Introduction to nonlinear optimization : theory, algorithms and applications with Python and MATLAB / Amir Beck
Series MOS-SIAM series on optimizationDetalles de publicación: Philadelphia : Society for Industrial and Applied Mathematics, 2023Edición: Second editionDescripción: xxi, 351 pages : illustrations (some color)Tipo de contenido:- text
- unmediated
- volume
- 9781611977615
- MATLAB
- Mathematical optimization
- Nonlinear theories
- Functional analysis -- Miscellaneous applications of functional analysis -- Applications in optimization, convex analysis, mathematical programming, economics
- Calculus of variations and optimal control; optimization -- Optimality conditions -- None of the above, but in this section
- 519.7
Contenidos:
Resumen: "This book is a modern introduction to the area of optimization. Its objective is to provide the foundations of theory and algorithms of nonlinear optimization, as well as to present a variety of applications from diverse areas of applied sciences"-- Provided by publisher.
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 constrined problems -- The KKT conditions -- Duality.
| Tipo de ítem | Biblioteca | Colección | Clasificación | Copia | Estado | Código de barras | |
|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Rancagua | Colección General | 519.7 B393i 2023 | 1 | Disponible | 35672011214 | |
| Libro | Biblioteca Rancagua | Colección General | 519.7 B393i 2023 | 2 | Disponible | 35672011215 | |
| Libro | Biblioteca Rancagua | Colección General | 519.7 B393i 2023 | 3 | Disponible | 35672011216 |
Includes bibliographical references (pages 434-347) and index.
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 constrined problems -- The KKT conditions -- Duality.
"This book is a modern introduction to the area of optimization. Its objective is to provide the foundations of theory and algorithms of nonlinear optimization, as well as to present a variety of applications from diverse areas of applied sciences"-- Provided by publisher.