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Introduction to Nonlinear and Global Optimization [recurso electrónico] / by Eligius M.T. Hendrix, Boglárka G.-Tóth.

Por: Hendrix, Eligius M.T [author.]Colaborador(es): G.-Tóth, Boglárka [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoSeries Springer Optimization and Its Applications ; 37Editor: New York, NY : Springer New York, 2010Descripción: XI, 208 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387886701Tema(s): Mathematics | Global differential geometry | Operations research | Mathematics | Calculus of Variations and Optimal Control, Optimization | Operations Research, Mathematical Programming | Differential GeometryFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 515.64 Clasificación LoC:QA315-316QA402.3QA402.5-QA402.6Recursos en línea: Libro electrónico Texto

Contenidos:

Mathematical modeling, cases -- NLP optimality conditions -- Goodness of optimization algorithms -- Nonlinear Programming algorithms -- Deterministic GO algorithms -- Stochastic GO algorithms.

En: Springer eBooksResumen: This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions. Key features of "Introduction to Nonlinear and Global Optimization": - Offers insights into relevant concepts such as "regions of attraction", "branch-and-bound", and "cross-cutting" methods as well as many other useful methodologies. -Exhibits numerical examples and exercises developing the reader’s familiarity with the terminology and algorithms that are frequently encountered in scientific literature. - Presents various heuristic and stochastic optimization techniques demonstrating how each be applied to a variety of models from biology, engineering, finance, chemistry, and economics. This book is intended to serve as a primary text in an advanced undergraduate or graduate course focusing on nonlinear and global optimization and requires an understanding of basic calculus and linear algebra.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	QA315 -316 (Browse shelf(Abre debajo))	1	No para préstamo		370322-2001

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Previo	QA313 Geometric Theory of Discrete Nonautonomous Dynamical Systems	QA313 Dynamics, Games and Science II	QA313 Distance Expanding Random Mappings, Thermodynamical Formalism, Gibbs Measures and Fractal Geometry	QA315 -316 Introduction to Nonlinear and Global Optimization	QA315 -316 Optimization and Optimal Control	QA315 -316 Variational Analysis and Generalized Differentiation in Optimization and Control	QA315 -316 Convex Analysis and Monotone Operator Theory in Hilbert Spaces	Siguiente

Mathematical modeling, cases -- NLP optimality conditions -- Goodness of optimization algorithms -- Nonlinear Programming algorithms -- Deterministic GO algorithms -- Stochastic GO algorithms.

This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions. Key features of "Introduction to Nonlinear and Global Optimization": - Offers insights into relevant concepts such as "regions of attraction", "branch-and-bound", and "cross-cutting" methods as well as many other useful methodologies. -Exhibits numerical examples and exercises developing the reader’s familiarity with the terminology and algorithms that are frequently encountered in scientific literature. - Presents various heuristic and stochastic optimization techniques demonstrating how each be applied to a variety of models from biology, engineering, finance, chemistry, and economics. This book is intended to serve as a primary text in an advanced undergraduate or graduate course focusing on nonlinear and global optimization and requires an understanding of basic calculus and linear algebra.