| Description |
xii, 448 pages : illustrations ; 24 cm |
| Contents |
Ch. 1. Introduction -- Ch. 2. Elements of convex analysis -- Ch. 3. Optimality conditions -- Ch. 4. Lagrangian duality -- Ch. 5. Unconstrained optimization of differentiable functions -- Ch. 6. Constrained optimization of differentiable functions -- Ch. 7. Nondifferentiable optimization -- App. A. Stability of set-constrained systems |
| Summary |
"Based on a decade's worth of notes the author compiled in successfully teaching the subject, this book will help readers to understand the mathematical foundations of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or construct numerical solution methods. It is a must for anyone genuinely interested in optimization."--BOOK JACKET |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Mathematical optimization.
|
|
Nonlinear theories.
|
| LC no. |
2005049614 |
| ISBN |
0691119155 (hbk.) |
|
9780691119151 (hbk.) |
|
