| Description |
xvvii, 653 pages : illustrations ; 26 cm |
| Contents |
Pt. I. Foundations: Linear Methods. 1. Matrix Algebra. 2. Systems of Linear Equations -- Pt. II. Foundations: Nonlinear Methods. 3. Unconstrained Maximization and Minimization. 4. Constrained Maximization and Minimization -- Pt. III. Applications: Iterative Methods for Nonlinear Problems. 5. Solving Nonlinear Equations. 6. Solving Unconstrained Maximization and Minimization Problems -- Pt. IV. Applications: Constrained Optimization in Linear Models. 7. Linear Programming: Fundamentals. 8. Linear Programming: Extensions. 9. Linear Programming: Interior Point Methods -- Pt. V. Applications: Constrained Optimization in Nonlinear Models. 10. Nonlinear Programming: Fundamentals. 11. Nonlinear Programming: Duality and Computational Methods |
| Summary |
"Optimization: Foundations and Applications presents a series of approaches to the challenges faced by analysts who must find the best way to accomplish particular objectives, usually with the added complication of constraints on the available choices. Ronald E. Miller provides detailed coverage of both classical, calculus-based approaches and newer, computer-based iterative methods." "With special emphasis on questions most frequently asked by those encountering this material for the first time, Optimization: Foundations and Applications is an extremely useful resource for professionals in such areas as mathematics, engineering, economics and business, regional science, geography, sociology, political science, management and decision sciences, public policy analysis, and numerous other social sciences."--BOOK JACKET |
| Notes |
"A Wiley-Interscience publication." |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Also available in print |
|
Mode of access: World Wide Web |
|
Description based on print version record |
| Subject |
Mathematical optimization.
|
| LC no. |
99021921 |
| ISBN |
0471322423 (cloth : alk. paper) |
|
0471351695 (paperback: alk. paper) |
|
