N-dimensional sparse arrays by Matt J

Creates an N-dimensional sparse array object, for arbitrary N. (sparse, ndimensional, multidimensional)

varargout=ndstest(TOL)

ndSparse

Optimal Inverse Function Creation by Alan Jennings

Creates continuous, optimal inverse-functions: given a desired output, finds the optimal input (inverse, optimization, multidimensional)

InvFun_Test

InvFuntions=InvFun(Pop_I,ProbStrut)

Two-dimensional (2D) paired Kolmogorov-Smirnov test by Dylan Muir

Performs a two-sample, two-tailed, two-dimensional Kolmogorov-Smirnov test, with accurate p-values (statistics, statistical test, twodimensional)

kstest_2s_2d(x1, x2, alpha)

mxArrayIndexingClass by Mirko Kunze

mxArray indexing class for mex-file programming (matrix, mex, multidimensional)

runtestarrayclass.m

Flatten Any Mulitdimensional Matrix into a 2-D Matrix! by Darin Koblick

Convert any multidimensional matrix into a 2-D Matrix. Then convert it back to its original form. (matrix, 2d, flattening)

eDim(fND,fSeq)

fDim(ND,dim)

multiDimDemo()

N-dimensional Sparse Matrices by Jonathan Karr

N-dimensional sparse matrix and circular sparse matrix classes for arbitrary N. (sparse, multidimensional, matrix)

edu.stanford.covert.util.CircularSparseMat

edu.stanford.covert.util.CircularSparseMat_Test

edu.stanford.covert.util.SparseMat

Fullminsearch by Vratislav Harabis

Exhaustive search optimization method for one to multidimensional cases. (exhaustive search, optimization, multidimensional)

findpermut(k, xlow, xhigh, xstep)

fullminsearch(funfcn, xlow, xhigh, xstep)

polyfitn by John D'Errico

Polynomial modeling in 1 or n dimensions (polyfit, modeling, regression)

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

A multidimensional map class by David Young

MapN provides a map class similar to containers.Map, but with multidimensional keys. (map, container, containers)

memoize(f)

MapN

N largest values and locations in multidimensional array by Alan Jennings

Returns the N largest values for a multidimensional array, and their subscripts. (kthvalue, max, largest)

[maxs,locs]=maxNvalues(A,n,Unique)

General Least Squares Regression by Husam Aldahiyat

Multi Dimensional Multivariable Least Squares Regression (least, squares, regression)

[fm,C9]=mreg(x,y,m)

n-Mode Tensor - Matrix Product by Fabian Schneiter

Calculates the n-mode product between a tensor and a matrix. (nmode, matrix, tensor)

nmodeproduct(A,M,n)

Moivre by Orlando Rodríguez

Moivre's formula (roots of complex numb..., mathematics, multidimensional)

moivre( n, z )

maxmax by Simon

find the max value and position from a multi-dimensional matrix (max max, maxmax, multidimensional)

[max_value max_id]=maxmax(x)

Polybase by Giampiero Campa

Multi-Dimensional Polynomial Interpolation Functions (approximation, interpolation, multidimensional)

demos

p=polymake(name,x0,XR,varargin)

polycomb(varargin)

mcint by Lee Ferchoff

Monte Carlo integrator over arbitrary n-dimensional domains (integration, monte carlo, integrator)

jacobian(x, system)

learnmcint

mcint(h, n, opt)

smoothn by Anil Gannepalli

Smooths N-D input data using 'box' or 'gaussian' filter using a specified convolution kernel. (approximation, interpolation, smooth)

smoothn(X,sz,filt,std)