Matrix Computations
eBook - ePub

Matrix Computations

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice.

The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool.

This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on
• fast transforms
• parallel LU
• discrete Poisson solvers
• pseudospectra
• structured linear equation problems
• structured eigenvalue problems
• large-scale SVD methods
• polynomial eigenvalue problems

Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature—everything needed to become a matrix-savvy developer of numerical methods and software. The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005.

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Yes, you can access Matrix Computations by Gene H. Golub,Charles F. Van Loan in PDF and/or ePUB format, as well as other popular books in Mathematics & Linear Algebra. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Contents
  6. Preface
  7. Global References
  8. Other Books
  9. Useful URLs
  10. Common Notation
  11. 1 Matrix Multiplication
  12. 2 Matrix Analysis
  13. 3 General Linear Systems
  14. 4 Special Linear Systems
  15. 5 Orthogonalization and Least Squares
  16. 6 Modified Least Squares Problems and Methods
  17. 7 Unsymmetric Eigenvalue Problems
  18. 8 Symmetric Eigenvalue Problems
  19. 9 Functions of Matrices
  20. 10 Large Sparse Eigenvalue Problems
  21. 11 Large Sparse Linear System Problems
  22. 12 Special Topics
  23. Index
  24. Footnotes