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Parallel Algorithms for Numerical Linear Algebra [H. van der Vorst, P. van Dooren ] on centbedtoitulo.cf *FREE* shipping on qualifying offers. This is the first in a.
Table of contents

Help Centre. Track My Order. My Wishlist Sign In Join. Be the first to write a review. Add to Wishlist. Ships in 15 business days. Link Either by signing into your account or linking your membership details before your order is placed. Description Table of Contents Product Details Click on the cover image above to read some pages of this book! Invited Lectures. Contributed Lectures. In Stock. The Bestseller Code. View Wishlist. Numerical Linear Algebra and Optimization, Vol. Linear Algebra Background. Computation and Condition. Linear Equations. Compatible Systems. Linear Least Squares. Linear Constraints I: Linear Programming.

The Simplex Method. Jennings and J. McKeowen Basic Algebraic and Numerical Concepts. Some Matrix Problems. Computer Implementation. Elimination Methods for Linear Equations. Sparse Matrix Elimination.

Numerical linear algebra : digital signal processing and parallel algorithms in SearchWorks catalog

Some Matrix Eigenvalue Problems. Transformation Methods for Eigenvalue Problems. Sturm Sequence Methods. Vector Iterative Methods for Partial Eigensolution. Iterative Methods for Linear Equations. Non-linear Equations. Parallel and Vector Computing. Datta Numerical Linear Algebra and Applications. Review of Required Linear Algebra Concepts. Floating Point Numbers and Errors in Computations. Stability of Algorithms and Conditioning of Problems.

Numerically Effective Algorithms and Mathematical Software. Numerical Matrix Eigenvalue Problems. The Generalized Eigenvalue Problem.

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A Taste of Roundoff Error Analysis. Heath Scientific Computing. Eigenvalues and Singular Values. Nonlinear Equations. Numerical Integration and Differentiation. Partial Differential Equations. Fast Fourier Transform. Random Numbers and Simulation. Power Tools of the Trade. Polynomial Interpolation. Piecewise Polynomial Interpolation. Numerical Integration. Linear Systems. The QR and Cholesky Factorizations.

Nonlinear Equations and Optimization. The Initial Value Problem. Higham Principles of Finite Precision Computation. Floating Point Arithmetic. Perturbation Theory for Linear Systems.

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Triangular Systems. LU Factorization and Linear Equations. Cholesky Factorization. Iterative Refinement. Block LU Factorization. Condition Number Estimation. The Sylvester Equation. Stationary Iterative Methods.


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Matrix Powers. QR Factorization. The Least Squares Problem. Underdetermined Systems. Vandermonde Systems. Fast Matrix Multiplication. The Fast Fourier Transform and Applications. Automatic Error Analysis. Software Issues in Floating Point Arithmetic. A Gallery of Test Matrices. Demmel Linear Equation Solving. Linear Least Squares Problems.

Nonsymmetric Eigenvalue Problems. Iterative Algorithms for Eigenvalue Problems. Trefethen and D. Bau III Matrix-Vector Multiplication.

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Orthogonal Vectors and Matrices. More on the SVD. Gram-Schmidt Orthogonalization.