MIMO-Diophantine solver by davood shaghaghi

This function solve MIMO-Diophantine equation. (control design, optimization, simulation)

mimodioph(A,B,N)

Fit 2D Gaussian with Optimization Toolbox by Nathan Orloff

Fit a 2D rotated gaussian. http://en.wikipedia.org/wiki/Gaussian_function (image processing, optimization, signal processing)

fmgaussfit(xx,yy,zz)

TransposeMat - like transpose, but handles N-D arrays by Chad Webb

Transposes the rows/columns (only) on any N-dimensional array (simulation, optimization, earth science)

TransposeMat(in)

IMComp-Image Compression Software by Saurabh Aggarwal

IMComp is an Image Compression tool useful for compressing digital JPG images. (image processing, signal processing, optimization)

IMComp(varargin)

imagecompression.m

Linear regression for multiple category data with different slopes for each by Soumya Banerjee

The function does OLS and RMA regression on data that is categorized into two different categories (communications, optimization, aerospace)

regress_plot_twocategories_allslope

CELP codec by Sourav Mondal

This is a code to demonstrate CELP codecs of bitrate 9.6kbps and 16kbps. (celp, audio codec, lpc)

celp16k(x,N,L,M,c,cb,Pidx)

celp9600(x,N,L,M,c,cb,Pidx)

celpana(x,L,M,c,cb,Pidx,bbuf,ebuf,Zf,Zw)

Nonnegative Matrix and Tensor Factorization (NMF, NTF) with any beta-divergence by Antoine Liutkus

very simple to use implementation of the NMF/NTF model (nmf, ntf, nonnegative)

betaNTF(V,K,varargin)

solving Diofantine equation by davood shaghaghi

This function is written to solve Diofantine equation.this equation should be in the form of C = A*F (control design, optimization, simulation)

david_dioph(A,C,n)

Linear regression with statistics for multiple category data by Soumya Banerjee

This function does linear regression with statistics for multiple category data (OLS and RMA) (aerospace, automotive, biotech)

regress_plot_twocategories

Random Search Algorithm by Reza Ahmadzadeh

Random search belongs to the fields of Stochastic Optimization and Global Optimization. (optimization, algorithm, global)

RSA.m

RSA_visual.m

Array Factor by Electromagnetizery

Array Factor for dipoles. Adjustable number of elements, progressive phase, and separation distance. (antenna, phi, factor)

ArrayFactor(varargin)

Locally Adaptive Kernel Density Estimation by Hideaki Shimazaki

Kernel density estimation with bandwidths locally adapted to data. (statistics, bandwidth, kernel)

sshist(x,N)

sskernel(x,tin,W)

ssvkernel(x,tin)

polymorph by Mike Sheppard

Morphs two polygons (optimization, data exploration, matrix)

P=polymorph(P1,P2,numsteps,numpts,exact)

Cell Extrema by Ioannis Filippidis

Find the minimum and maximum of 2D cell matrix, which may contain nested cell or numeric arrays. (matrix, mathematics, data exploration)

extrema(x)

max_cell(a)

min_cell(a)

Monte Carlo Markov Chain for inferring parameters for an Ordinary Differential Equation model by Soumya Banerjee

This function uses a Monte Carlo Markov Chain algorithm to infer parameters for an ODE model (biotech, data export, data import)

mcmc_ode

analyze_mcmc(parallel)

test_gamma()

Fisher Matrix Toolbox (Fisher4Cast ) by Yabebal Fantaye

General Fisher Matrix Toolbox and GUI (fisher matrix, latex, fisher4cast)

Cooray_et_al_2004

EXT_FF_Blake_etal2005_Input

EXT_FF_Blake_etal2005_Main(Input_survey)

Graphical User Interface for Solving Ordinary Differential Equations by Soumya Banerjee

A Graphical User Interface for Solving Ordinary Differential Equations (Immune Response Model) (data export, data import, gui)

odecall_eclipse_tcl_jv_local(target,infected,...

odesolver_outline(varargin)

Linear regression on log transformed data by Soumya Banerjee

A function that takes two column vectors and does linear regression on the data (statistics, mathematics, data import)

regress_custom(input_x,input_y,desc,x_label,y_label)

Simple example of genetic algorithm for optimization problems by Andrea Cirillo

It is used to generate useful solutions to optimization and search problems. (algorithm, genetic, optimization)

[p_min, iter, f]=genetic_algorithm (func, numMaxInd, numF, ...

Apply multiple functions in a single function. by Nikolay S.

Allows the user to apply functions to inputs, with various input-output combination's. (variables, structures, utility)

varargout=funXapply(varargin) % (inArray, cellOfFuncs)

Multiple Variable Traveling Salesmen Problem - Genetic Algorithm by Joseph Kirk

Finds a near-optimal solution to a variation of the MTSP with variable number of salesmen using a GA (optimization, multiple traveling sa..., mtsp)

mtspv_ga(xy,dmat,minTour,popSize,numIter,showProg,showResul...

Newton - Raphson method by Andrea Cirillo

Find the zero of a regular function with Newton - Raphsons' method. (newton raphson, zero, newton)

zero=newton_raphson(funzione,tolleranza)

LSMR: An iterative algorithm for least-squares problems by David

Official successor to the LSQR algorithm, developed by David Fong and Michael Saunders. (matrix, sparse matrix, linear equation)

[x, istop, itn, normr, normAr, normA, condA, normx]...

lsmrtest( m,n,lambda,localSize )

Simple example of PSO algorithm by Andrea Cirillo

Matlab function to find the minimum of a objective function with the PSO Algorithm (pso, function, minimum)

[p_min, f_min, iter]=pso(func, numInd, range, n_var, tolera...

