Optimization Theory

Description

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Optimization Theory is becoming a more and more important mathematical as well as interdisciplinary area, especially in the interplay between mathematics and many other sciences like computer science, physics, engineering, operations research, etc. This volume gives a comprehensive introduction into the theory of (deterministic) optimization on an advanced undergraduate and graduate level. One main feature is the treatment of both continuous and discrete optimization at the same place. This allows to study the problems under different points of view, supporting a better understanding of the entire field. Audience: The book can be adapted well as an introductory textbook into optimization theory on a basis of a two semester course; however, each of its parts can also be taught separately. Many exercises are included to increase the reader's understanding.

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1. Ebooks list page : 1608
2. Optimization Theory and Methods: Nonlinear Programming (Springer Optimization and Its Applications)
3. Practical Mathematical Optimization: An Introduction to Basic Optimization Theory
4. Optimization in Economic Theory
5. Introduction to the Theory of Nonlinear Optimization
6. Introduction to the Theory of Nonlinear Optimization
7. Combinatorial Optimization: Theory and Algorithms
8. Introduction to the Theory of Nonlinear Optimization
9. Combinatorial Optimization: Theory and Algorithms ...
10. Introduction to the Theory of Nonlinear Optimization
11. Global Optimization: From Theory to Implementation
12. Global Optimization: From Theory to Implementation
13. Engineering Optimization: Theory and Practice
14. Introduction to the Theory of Nonlinear Optimization
15. Optimization Theory with Applications: Donald A. Pierre
16. Optimization Theory: The Finite Dimensional Case