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Introduction to nonlinear optimization : theory, algorithms, and applications with MATLAB /
This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with vari...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Philadelphia, Pennsylvania :
Society for Industrial and Applied Mathematics,
2014.
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| Colección: | MOS-SIAM series on optimization.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Mathematical preliminaries
- Optimality conditions for unconstrained optimization
- Least squares
- The gradient method
- Newton's method
- Convex sets
- Convex functions
- Convex optimization
- Optimization over a convex set
- Optimality conditions for linearly constrained problems
- The KKT conditions
- Duality.