Benchmark MATLAB & Julia for Matrix Operations
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Updated
Feb 10, 2025 - MATLAB
Benchmark MATLAB & Julia for Matrix Operations
This project consists of three tasks: 1) analyzing the execution time of chol(A) for Cholesky decomposition to verify cubic complexity. 2) working with sparse matrices stored efficiently using few vectors, similar to the LAPACK format, to solve tridiagonal systems, 3) implementing tensor operations with multidimensional arrays, such as ttt or ttv.
Block Linear Algebra Algorithms in Matlab
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