Excerpt from On the Conditioning of the Nonsymmetric Eigenproblem: Theory and Software
The condition number of a problem measures the sensitivity of the solution to small changes in the input. We call the problem ill-conditioned if its condition number is large, and ill-posed if its condition number is infinite. We may use condition numbers to bound errors in computed solutions of numerical problems.
We illustrate this with a simple example. It is well known that the condition number for solving a system of linear equations is ic(a) E A where [i II is any matrix operator norm (we will be more specific about norms later). Suppose that linear system Ar. B is solved via Gaussian elimination with partial pivoting, or some other stable scheme. Let f be the computed solution. Then one may bound the error by.
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Seller: Forgotten Books, London, United Kingdom
Paperback. Condition: New. Print on Demand. This book reviews the theory and estimation of condition numbers for the nonsymmetric eigenvalue problem. It provides a manual for utilizing LAPACK subroutines STRSNA and STRSEN to estimate condition numbers for singular eigenvalues, eigenvectors, multiple eigenvalues, and invariant subspaces within matrices. The author acknowledges support from NSF through grant ASC-8715728 and the Presidential Young Investigator Award. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781334016752_0
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781334016752
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781334016752
Quantity: 15 available