The algebraic eigenvalue problem by J. H. Wilkinson

• The algebraic eigenvalue problem
• J. H. Wilkinson
• Page: 683
• Format: pdf, ePub, mobi, fb2
• ISBN: 9780198534181
• Publisher: Oxford University Press, USA

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<p>This volume, which became a classic on first publication, is perhaps the most important and widely read book in the field of numerical analysis. It presents a distillation of the author's pioneering discoveries concerning the computation of matrix eigenvalues. The emphasis is on the transmission of knowledge rather than elaborate proofs. The book will be valued by all practising numerical analysts, students and researchers in the field, engineers, and scientists. </p>

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§E.2 THE STANDARD ALGEBRAIC EIGENPROBLEM. §E.1. Introduction. This Chapter discusses the conventional algebraic eigenvalue problem. It summarizes  Templates for the Solution of Algebraic Eigenvalue Problems: a
A guide to the numerical solution of eigenvalue problems. This book attempts to present the many available methods in an organized fashion,  A Survey of Software for Sparse Eigenvalue Problems - GRyCAP
Table 1: List of software for the solution of sparse eigenvalue problems. .. for the Solution of Algebraic Eigenvalue Problems: A Practical Guide (edited by Z. Bai  Numerical methods for large eigenvalue problems - Computer
1 Background in Matrix Theory and Linear Algebra. 1. 1.1 .. Preface. Matrix eigenvalue problems arise in a large number of disciplines of sciences and. The Quadratic Eigenvalue Problem - University of Manchester
vectors, respectively, corresponding to the eigenvalue λ. A major algebraic difference between the QEP and the standard eigenvalue problem (SEP),. Ax = λx,. ON THE GENERAL ALGEBRAIC INVERSE EIGENVALUE
Key words: Linear algebra, Eigenvalue problem, Inverse problem. 1. Introduction. We are interested in solving the following inverse eigenvalue problems:. helmut wielandt's contributions to the numerical solution of - cerfacs
algebraic eigenvalue problem [27] continues to in uence computational linear algebra. to this day. Both, Wielandt and Wilkinson had a thorough understanding   Numerical Solution of Singular Eigenvalue Problems for ODEs with
43. 5 Matrix Methods. 47. 5.1 The Algebraic Eigenvalue Problem . . . . . . . . . . . . . . . . . . . . . . 47. 5.2 A Matrix Method for a Singular First Order Differential EVP .

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