# Optimization in matlab an introduction to quadratic programming

The following Matlab project contains the source code and Matlab examples used for optimization in matlab an introduction to quadratic programming. A control strategy for optimal operation of a hydroelectric dam is found through nonlinear and quadratic programming techniques.

# Variational mode decomposition in matlab

The following Matlab project contains the source code and Matlab examples used for variational mode decomposition. Spectrum-based decomposition of a 1D input signal into k band-separated modes.

# Newton raphson solver in matlab

The following Matlab project contains the source code and Matlab examples used for newton raphson solver. Although this is the most basic non-linear solver, it is surprisingly powerful.

# The jsr toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for the jsr toolbox. The Joint Spectral Radius of a set of matrices characterizes the maximal asymptotic rate of growth of a product of matrices taken in this set, when the length of the product increases.

# Program computes idf curves in matlab

The following Matlab project contains the source code and Matlab examples used for program computes idf curves. The program takes several sets of duration-depth and computes the IDF curves using Gumbel and the Bernard equation to compute the intensity-duration-frequency curves for precipitation design

# Dual quaternion symbolic toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for dual quaternion symbolic toolbox. Major work was done by by Guillaume Leclercq on http://www.

# Dijkstra lowest cost for images in matlab

The following Matlab project contains the source code and Matlab examples used for dijkstra lowest cost for images. 1) Simple version of Dijkstra that supports sparse matrices as an input 2) im2graph for converting an image to graph representation (sparse distance matrix). Supports both 4 connected and 8 connected neighborhoods

# Curvilinear coordinates in matlab

The following Matlab project contains the source code and Matlab examples used for curvilinear coordinates. Programs and utility functions employing the Symbolic Math Toolbox are provided to analyze vectors and tensors in general curvilinear coordinates.

# Mixed integer linear programming in matlab

The following Matlab project contains the source code and Matlab examples used for mixed integer linear programming in matlab. These files accompany the webinar which can be viewed here: http://www.

# Camera geometry algorithms in matlab

The following Matlab project contains the source code and Matlab examples used for camera geometry algorithms. Implementation of various camera geometry algorithms from "Multiple View Geometry in Computer Vision", (Hartley and Zisserman, 2006).

# This package allows using an arduino connected to the computer to perform analog and digital input. in matlab

The following Matlab project contains the source code and Matlab examples used for this package allows using an arduino connected to the computer to perform analog and digital input. . This package allows using an Arduino connected to the computer to perform Analog and Digital Input and Output, (and command motors) from MATLAB.

# Matlab support package for arduino (aka arduinoio package) in matlab

The following Matlab project contains the source code and Matlab examples used for matlab support package for arduino (aka arduinoio package). Arduino (www.

# Tensor voting with steerable filters in matlab

The following Matlab project contains the source code and Matlab examples used for tensor voting with steerable filters. Tensor voting is a framework for feature inference in images, based on perceptual principles.

# Mat2piv in matlab

The following Matlab project contains the source code and Matlab examples used for mat2piv. Takes an N-dimensional vector/matrix/tensor M and optional user-provided labels and flattens it into a cell array suitable for use as an Excel pivot table datasource.

# Matlabbgl provides robust and efficient graph algorithms for matlab using native data structures. in matlab

The following Matlab project contains the source code and Matlab examples used for matlabbgl provides robust and efficient graph algorithms for matlab using native data structures. . The MatlabBGL library fills a hole in Matlab's suite of algorithms.

# Blind Source Separation Matlab Code

The following matlab project contains the source code and matlab examples used for blind source separation.

# Blind modal identification with hankel matrices (bmidhm) toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for blind modal identification with hankel matrices (bmidhm) toolbox. This toolbox is for performing modal identification from ambient random data.

# Bayesian Classifier Matlab Code

The following matlab project contains the source code and matlab examples used for bayesian classifier.

# Structure learning package for bayes net toolbox in matlab

The following Matlab project contains the source code and Matlab examples used for structure learning package for bayes net toolbox. Learning methods for Bayesian Networks and statistical tools

# Accelerating heat equation on the gpu in matlab

The following Matlab project contains the source code and Matlab examples used for accelerating heat equation on the gpu. HEATEQGUI is an interactive GUI that lets you compare different ways for solving the heat equation.

# Intsolver an interval based solver for global optimization in matlab

The following Matlab project contains the source code and Matlab examples used for intsolver an interval based solver for global optimization. We present a set of functions based on interval arithmetic to solve small size global optimization problems with guaranteed bounds on solutions.

# Bms toolbox for matlab bayesian model averaging (bma)

The following Matlab project contains the source code and Matlab examples used for bms toolbox for matlab bayesian model averaging (bma). Bayesian Model Averaging for linear models under Zellner's g prior.

# Adaptive Noise Cancellation Matlab Code

The following matlab project contains the source code and matlab examples used for adaptive noise cancellation.

# Snail helix matrix indexing in matlab

The following Matlab project contains the source code and Matlab examples used for snail helix matrix indexing. While Matlab scans/indexes matrices column-wise, some algorithms demand Snail/Escargot/Helix indexing (LBP is the last case I've encountered this issue). This functions implements (very shortly and intuitively if I may add) such an indexing, missing from Matlab indexing methods.

# Bayesian wavelet network first version in matlab

The following Matlab project contains the source code and Matlab examples used for bayesian wavelet network first version. This toolbox is a fully object-oriented toolbox with a GUI for Bayesian Wavelet Networks.

# Lda Matlab Code

Linear discriminant analysis (LDA) and the related Fisher's linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

The following matlab project contains the source code and matlab examples used for lda.

# Fast null linear discriminant analysis in matlab

The following Matlab project contains the source code and Matlab examples used for fast null linear discriminant analysis. Null linear discriminant analysis (LDA) method is a popular dimensionality reduction method for solving small sample size problem.

# Linear discriminant analysis code in matlab

The following Matlab project contains the source code and Matlab examples used for linear discriminant analysis code. % [sLDA WLDA M WPCA]=mylda(data,class,n) % this function written by muhammet balcilar % yildiz technical university computer engineering department % istanbul turkiye 2011 % this function convert data from its original space to LDA space % if number of data samples is less than number of diamension, PCA is % implemented for reducing number of diamension to #samples-1.

# Lda linear discriminant analysis in matlab

The following Matlab project contains the source code and Matlab examples used for lda linear discriminant analysis. Features of this implementation of LDA: - Allows for >2 classes - Permits user-specified prior probabilities - Requires only base MATLAB (no toolboxes needed) - Assumes that the data is complete (no missing values) - Has been verified against statistical software - "help LDA" provides usage and an example, including conditional probability calculation Note: This routine always includes the prior probability adjustment to the linear score functions.

# Lda (linear discriminant analysis) in matlab

The following Matlab project contains the source code and Matlab examples used for lda (linear discriminant analysis). This code used to learn and explain the code of LDA to apply this code in many applications. For nay help or question send to engalaatharwat@hotmail.com