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Numerical optimization / Jorge Nocedal, Stephen J. Wright.

Por: Colaborador(es): Series Springer series in operations researchDetalles de publicación: New York : Springer, 2006.Edición: 2nd editionDescripción: xxii, 664 pages : illustrationsTipo de contenido:
  • text
Tipo de medio:
  • unmediated
Tipo de soporte:
  • volume
ISBN:
  • 9781493937110
Materia(s): Clasificación:
  • 519.6 22
Contenidos:
Introduction --- Fundamentals of unconstrained optimization -- Line search methods -- Trust-region methods -- Conjugate gradient methods -- Quasi-Newton methods -- Large-Scale unconstrained optimization -- Calculating derivatives -- Derivative-free optimization -- Least- squares problems -- Nonlinear equations -- Theory of constrained optimiztion -- Linear programming: the simplex method -- Linear programming: interior-point methods -- Fundamentals of algorithms for nonlinear constrined optimization -- Quadratic programming -- Penalty and augmented lagrangian methods -- Sequential quadratic programming -- Interior-point methods for nonlinear programming -- Background material -- A regularization procedure.
Copias
Tipo de ítem Biblioteca Colección Clasificación Copia Estado Código de barras
Libro Biblioteca Rancagua Colección General 519.6 N756o 2006 1 Disponible 35672011170
Libro Biblioteca Rancagua Colección General 519.6 N756o 2006 2 Disponible 35672011171
Libro Biblioteca Rancagua Colección General 519.6 N756o 2006 3 Disponible 35672011172

Includes bibliographical references (p. [637]-652) and index.

Introduction --- Fundamentals of unconstrained optimization -- Line search methods -- Trust-region methods -- Conjugate gradient methods -- Quasi-Newton methods -- Large-Scale unconstrained optimization -- Calculating derivatives -- Derivative-free optimization -- Least- squares problems -- Nonlinear equations -- Theory of constrained optimiztion -- Linear programming: the simplex method -- Linear programming: interior-point methods -- Fundamentals of algorithms for nonlinear constrined optimization -- Quadratic programming -- Penalty and augmented lagrangian methods -- Sequential quadratic programming -- Interior-point methods for nonlinear programming -- Background material -- A regularization procedure.

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