The wide scope of optimization mandates extensive interaction between variousdisciplines in the development of the methods and algorithms, and in their fruitful application to real-world problems. This book presents a discipline-independent view of optimization, providing opportunities for students to identify and apply algorithms, methods, and tools from the diverse areas of optimization to their own fields without getting into too much detail about the underlying theories. The second edition of this book includes two new chapters: a chapter on global optimization and a real-world case study that uses principles from each chapter. Implemented in a classroom setting or used for independent study Self-contained chapters that include problem sets and exercises Provides a thorough introduction to applied optimization with unique applications Introduces a number or important results in the field Includes an extensive bibliography at the end of each chapter Solutions manual available upon adoptions INDICE: Preface.- 1. Introduction.- 2. Linear Programming.- 3. Nonlinear Programming.- 4. Discrete Optimization.- 5. Optimization under Uncertainty.- 6.Multi-objective Optimization.- 7. Optimal Control and Dynamic Optimization.- Index.
- ISBN: 978-0-387-76634-8
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 320
- Fecha Publicación: 01/10/2008
- Nº Volúmenes: 1
- Idioma: Inglés