Numerical optimization

By:

Nocedal, Jorge

Contributor(s):

Stephen J.Wright

Material type: Text

9780387227429
0387227423
9780387987934
0387987932

Subject(s):

Mathematical optimization

DDC classification:

519.3 NOC

Contents:

Fundamentals of unconstrained optimization -- Line search methods -- Trust-region methods -- Conjugate gradient methods -- Practical newton methods -- Calculating derivatives -- Quasi-newton methods -- Large-scale quasi-newton and partially separable optimization -- Nonlinear least-squares problems -- Nonlinear equations -- Theory of constrained optimization -- Linear programming: the simplex method -- Linear programming interior-point methods -- Fundamentals of algorithms for nonlinear constrained optimization -- Quadratic programming -- Penalty, barrier, and augmented largrangian methods -- Sequential quadratic programming.

Summary: "Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems."--BOOK JACKET. "Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field."--Jacket

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	519.3 NOC (Browse shelf(Opens below))	Available		009881

Total holds: 0

Includes Index

Fundamentals of unconstrained optimization --
Line search methods --
Trust-region methods --
Conjugate gradient methods --
Practical newton methods --
Calculating derivatives --
Quasi-newton methods --
Large-scale quasi-newton and partially separable optimization --
Nonlinear least-squares problems --
Nonlinear equations --
Theory of constrained optimization --
Linear programming: the simplex method --
Linear programming interior-point methods --
Fundamentals of algorithms for nonlinear constrained optimization --
Quadratic programming --
Penalty, barrier, and augmented largrangian methods --
Sequential quadratic programming.

"Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems."--BOOK JACKET. "Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field."--Jacket

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