Handbook of linear algebra /

Saved in:
Bibliographic Details
Imprint:Boca Raton, FL : Chapman & Hall/CRC, c2007.
Description:1 v. (various pagings) : ill. ; 27 cm.
Language:English
Series:Discrete mathematics and its applications
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/6168749
Hidden Bibliographic Details
Other authors / contributors:Hogben, Leslie.
ISBN:1584885106 (acid-free paper)
9781584885108 (acid-free paper)
Notes:Includes bibliographical references and indexes.
Table of Contents:
  • Preliminaries
  • Part I. Linear Algebra
  • Basic Linear Algebra
  • 1. Vectors, Matrices and Systems of Linear Equations
  • 2. Linear Independence, Span, and Bases
  • 3. Linear Transformations
  • 4. Determinants and Eigenvalues
  • 5. Inner Product Spaces, Orothogonal Projection, Least Squares and Singular Value Decomposition
  • Matrices with Special Properties
  • 6. Canonical Forms
  • 7. Unitary Similarity, Normal Matrices and Spectral Theory
  • 8. Hermitian and Positive Definite Matrices
  • 9. Nonnegative and Stochastic Matrices
  • 10. Partitioned Matrices
  • Advanced Linear Algebra
  • 11. Functions of Matrices
  • 12. Quadratic, Bilinear and Sesquilinear Forms
  • 13. Multilinear Algebra
  • 14. Matrix Equalities and Inequalities
  • 15. Matrix Perturbation Theory
  • 16. Pseudospectra
  • 17. Singular Values and Singular Value Inequalities
  • 18. Numerical Range
  • 19. Matrix Stability and Inertia
  • Topics in Advanced Linear Algebra
  • 20. Inverse Eigenvalue Problems
  • 21. Totally Positive and Totally Nonnegative Matrices
  • 22. Linear Preserver Problems
  • 23. Matrices over Integral Domains
  • 24. Similarity of Families of Matrices
  • 25. Max-Plus Algebra
  • 26. Matrices Leaving a Cone Invariant
  • Part II. Combinatorial Matrix Theory and Graphs
  • Matrices and Graphs
  • 27. Combinatorial Matrix Theory
  • 28. Matrices and Graphs
  • 29. Digraphs and Matrices
  • 30. Bipartite Graphs and Matrices
  • Topics in Combinatorial Matrix Theory
  • 31. Permanents
  • 32. D-Optimal Designs
  • 33. Sign Pattern Matrices
  • 34. Multiplicity Lists for the Eigenvalues of Symmetric Matrices with a Given Graph
  • 35. Matrix Completion Problems
  • 36. Algebraic Connectivity
  • Part III. Numerical Methods
  • Numerical Methods for Linear Systems
  • 37. Vector and Matrix Norms, Error Analysis, Efficiency and Stability
  • 38. Matrix Factorizations, and Direct Solution of Linear Systems
  • 39. Least Squares Solution of Linear Systems
  • 40. Sparse Matrix Methods
  • 41. Iterative Solution Methods for Linear Systems
  • Numerical Methods for Eigenvalues
  • 42. Symmetric Matrix Eigenvalue Techniques
  • 43. Unsymmetric Matrix Eigenvalue Techniques
  • 44. The Implicitly Restarted Arnoldi Method
  • 45. Computation of the Singular Value Deconposition
  • 46. Computing Eigenvalues and Singular Values to High Relative Accuracy
  • Computational Linear Algebra
  • 47. Fast Matrix Multiplication
  • 48. Structured Matrix Computations
  • 49. Large-Scale Matrix Computations
  • Part IV. Applications
  • Applications to Optimization
  • 50. Linear Programming
  • 51. Semidefinite Programming
  • Applications to Probability and Statistics
  • 52. Random Vectors and Linear Statistical Models
  • 53. Multivariate Statistical Analysis
  • 54. Markov Chains
  • Applications to Analysis
  • 55. Differential Equations and Stability
  • 56. Dynamical Systems and Linear Algebra
  • 57. Control Theory
  • 58. Fourier Analysis
  • Applications to Physical and Biological Sciences
  • 59. Linear Algebra and Mathematical Physics
  • 60. Linear Algebra in Biomolecular Modeling
  • Applications to Computer Science
  • 61. Coding Theory
  • 62. Quantum Computation
  • 63. Information Retrieval and Web Search
  • 64. Signal Processing
  • Applications to Geometry
  • 65. Geometry
  • 66. Some Applications of Matrices and Graphs in Euclidean Geometry
  • Applications to Algebra
  • 67. Matrix Groups
  • 68. Group Representations
  • 69. Nonassociative Algebras
  • 70. Lie Algebras
  • Part V. Computational Software
  • Interactive Software for Linear Algebra
  • 71. MATLAB
  • 72. Linear Algebra in Maple
  • 73. Mathematica
  • Packages of Subroutines for Linear Algebra
  • 74. BLAS
  • 75. LAPACK
  • 76. Use of ARPACK and EIGS
  • 77. Summary of Software for Linear Algebra Freely Available on the Web
  • Glossary
  • Notation Index
  • Index