Moving least squares in matlab

The following Matlab project contains the source code and Matlab examples used for moving least squares. This package contains a set of tools that allows to deform in real-time points and images using the Moving Least Squares algorithms.

Johnson curve fitting in matlab

The following Matlab project contains the source code and Matlab examples used for johnson curve fitting. Implements Carnegie-Mellon STATLIB/Applied Statistics AS-99 for fitting Johnson curve pdfs and developed by: Hill, I.

Computes a smooth regularized solution of an ill-posed discrete linear inverse problem. in matlab

The following Matlab project contains the source code and Matlab examples used for computes a smooth regularized solution of an ill-posed discrete linear inverse problem. . This package computes a smooth regularized solution of an ill-posed linear inverse problem by a non-linear constraint minimization algorithm using the L-curve criterion.

Singular fourier pade approximation in matlab

The following Matlab project contains the source code and Matlab examples used for singular fourier pade approximation. Partial sums of Fourier terms for a function with jumps in value or derivative converge poorly, because of the Gibbs phenomenon.

Bezier curve in matlab

The following Matlab project contains the source code and Matlab examples used for bezier curve. This code for drawing a Bezier curve passing through given points. The Bezier control points are also carried out.

Guyan reduction in matlab

The following Matlab project contains the source code and Matlab examples used for guyan reduction. Guyan reduction or Static reduction: with this method, the reduced model tries to reproduce the natural freq.s of full model.

Scattered data interpolation and approximation using radial base functions in matlab

The following Matlab project contains the source code and Matlab examples used for scattered data interpolation and approximation using radial base functions. Radial base functions (RBF) can be used for interpolation and and approximation of scattered data i.

Rectify matrix sizes in matlab

The following Matlab project contains the source code and Matlab examples used for rectify matrix sizes. RECTIFY takes a set of input matrices and produces as output a set of REPMAT'ed matrices such that all matrices have the same dimensions.

Global and non smooth optimization toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for global and non smooth optimization toolbox. GANSO is a programming library for global and nonsmooth, nonlinear optimization.

Memory mapping matrices in matlab

The following Matlab project contains the source code and Matlab examples used for memory mapping matrices. making and accessing files via memory mapping. very useful when working with a very large data sets/matrices. instead of loading the whole matrix , you can access just specific part of it. very efficient.

Quasi linearization for optimal control trajectory in matlab

The following Matlab project contains the source code and Matlab examples used for quasi linearization for optimal control trajectory. This programme implements Quasi Linearization Algorithm for searching optimal control trajectory, implemented for example of CSTR from book of Optimal Control Engineering by KIRK,

Calllapack matlab interface of lapack and blas functions

The following Matlab project contains the source code and Matlab examples used for calllapack matlab interface of lapack and blas functions. CallLapack is a Matlab mex function that wraps Lapack and Blas functions.

Euklid (inverse) distance weight matrix in matlab

The following Matlab project contains the source code and Matlab examples used for euklid (inverse) distance weight matrix. function W = euklid_W(ws,d,n) function W = euklid_invW(ws,d,n) % PURPOSE: create an (inverse) euklidean distance spatial weight matrix % (n x m 'moving-window' style matrix with distance to center cell % weighted.

Matlab interface for l bfgs b in matlab

The following Matlab project contains the source code and Matlab examples used for matlab interface for l bfgs b. L-BFGS-B is a collection of Fortran 77 routines for solving nonlinear optimization problems with bound constraints on the variables.

Fits circles to 2d data using nonlinear least squares to minimise geometric error in matlab

The following Matlab project contains the source code and Matlab examples used for fits circles to 2d data using nonlinear least squares to minimise geometric error . Although a linear least squares fit of a circle to 2D data can be computed, this is not the solution which minimizes the distances from the points to the fitted circle (geometric error).

Fit ellipses to 2d points using linear or nonlinear least squares in matlab

The following Matlab project contains the source code and Matlab examples used for fit ellipses to 2d points using linear or nonlinear least squares . There are two main methods for least squares ellipse fitting: 1) Minimise algebraic distance, i.

