribution. (gaussian, bell, statistics)

gbell(bsize,range,center,sigma)

planenormvec by Yo Fukushima

Calculate the normal vector of a plane in 3D that contains three points. (plane, normal, vector)

planenormvec(p1,p2,p3)

MLE for two Normal Mixtures using EM- algorithm by Panagiotis Braimakis

Illustration of EM algorithm for parameter estimation of Bimodal univariate distributions ... (statistics, probability, em)

Bivariate Cumulative Normal Probability by S B

This function gives bivariate cumulative normal probability and also includes normal probability. (bivariate, statistics, probability)

bivnormcdf(a,b,rho)

normcdfM(x)

normalizepdf.m by Aslak Grinsted

Forces the pdf of data to be normal. (statistics, probability, normal)

[normX,Bx,By]=normalizepdf(X)

A Collection of Fitting Functions by Ohad Gal

A collection of fitting functions for various distributions. (what about left trunc..., rayleigh, fit)

build_mix_2D_gaussian( u_c,covar_c,p_c,N )

build_mix_gaussian( u_c,sig_c,p_c,N )

fit_ML_laplace( x,hAx )

Field of values by Wilmer Henao

Plots the field of values of a square complex matrix. (linear algebra, field of values, eigenvalue)

fovals(A,k)

bivnor by William Moranvil

This function provide an approximation of cumulative bivariate normal probability. (approximation, interpolation, bivariate)

[y]=bivnor(a,b,rho)

MVGRND by Fabio Peixoto

Generates multivariate Gaussian random variables. (normal, gaussian, multivariate)

mvgrnd(m,sigma,n)

rndinvn by Panagiotis Braimakis

Samples from the inverse normal. (statistics, probability, inverse)

randinvnorm

bvnormal by Peter Dunn

The function bvnormal supplies a bivariate normal distribution for the user to interact with. (statistics, probability, bivariate)

bvnormal(option, first)