Dot product of two N-dimensional arrays. by Xiaodong

DOT3(A, B) returns their scalar product, where A and B are arbitrary arrays with arbitrary sizes. (dot product, nd, ndimension)

dot3.m

Joint entropy and histogram calculation for 3D+ images by ja

Reasonably fast. Build for any number of dimensions. (joint histogram, joint entropy, 3d)

ent(J,K,t,xyz)

N-dimensional histogram by Bruno Luong

Compute n-dimensional histogram (histogram, nd, histc)

histcn(X, varargin)

N-D histogram by Kota Yamaguchi

Extension to the histc function to count the number of data points on N-D grid. (histogram, histc, nd)

histcnd( x, edges )

Separable N-Dimensional Convolution by Igor Solovey

N-dimensional convolution for separable kernels, similar to functionality of "conv2(hcol, hrow, A)" (convolution, separability, nd)

convnsep(h,V,type)

test01.m

N-Dimensional Histogram Count by Mathew

Bins the elements of n matrices into an n-dimensional histogram. (histogram, hist, histc)

n=histcnd(varargin)

Separate Kernel in 1D kernels by Dirk-Jan Kroon

Decompose an arbitrary N dimensional filtering kernel into 1D kernels, for faster filtering (2d, gaussian, 3d)

[K1 KN ERR]=SeparateKernel(H)

DimFunc by Ged Ridgway

Apply a function along any dimension of an n-D array. (multidimensional arra..., nd, first nonsingleton di...)

dimfunc(func, data, dim, out_length, handles_matrix)

Kernel decomposition by Cris Luengo

This function does the decomposition of a separable nD kernel into its 1D components. (image processing, convolution, separable convolution)

decompose_kernel(h_orig)

GAFFE A toolbox for solving evolutionary nonlinear PDEs by Edward Grace

This toolbox implements the well known split-step Fourier technique for solving nonlinear PDEs. (soliton, 2d, 1d)

B=fftnpad(A,varargin)

DefaultDiffraction(dz,KX,X,u,U)

DefaultDiffractionFibich(dz,KX,X,u,U)

Nonlinear fitting n-dimensional data with arbitrary functions by Jan

Demonstrates the abilities of Matlab functions lsqcurvefit, fmincon and fminsearch to fit complex mo (optimization, ndimensional data, nd)

fit_func

fit_nl

fit_nl_ex

Maximum Or Minimum for N Dimension Array by Serhend Arvas

These functions return the subscripts of the maximum or minimum in an Array (maximum, max, min)

Output=maxNsarvas(V)

Output=minNsarvas(V)

[mn,idx,col]=minn(A)

eigND - n-dimensional eigenvalues by Neil Sims

Eigenvalues of a real non-symmetric N-dimensional matrix (linear algebra, eig, eigenvalue)

eigND(varargin)

INDIM by Peter (PB) Bodin

Picks, or assigns elements to, a hyperplane defined by indices and a dimension. (matrices, index, dimension)

indim(A,dim,inds,B)

fgridmin.m by Kenneth Johnson

global minimization utility (optimization, global optimization, utility)

fgridmin(y)

N-D customized gridding by Brégeon Rémi

An update of ffndgrid to customize computed values. (specialized, plotting, gridding)

ffndgrid(x, f, delta,limits,aver);

FIBONACCI by Mukhtar Ullah

Array of fibonacci numbers. (fibonacci, numbers, array)

fibonacci(n)

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)