Page 16 - A Course in Linear Algebra with Applications
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Contents XV
Chapter Nine More Advanced Topics
9.1 Eigenvalues and Eigenvectors of Symmetric and
Hermitian Matrices 303
9.2 Quadratic Forms 313
9.3 Bilinear Forms 332
9.4 Minimum Polynomials and Jordan Normal
Form 347
Chapter Ten Linear Programming
10.1 Introduction to Linear Programming 370
10.2 The Geometry of Linear Programming 380
10.3 Basic Solutions and Extreme Points 391
10.4 The Simplex Algorithm 399
Appendix Mathematical Induction 415
Answers to the Exercises 418
Bibliography 430
Index 432