Simple example of the Simplex Method by Andrea Cirillo

It's a function that finds the minimum value of a two variables function with the simplex method. (function, method, mathematics)

simplexMethod(fun, init_point, step_size, toll, numMaxIter)

Pattern search method: deterministic iterative zero order algorithm by Andrea Cirillo

It finds the relative minimum of a two variables function with the Pattern search method. (optimization, mathematics, deterministic)

pattern_search(f, p0, step_size, tolerance, N_it)

Function to generate Timeseries file to use for Moore FSM coverage analysis. by Paul Metcalf

This function generates a Timeseries file which can be used for Moore FSM coverage analysis. (control design, data import, demo)

generatetestdata(i)

Bisection's method by Andrea Cirillo

It's a matlab function that finds a regular real function's zero with the bisection's method. (bisection, approximation, optimization)

p_min=bisection(func,int,iter,tol_x,tol_f)

Least Mean Square Error Image Difference by David Smith

Compute the image difference with the minimum mean square error. (image processing, mathematics, measurement)

lmse (target_image, reference_image)

lmsediff (target_image, reference_image, mask)

lmse_example.m

Generalized Principal Component Pursuit by Angshul Majumdar

min nuclear_norm(L) + beta*||W(S)||_1 subject to ||y-F(S+L)|_2 < err (demo, mathematics, image processing)

L1NN(y, F, W, sizeImage, beta, err, alpha, c)

createSamplingScheme (sizeImage, patternName, patternParame...

demo.m

Speeding Up Optimization Problems with Parallel Computing by Stuart Kozola

Files from the webinar: Speeding up optimization problems with parallel computing (aerospace, automotive, demo)

Electron Problem Optimization

First Order Reliability Method using a Simulink Flutter Mod...

computebestportfolioPCT(expRet,expCov,portSize,targetRet)

Gradient from Neural Network by Alan Jennings

Function that takes a NN and creates a new NN that gives the gradient. (neural networks, function, gradient)

NN_DerivativeValidate

NN_GradientFunction(net)

Gaussian Pyramid by Pranam Janney

Generates a gaussian pyramid for the given input image (image processing, medical, statistics)

Gscale(img,levels,gsize,sigma);

Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar

Reweighted Lm,p algorithm Smoothed L2,0 algorithm (communications, matrix, signal processing)

GenGroupSparseProblem(m, n, nGroups, activeGroups)

GenerateProblem(channel_length, pilot_length, channel_spars...

l2p_re(A,y,p,group)

Improving Simulink Design Optimization Performance Using Parallel Computing by Linda Webb

Parallelization of a controller parameter tuning task using an aerospace system model as an example (whitepaper, article, paper)

Fast function to save a matrix by Arvid Bottiger

write_matrix_bin(f,m) is a fats way to save a matrix of arbitrary size and dimension. (optimization, data, export)

read_matrix_bin( filename, varargin )

write_matrix_bin( filename, matrix, varargin )

MatPlanWDM v0.5 by Pablo Pavon Mariño

Educational network planning tool for the RWA problem in WDM networks (MILP and heuristic based) (optimization, network planning and ..., optical networks)

...

Dynamic(varargin)

HPSR2001_minTransceivers.m

Steepest descent method by Bapi Chatterjee

It solves an optimization problem by steepest descent method. (steepest descent, convex, minimization)

steepestdescent.m

Improving Optimization performance with Parallel Computing by Linda Webb

Parallel computing can accelerate the solution of computationally expensive optimization problems (whitepaper, article, paper)

convexchecker by Bapi Chatterjee

It checks real valued multidimensional function, whether it is convex. (optimization, finance, convex)

convexchecker.m

Writing Fast MATLAB Code by Pascal Getreuer

Speed up your project with this collection of techniques. (programming, article, paper)

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction by Angshul Majumdar

Greedy Algorithms for Underdetermined but Sparse Solutions (image processing, simulation, signal processing)

A=matrix_normalizer(B)

GenSig(n, k)

OLS(A, y, m, err)

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction by Angshul Majumdar

Greedy Algorithms for Underdetermined but Sparse Solutions (optimization, signal processing, simulation)

A=matrix_normalizer(B)

GenSig(n, k)

OLS(A, y, m, err)

Bimatrix Game by Bapi Chatterjee

The bimat.m solves a bimatrix game represented by two matrices M and N . (bimatrix, matrix, optimization)

[A,B,a,b,iterations,err,ms]=bimat(M,N)

Image Processing Subset by Anthony Gabrielson

I have started to write a subset of the Image Processing toolbox. (signal processing, image processing, mex)

buildMex(filename, enblDbg)

Generalized Objective Function by Anthony Kendall

Allows any MATLAB function to easily be optimized (optimization, objective, function)

objective_function(firstArg,funcName,evalLocs,obs,objName)

weighted least-squares + weighted min-max optimization by Lai Chiong Ching

Optimization using both weighted least squares and weighted min-max (optimization, least squares, minmax)

...

egCostFunc(x)

egNlcon(x)

Genetic Algorithm by Djaghloul Mehdi

Multimodal Function Optimisation (ga, function, genetic algorithm)

Fit_fun_val=fit_fun(v)

[w]=JGAopt(w0,pop_size,Kga_fin,Max_error)

Tutorial: C mex matrix demo by Nick Clark

Index matrix in C like you would do in MATLAB! (array, guide, vectorize)

Symbolic Hessian Evaluator by Brad Ridder

For a symbolic input function f, returns the symbolic Hessian matrix. A real time saver imho -_- (hessian, matrix, optimization)

hessian(f,varlist)