Computational Stochastic Programming: Models, Algorithms, and Implementation

Ntaimo, Lewis

ISBN 10: 3031524624 / ISBN 13: 9783031524622

Edité par Springer Nature, 2024

A propos de cet article

527 pages. 9.25x6.10x1.13 inches. In Stock. N° de réf. du vendeur x-3031524624

Détails bibliographiques

Titre : Computational Stochastic Programming: Models...

Éditeur : Springer Nature

Date d'édition : 2024

Reliure : Hardcover

Etat : Brand New

A propos de ce titre

Synopsis :

This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation. The purpose of this book is to provide a foundational and thorough treatment of the subject with a focus on models and algorithms and their computer implementation. The book's most important features include a focus on both risk-neutral and risk-averse models, a variety of real-life example applications of stochastic programming, decomposition algorithms, detailed illustrative numerical examples of the models and algorithms, and an emphasis on computational experimentation. With a focus on both theory and implementation of the models and algorithms for solving practical optimization problems, this monograph is suitable for readers with fundamental knowledge of linear programming, elementary analysis, probability and statistics, and some computer programming background. Several examples of stochastic programming applications areincluded, providing numerical examples to illustrate the models and algorithms for both stochastic linear and mixed-integer programming, and showing the reader how to implement the models and algorithms using computer software.