Matrix Algorithms in MATLAB by Tongru Huo

Matrix Algorithms in MATLAB



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Matrix Algorithms in MATLAB Tongru Huo ebook
Format: pdf
Page: 750
ISBN: 9780128038048
Publisher: Elsevier Science


Works entirely with the original matrix. Matlab, mathematical software, matrix computation, sparse matrix algorithms. This paper describes the results of a project to interface MATLAB with a parallel Interfacing MATLAB with a parallel virtual processor for matrix algorithms. Please am finding it difficult to modify the code to enable the strassen algorithm applicable for odd dimensions. [4] describe and compare many algorithms for computing a matrix exponential. I need to write a recursive function to calculate the determinant of a square matrix. Having trouble coming up with a code that multiplies two matrices together. The algorithm will check to see if A is symmetric and use a more efficient algorithm if it is. The algorithm expm uses is described in [1] and [2]. Mathematics · Sparse Matrices · Sparse Matrix Creation · Sparse Matrix Manipulation · Reordering Algorithms · Sparse Linear Algebra. Both incorporate several improvements over previous algorithms. Using a matrix from the MATLAB Gallery collection as an example, this article discusses three variants of the QR algorithm available in MATLAB. Array indexing, concatenation, sorting, and reshaping. By avoiding arithmetic operations on zero elements, sparse matrix algorithms. This tool lets user generate readable, portable, and customizable C code from their MATLAB algorithms. This is much faster than x=A\b for large matrices. Your programming expertise, the type of algorithms you wish to accelerate, MATLAB uses processor-optimized libraries for matrix and vector computations.





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