Articles liés à Stochastic Linear Programming: Models, Theory, and...
Synopsis
This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup. To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors’ SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field. From Reviews of the First Edition: "The book presents a comprehensive study of stochastic linear optimization problems and their applications. … The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. … The authors have made an effort to collect … the most useful recent ideas and algorithms in this area. … A guide to the existing software is included as well." (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c) "This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written. … This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication. … It is evident that this book will constitute an obligatory reference source for the specialists of the field." (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007)
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Présentation de l'éditeur
This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC's and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup. To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors' SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field. From Reviews of the First Edition: "The book presents a comprehensive study of stochastic linear optimization problems and their applications . . . The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms . . . The authors have made an effort to collect . . . the most useful recent ideas and algorithms in this area. A guide to the existing software is included as well" (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c) "This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written . . . This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication . . . It is evident that this book will constitute an obligatory reference source for the specialists of the field" (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007)
Présentation de l'éditeur
Authored by two of the field’s most prominent researchers, this new edition has been comprehensively updated, with new material on contemporary models and methods including stochastic DEA models, material on Sharpe-ratio, and asset liability management.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Stochastic Linear Programming
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Authors are two of the most prominent researchers in the fieldEnd-of-chapter exercises will now be addedBrings field completely up to date, with new models, citations, and referencesThis new edition of Stochastic Linear Programming:. N° de réf. du vendeur 4197727
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Stochastic Linear Programming
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC's and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup.To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors' SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field.From Reviews of the First Edition:'The book presents a comprehensive study of stochastic linear optimization problems and their applications. . The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. . The authors have made an effort to collect . the most useful recent ideas and algorithms in this area. . A guide to the existing software is included as well.' (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c)'This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written. . This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication. . It is evident that this book will constitute an obligatory reference source for the specialists of the field.' (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007) 448 pp. Englisch. N° de réf. du vendeur 9781461427452
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Stochastic Linear Programming: Models, Theory, and Computation (International Series in Operations Research & Management Science, 156)
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Stochastic Linear Programming
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC¿s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup. To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors¿ SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field. From Reviews of the First Edition: 'The book presents a comprehensive study of stochastic linear optimization problems and their applications. ¿ The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. ¿ The authors have made an effort to collect ¿ the most useful recent ideas and algorithms in this area. ¿ A guide to the existing software is included as well.' (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c) 'This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written. ¿ This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication. ¿ It is evident that this book will constitute an obligatory reference source for the specialists of the field.' (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007)Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. N° de réf. du vendeur 9781461427452
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Stochastic Linear Programming : Models, Theory, and Computation
Edité par
Springer US, Springer US, 2012
ISBN 10 : 1461427452
ISBN 13 : 9781461427452
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC's and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup.To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors' SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field.From Reviews of the First Edition:'The book presents a comprehensive study of stochastic linear optimization problems and their applications. . The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. . The authors have made an effort to collect . the most useful recent ideas and algorithms in this area. . A guide to the existing software is included as well.' (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c)'This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written. . This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication. . It is evident that this book will constitute an obligatory reference source for the specialists of the field.' (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007). N° de réf. du vendeur 9781461427452
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Stochastic Linear Programming : Models, Theory, and Computation
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Stochastic Linear Programming: Models, Theory, and Computation
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ISBN 10 : 1461427452
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