This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in globa
[Nonconvex Optimization and Its Applications] Mathematical Theory of Optimization Volume 56 || Interior Point Methods
β Scribed by Du, Ding-Zhu; Pardalos, Panos M.; Wu, Weili
- Book ID
- 120478953
- Publisher
- Springer US
- Year
- 2001
- Tongue
- English
- Weight
- 921 KB
- Edition
- 1
- Category
- Article
- ISBN
- 1475757956
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β¦ Synopsis
This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems.
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This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in globa
This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in globa