Introduction to Optimization:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2004
|
Schriftenreihe: | Texts in Applied Mathematics
46 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 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 |
Beschreibung: | 1 Online-Ressource (X, 246 p) |
ISBN: | 9780387216805 9781441923349 |
ISSN: | 0939-2475 |
DOI: | 10.1007/b97412 |
Internformat
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500 | |a 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 | ||
650 | 4 | |a Mathematics | |
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Datensatz im Suchindex
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any_adam_object | |
author | Pedregal, Pablo |
author_facet | Pedregal, Pablo |
author_role | aut |
author_sort | Pedregal, Pablo |
author_variant | p p pp |
building | Verbundindex |
bvnumber | BV042418952 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA ZDB-2-BAE |
ctrlnum | (OCoLC)846142431 (DE-599)BVBBV042418952 |
dewey-full | 519.6 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.6 |
dewey-search | 519.6 |
dewey-sort | 3519.6 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/b97412 |
format | Electronic eBook |
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isbn | 9780387216805 9781441923349 |
issn | 0939-2475 |
language | English |
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spelling | Pedregal, Pablo Verfasser aut Introduction to Optimization by Pablo Pedregal New York, NY Springer New York 2004 1 Online-Ressource (X, 246 p) txt rdacontent c rdamedia cr rdacarrier Texts in Applied Mathematics 46 0939-2475 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 Mathematical optimization Microwaves Operations research Optimization Theoretical, Mathematical and Computational Physics Microwaves, RF and Optical Engineering Operation Research/Decision Theory Mathematik Optimierung (DE-588)4043664-0 gnd rswk-swf Optimierung (DE-588)4043664-0 s 1\p DE-604 https://doi.org/10.1007/b97412 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Pedregal, Pablo Introduction to Optimization Mathematics Mathematical optimization Microwaves Operations research Optimization Theoretical, Mathematical and Computational Physics Microwaves, RF and Optical Engineering Operation Research/Decision Theory Mathematik Optimierung (DE-588)4043664-0 gnd |
subject_GND | (DE-588)4043664-0 |
title | Introduction to Optimization |
title_auth | Introduction to Optimization |
title_exact_search | Introduction to Optimization |
title_full | Introduction to Optimization by Pablo Pedregal |
title_fullStr | Introduction to Optimization by Pablo Pedregal |
title_full_unstemmed | Introduction to Optimization by Pablo Pedregal |
title_short | Introduction to Optimization |
title_sort | introduction to optimization |
topic | Mathematics Mathematical optimization Microwaves Operations research Optimization Theoretical, Mathematical and Computational Physics Microwaves, RF and Optical Engineering Operation Research/Decision Theory Mathematik Optimierung (DE-588)4043664-0 gnd |
topic_facet | Mathematics Mathematical optimization Microwaves Operations research Optimization Theoretical, Mathematical and Computational Physics Microwaves, RF and Optical Engineering Operation Research/Decision Theory Mathematik Optimierung |
url | https://doi.org/10.1007/b97412 |
work_keys_str_mv | AT pedregalpablo introductiontooptimization |