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Télécharger le livre : Stochastic Optimization Methods
Kurt Marti
Stochastic Optimization Methods
This book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random parameter variations, where appropriate deterministic substitute...
Editeur : Springer
Parution : 2024-05-27

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158,24 €
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Télécharger le livre : Optimization Under Stochastic Uncertainty
Kurt Marti
Optimization Under Stochastic Uncertainty
This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease expense in corrective measures. Basic types of deterministic substitute problems occurring mostly in practice involve i) minimization of...
Editeur : Springer
Parution : 2020-11-10
Collection : International Series in Operations Research & Management Science
Format(s) : PDF, ePub
84,39 €
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Télécharger le livre : Stochastic Optimization Methods
Kurt Marti
Stochastic Optimization Methods
This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic...
Editeur : Springer
Parution : 2015-02-21

Format(s) : ePub
147,69 €
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Télécharger le livre : Coping with Uncertainty
Yuri Ermoliev , Marek Makowski , Kurt Marti , Georg Pflug
Coping with Uncertainty
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools. A key issue concerns a vast variety of practically irreducible uncertainties, which challenge our traditional models and require new concepts and analytical tools. The...
Editeur : Springer
Parution : 2006-11-23
Collection : Lecture Notes in Economics and Mathematical Systems
Format(s) : PDF
94,94 €
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Télécharger le livre : Stochastic Optimization Methods
Kurt Marti
Stochastic Optimization Methods
Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the...
Editeur : Springer
Parution : 2005-12-05

Format(s) : PDF
105,49 €
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