Introduction to Optimization [electronic resource] /

This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful.

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Bibliographic Details
Main Authors: Pedregal, Pablo. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: New York, NY : Springer New York : Imprint: Springer, 2004
Subjects:Mathematics., Operations research., Decision making., Game theory., Mathematical optimization., Physics., Microwaves., Optical engineering., Game Theory, Economics, Social and Behav. Sciences., Optimization., Theoretical, Mathematical and Computational Physics., Microwaves, RF and Optical Engineering., Operation Research/Decision Theory.,
Online Access:http://dx.doi.org/10.1007/b97412
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spelling KOHA-OAI-TEST:2115372018-07-30T23:44:21ZIntroduction to Optimization [electronic resource] / Pedregal, Pablo. author. SpringerLink (Online service) textNew York, NY : Springer New York : Imprint: Springer,2004.eng This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful.Linear Programming -- Nonlinear Programming -- Approximation Techniques -- Variational Problems and Dynamic Programming -- Optimal Control. This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful.Mathematics.Operations research.Decision making.Game theory.Mathematical optimization.Physics.Microwaves.Optical engineering.Mathematics.Game Theory, Economics, Social and Behav. Sciences.Optimization.Theoretical, Mathematical and Computational Physics.Microwaves, RF and Optical Engineering.Operation Research/Decision Theory.Springer eBookshttp://dx.doi.org/10.1007/b97412URN:ISBN:9780387216805
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Operations research.
Decision making.
Game theory.
Mathematical optimization.
Physics.
Microwaves.
Optical engineering.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Optimization.
Theoretical, Mathematical and Computational Physics.
Microwaves, RF and Optical Engineering.
Operation Research/Decision Theory.
Mathematics.
Operations research.
Decision making.
Game theory.
Mathematical optimization.
Physics.
Microwaves.
Optical engineering.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Optimization.
Theoretical, Mathematical and Computational Physics.
Microwaves, RF and Optical Engineering.
Operation Research/Decision Theory.
spellingShingle Mathematics.
Operations research.
Decision making.
Game theory.
Mathematical optimization.
Physics.
Microwaves.
Optical engineering.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Optimization.
Theoretical, Mathematical and Computational Physics.
Microwaves, RF and Optical Engineering.
Operation Research/Decision Theory.
Mathematics.
Operations research.
Decision making.
Game theory.
Mathematical optimization.
Physics.
Microwaves.
Optical engineering.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Optimization.
Theoretical, Mathematical and Computational Physics.
Microwaves, RF and Optical Engineering.
Operation Research/Decision Theory.
Pedregal, Pablo. author.
SpringerLink (Online service)
Introduction to Optimization [electronic resource] /
description This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful.
format Texto
topic_facet Mathematics.
Operations research.
Decision making.
Game theory.
Mathematical optimization.
Physics.
Microwaves.
Optical engineering.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Optimization.
Theoretical, Mathematical and Computational Physics.
Microwaves, RF and Optical Engineering.
Operation Research/Decision Theory.
author Pedregal, Pablo. author.
SpringerLink (Online service)
author_facet Pedregal, Pablo. author.
SpringerLink (Online service)
author_sort Pedregal, Pablo. author.
title Introduction to Optimization [electronic resource] /
title_short Introduction to Optimization [electronic resource] /
title_full Introduction to Optimization [electronic resource] /
title_fullStr Introduction to Optimization [electronic resource] /
title_full_unstemmed Introduction to Optimization [electronic resource] /
title_sort introduction to optimization [electronic resource] /
publisher New York, NY : Springer New York : Imprint: Springer,
publishDate 2004
url http://dx.doi.org/10.1007/b97412
work_keys_str_mv AT pedregalpabloauthor introductiontooptimizationelectronicresource
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