Introduction to Matrix Analysis 2/e


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By Richard Bellman
Imprint:
SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
Release Date:
Format:
PAPERBACK
Dimensions:
229 x 152 mm
Weight:
580 g
Pages:
431

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Description

Foreword Preface to the Second Edition Preface Chapter 1: Maximization, Minimization, and Motivation Chapter 2: Vectors and Matrices Chapter 3: Diagonalization and Canonical Forms for Symmetric Matrices Chapter 4: Reduction of General Symmetric Matrices to Diagonal Form Chapter 5: Constrained Maxima Chapter 6: Functions of Matrices Chapter 7: Variational Description of Characteristic Roots Chapter 8: Inequalities Chapter 9: Dynamic Programming Chapter 10: Matrices and Differential Equations Chapter 11: Explicit Solutions and Canonical Forms Chapter 12: Symmetric Function, Kronecker Products and Circulants Chapter 13: Stability Theory Chapter 14: Markoff Matrices and Probability Theory Chapter 15: Stochastic Matrices Chapter 16: Positive Matrices, Perron's Theorem, and Mathematical Economics Chapter 17: Control Processes Chapter 18: Invariant Imbedding Chapter 19: Numerical Inversion of the Laplace Transform and Tychonov Regularization Appendix A: Linear Equations and Rank Appendix B: The Quadratic Form of Selberg Appendix C: A Method of Hermite Appendix D: Moments and Quadratic Forms Index.

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