June 2015
Intermediate to advanced
259 pages
6h 51m
English
Content preview from Introduction to Computational Linear Algebra
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List of Algorithms
1.1 GAXPY Implementation Using Saxpy . . . . . . . . . . . . . 9
1.2 GAXPY Implementation Using Scalar Product . . . . . . . . 10
1.3 Matrix Product Implementation Using GAXPY . . . . . . . . 12
1.4 Sparse GAXPY Implementation Using Scalar Products . . . . 18
1.5 Sparse Matrix Multiplication . . . . . . . . . . . . . . . . . . 24
1.6 Strassen’s Algorithm . . . . . . . . . . . . . . . . . . . . . . . 26
2.1 Gram-Schmidt Orthogonalization . . . . . . . . . . . . . . . . 33
2.2 A Classical Gram-Schmidt Orthogonalization Process . . . . 53
2.3 Implementation of Schur’s Decomposition . . . . . . . . . . . 54
2.4 Singular Value Decomposition ...
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