• Produktbild: Matrix Analysis
  • Produktbild: Matrix Analysis

Matrix Analysis

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.10.2012

Verlag

Cambridge Academic

Seitenzahl

662

Maße (L/B/H)

26/18,3/4 cm

Gewicht

1300 g

Sprache

Englisch

ISBN

978-0-521-83940-2

Beschreibung

Zitat

Review of the first edition: 'The presentation is straightforward and extremely readable. The authors' enthusiasm pervades the book, and the printing is what we expect from this publisher. This will doubtless be the standard text for years to come.' American Scientist Review of the first edition: 'The reviewer strongly recommends that those working in either pure or applied linear algebra have this book on their desks.' SIAM Review Review of the first edition: 'There seems little doubt that the book will become a standard reference for research workers in numerical mathematics.' Computing Reviews Review of the first edition: 'The authors have done an excellent job of supplying linear algebraists and applied mathematicians with a well-organized comprehensive survey, which can serve both as a text and as a reference.' Linear Algebra and its Applications 'The book is well organized, completely readable, and very enlightening. For researchers in matrix analysis, matrix computations, applied linear algebra, or computational science, this second edition is a valuable book.' Jesse L. Barlow, Computing Reviews

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.10.2012

Verlag

Cambridge Academic

Seitenzahl

662

Maße (L/B/H)

26/18,3/4 cm

Gewicht

1300 g

Sprache

Englisch

ISBN

978-0-521-83940-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Matrix Analysis
  • Produktbild: Matrix Analysis
  • 1. Eigenvalues, eigenvectors, and similarity; 2. Unitary similarity and unitary equivalence; 3. Canonical forms for similarity, and triangular factorizations; 4. Hermitian matrices, symmetric matrices, and congruences; 5. Norms for vectors and matrices; 6. Location and perturbation of eigenvalues; 7. Positive definite and semi-definite matrices; 8. Positive and nonnegative matrices; Appendix A. Complex numbers; Appendix B. Convex sets and functions; Appendix C. The fundamental theorem of algebra; Appendix D. Continuous dependence of the zeroes of a polynomial on its coefficients; Appendix E. Continuity, compactness, and Weierstrass' theorem; Appendix F. Canonical pairs.