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Linear Algebra and Its Applications, 4th Edition
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Linear Algebra and Its Applications, 4th Edition Hardcover - 2006

by Gilbert Strang

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  • Good
  • Hardcover

Description

Cengage Learning, 2006-01-01. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking
Used - Good
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Details

  • Title Linear Algebra and Its Applications, 4th Edition
  • Author Gilbert Strang
  • Binding Hardcover
  • Edition 4th
  • Condition Used - Good
  • Pages 544
  • Volumes 1
  • Language ENG
  • Publisher Cengage Learning, Australia
  • Date 2006-01-01
  • Illustrated Yes
  • Bookseller's Inventory # SKU0189418
  • ISBN 9780030105678 / 0030105676
  • Weight 2 lbs (0.91 kg)
  • Dimensions 9.37 x 7.52 x 0.9 in (23.80 x 19.10 x 2.29 cm)
  • Library of Congress subjects Algebras, Linear
  • Library of Congress Catalog Number 2005923623
  • Dewey Decimal Code 512.5

Summary

Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and applications. While giving you the necessary mathematics, the book is not entirely concentrated on theorems and proofs. Strang explains rather than deduces; the emphasis is on understanding. This book is written in an informal and personal style and teaches real mathematics. In Chapter 2, the gears change as you transition to vector spaces. Throughout the book, the theory is motivated and reinforced by interesting and important applications.

Table of contents

1. MATRICES AND GAUSSIAN ELIMINATION.Introduction. The Geometry of Linear Equations. An Example of Gaussian Elimination. Matrix Notation and Matrix Multiplication. Triangular Factors and Row Exchanges. Inverses and Transposes. Special Matrices and Applications. Review Exercises.2. VECTOR SPACES.Vector Spaces and Subspaces. The Solution of m Equations in n Unknowns. Linear Independence, Basis, and Dimension. The Four Fundamental Subspaces. Networks and Incidence Matrices. Linear Transformations. Review Exercises.3. ORTHOGONALITY.Perpendicular Vectors and Orthogonal Subspaces. Inner Products and Projections onto Lines. Least Squares Approximations. Orthogonal Bases, Orthogonal Matrices, and Gram-Schmidt Orthogonalization. The Fast Fourier Transform. Review and Preview. Review Exercises.4. DETERMINANTS.Introduction. Properties of the Determinant. Formulas for the Determinant. Applications of Determinants. Review Exercises.5. EIGENVALUES AND EIGENVECTORS.Introduction. Diagonalization of a Matrix. Difference Equations and the Powers Ak. Differential Equations and the Exponential eAt. Complex Matrices: Symmetric vs. Hermitian. Similarity Transformations. Review Exercises.6. POSITIVE DEFINITE MATRICES.Minima, Maxima, and Saddle Points. Tests for Positive Definiteness. The Singular Value Decomposition. Minimum Principles. The Finite Element Method.7. COMPUTATIONS WITH MATRICES.Introduction. The Norm and Condition Number. The Computation of Eigenvalues. Iterative Methods for Ax = b.8. LINEAR PROGRAMMING AND GAME THEORY.Linear Inequalities. The Simplex Method. Primal and Dual Programs. Network Models. Game Theory.Appendix A: Computer Graphics.Appendix B: The Jordan Form.References.Solutions to Selected Exercises.Index.