Stochastic Dynamic Programming

This text gives a comprehensive coverage of how optimization problems involving decisions and uncertainty may be handled by the methodology of Stochastic Dynamic Programming (SDP). A rapidly changing world with seemingly growing uncertainty needs a modern approach to this classic methodology. The bo...

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Huvudupphov: Kjetil Kåre Haugen
Materialtyp: Online
Språk:engelska
Utgiven: Scandinavian University Press (Universitetsforlaget) 2021
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Länkar:26646
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author Kjetil Kåre Haugen
author_browse Kjetil Kåre Haugen
author_facet Kjetil Kåre Haugen
author_sort Kjetil Kåre Haugen
collection Directory of Open Access Books
description This text gives a comprehensive coverage of how optimization problems involving decisions and uncertainty may be handled by the methodology of Stochastic Dynamic Programming (SDP). A rapidly changing world with seemingly growing uncertainty needs a modern approach to this classic methodology. The book treats discrete, as well as continuous problems, all illustrated by relevant real world examples. The book presents a comprehensive outline of SDP from its roots during World War II until today. Much of recent research are covered, as well as parts of the authors’ own original research. Algorithms and computer techniques are added when needed. The book may serve as a supplementary text book on SDP (preferably at the graduate level) given adequate added background material. Kjetil Kåre Haugen is a professor of Logistics and Sport Management at Molde University College, Specialized University in Logistics.
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publishDate 2021
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publisher Scandinavian University Press (Universitetsforlaget)
publisherStr Scandinavian University Press (Universitetsforlaget)
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spelling doab-20.500.12854ir-600462023-12-20T18:40:53Z Stochastic Dynamic Programming Kjetil Kåre Haugen QA75.5-76.95 QA273-280 QA1-939 bic Book Industry Communication::U Computing & information technology::UY Computer science This text gives a comprehensive coverage of how optimization problems involving decisions and uncertainty may be handled by the methodology of Stochastic Dynamic Programming (SDP). A rapidly changing world with seemingly growing uncertainty needs a modern approach to this classic methodology. The book treats discrete, as well as continuous problems, all illustrated by relevant real world examples. The book presents a comprehensive outline of SDP from its roots during World War II until today. Much of recent research are covered, as well as parts of the authors’ own original research. Algorithms and computer techniques are added when needed. The book may serve as a supplementary text book on SDP (preferably at the graduate level) given adequate added background material. Kjetil Kåre Haugen is a professor of Logistics and Sport Management at Molde University College, Specialized University in Logistics. 2021-02-12T04:34:55Z 2021-02-12T04:34:55Z 2018-05-02 16:53:55 2016 book 26646 9788215026718 9788215026701 https://directory.doabooks.org/handle/20.500.12854/60046 eng image/png Attribution 4.0 International https://www.universitetsforlaget.no/nettbutikk/stochastic-dynamic-programming-uf.html https://www.idunn.no/stochastic-dynamic-programming Scandinavian University Press (Universitetsforlaget) 10.18261/9788215026718-2016 10.18261/9788215026718-2016 85e3f3b2-1b54-434a-a3b6-6147724464f4 9788215026718 9788215026701 97 open access
spellingShingle QA75.5-76.95
QA273-280
QA1-939
bic Book Industry Communication::U Computing & information technology::UY Computer science
Kjetil Kåre Haugen
Stochastic Dynamic Programming
title Stochastic Dynamic Programming
title_full Stochastic Dynamic Programming
title_fullStr Stochastic Dynamic Programming
title_full_unstemmed Stochastic Dynamic Programming
title_short Stochastic Dynamic Programming
title_sort stochastic dynamic programming
topic QA75.5-76.95
QA273-280
QA1-939
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
QA273-280
QA1-939
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 26646
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