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Index
Cover Frontmatter 1. Basics
1. Parallel Programming Paradigms 2. Fundamental Kernels
2. Dense and Special Matrix Computations
3. Recurrences and Triangular Systems 4. General Linear Systems 5. Banded Linear Systems 6. Special Linear Systems 7. Orthogonal Factorization and Linear Least Squares Problems 8. The Symmetric Eigenvalue and Singular-Value Problems
3. Sparse Matrix Computations
9. Iterative Schemes for Large Linear Systems 10. Preconditioners 11. Large Symmetric Eigenvalue Problems
4. Matrix Functions and Characteristics
12. Matrix Functions and the Determinant 13. Computing the Matrix Pseudospectrum
Backmatter
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