## Matrix Algorithms in MATLAB. Tongru Huo Matrix-Algorithms-in-MATLAB.pdf
ISBN: 9780128038048 | 750 pages | 19 Mb • Matrix Algorithms in MATLAB
• Tongru Huo
• Page: 750
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780128038048
• Publisher: Elsevier Science

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity. The book provides an overview and classification of the interrelations of various algorithms, as well as numerous examples to demonstrate code usage and the properties of the presented algorithms. Despite the wide availability of computer programs for matrix computations, it continues to be an active area of research and development. New applications, new algorithms, and improvements to old algorithms are constantly emerging. Presents the first book available on matrix algorithms implemented in real computer code Provides algorithms covered in three parts, the mathematical development of the algorithm using a simple example, the code implementation, and then numerical examples using the code Allows readers to gain a quick understanding of an algorithm by debugging or reading the source code Includes downloadable codes on an accompanying companion website and that can be used in other software development

LU matrix factorization - MATLAB lu - MathWorks
This MATLAB function returns matrix Y that, for sparse A, contains the strictly lower Most of the algorithms for computing LU factorization are variants of  Magic Squares, Part 2, Algorithms - MATLAB Central Blogs
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Matlab, mathematical software, matrix computation, sparse matrix algorithms. By avoiding arithmetic operations on zero elements, sparse matrix algorithms. Eigenvalues and eigenvectors - MATLAB eig - MathWorks Benelux
It is better to pass both matrices separately, and let eig choose the best algorithm to  Set parameters for sparse matrix routines - MATLAB spparms
This MATLAB function sets one or more of the tunable parameters used in the Also produces very detailed information about the sparse matrix algorithms. Symmetric approximate minimum degree permutation - MATLAB
This MATLAB function for a symmetric positive definite matrix S, returns the permutation vector Sparse Matrix Algorithms Research at the University of Florida:  Trace region boundaries in binary image - MATLAB bwboundaries
Each row in the matrix contains the row and column coordinates of a boundary the Moore-Neighbor tracing algorithm modified by Jacob's stopping criteria. Fundamental Matrix Computation - File Exchange - MATLAB Central
File exchange, MATLAB Answers, newsgroup access, Links, and the 3 standard algorithms for the computation of the fundamental matrix. Discrete Fourier transform matrix - MATLAB dftmtx - MathWorks
Algorithms. dftmtx takes the FFT of the identity matrix to generate the transform matrix. See Also. convmtx | fft. Introduced before

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