Distance matrix in matlab

The following Matlab project contains the source code and Matlab examples used for distance matrix. Returns the point-to-point distance between all pairs of points (similar to PDIST in the Statistics Toolbox, for those without it)   DMAT = DISTMAT(XY) Calculates the distance matrix using an automatic option DMAT = DISTMAT(XY,OPT) Uses the specified option to compute the distance matrix [DMAT,OPT] = DISTMAT(XY) Also returns the automatic option used by the function   Inputs: XY is an NxP matrix of coordinates for N points in P dimensions

Newton raphson in matlab

The following Matlab project contains the source code and Matlab examples used for newton raphson. This M-file calculates all the real roots of the given polynomial. It calls syn_division, a synthetic division function, and derivate, differentiation function.

This functions implements the algorithm of orthogonal least squares. it can be used to rank regresso in matlab

The following Matlab project contains the source code and Matlab examples used for this functions implements the algorithm of orthogonal least squares. it can be used to rank regresso . [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A.

Unconstrained optimization using powell in matlab

The following Matlab project contains the source code and Matlab examples used for unconstrained optimization using powell. Deterministic unconstrained optimization method using Powell.

Creation and nested dissection of regular 2d and 3d meshes in matlab

The following Matlab project contains the source code and Matlab examples used for creation and nested dissection of regular 2d and 3d meshes . MESHND is an M-file toolbox for creating 2D and 3D meshes and ordering them with nested dissection.

Numerical solution of the falkner skan equation for various wedge angles in matlab

The following Matlab project contains the source code and Matlab examples used for numerical solution of the falkner skan equation for various wedge angles. Flow past a wedge is governed by the Falkner-Skan equation.

Biparabolic interpolation in matlab

The following Matlab project contains the source code and Matlab examples used for biparabolic interpolation. Code to interpolate surface values using a parabolic approximation in both X and Y directions. Parabola coefficients are further used to calculate approximated values of first and second partial derivatives at the requested node of interpolation.

Piecewise parabolic interpolation in matlab

The following Matlab project contains the source code and Matlab examples used for piecewise parabolic interpolation. Piecewise parabolic interpolation and approximated calculation of first and second derivative at the interpolation point.

Compute everything you need for eof,eeof,ceof,svd,lagged svd in matlab

The following Matlab project contains the source code and Matlab examples used for compute everything you need for eof,eeof,ceof,svd,lagged svd . This set of routines computes empirical orthogonal functions (EOF) and their principal components for two dimensional geophysical fields varying in time.

A wrap of lsqnonlin using complex step differentiation to get jacobian in matlab

The following Matlab project contains the source code and Matlab examples used for a wrap of lsqnonlin using complex step differentiation to get jacobian . Complex step differentiation (CSD) is a superior numerical differentiation approach. Normally, it is more efficient and accurate than finite difference appraoch. This package provides a way to improve the MATLAB lsqnonlin function using the CSD.

Multi-dimensional polynomial interpolation functions in matlab

The following Matlab project contains the source code and Matlab examples used for multi-dimensional polynomial interpolation functions . Tools for Multidimensional Polynomial Interpolation and Approximation - polymake.

Fit a gaussian like curve to data in matlab

The following Matlab project contains the source code and Matlab examples used for fit a gaussian like curve to data . FITGAUSS is a function to fit a gaussian like curve "f" to experimental data by Marquardt-Levenberg non-linear least squares minimization.

Global maximum point for 3d surface using ga in matlab

The following Matlab project contains the source code and Matlab examples used for global maximum point for 3d surface using ga. This program demonstrates the optimization by genetic algorithm to find the global maximum height for thee dimensional multiple peak surface. The GA operates by real coding method with elitism

Pseudo inverse update in matlab

The following Matlab project contains the source code and Matlab examples used for pseudo inverse update. Pseudo-inverse calculation is time-consuming particularly for large size matrices.