Computer algebra systems

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.

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.

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.

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.

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.

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.

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