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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Format: | Texto biblioteca |
Language: | eng |
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New York, NY : Springer New York : Imprint: Springer,
2004
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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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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 |
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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. |
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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] / |
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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 AT springerlinkonlineservice introductiontooptimizationelectronicresource |
_version_ |
1756268945845780480 |