Stochastic Programming
Stochastic Multi-Stage Optimization: At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming eBooks & eLearning
Posted by roxul at June 26, 2019
Pierre Carpentier, "Stochastic Multi-Stage Optimization: At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming"
English | ISBN: 3319181378 | 2015 | 362 pages | EPUB, PDF | 9 MB + 6 MB
English | ISBN: 3319181378 | 2015 | 362 pages | EPUB, PDF | 9 MB + 6 MB
Stochastic Programming: Modeling Decision Problems Under Uncertainty eBooks & eLearning
Posted by AvaxGenius at May 12, 2020
Stochastic Programming: Modeling Decision Problems Under Uncertainty by Willem K. Klein Haneveld
English | PDF(Repost),EPUB | 2020 | 255 Pages | ISBN : 3030292185 | 14.6 MB
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models.
Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms eBooks & eLearning
Posted by arundhati at Oct. 28, 2017
Yuping Huang, Panos M. Pardalos, "Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms"
2017 | ISBN-10: 1493967665 | 93 pages | EPUB | 2 MB
2017 | ISBN-10: 1493967665 | 93 pages | EPUB | 2 MB
Stochastic Programming: Modeling Decision Problems Under Uncertainty eBooks & eLearning
Posted by arundhati at Oct. 24, 2019
Klein Haneveld, Willem K., "Stochastic Programming: Modeling Decision Problems Under Uncertainty "
English | ISBN: 3030292185 | 2020 | 249 pages | PDF | 3 MB
English | ISBN: 3030292185 | 2020 | 249 pages | PDF | 3 MB
Shape Optimization under Uncertainty from a Stochastic Programming Point of View eBooks & eLearning
Posted by arundhati at Oct. 29, 2019
Harald Held, "Shape Optimization under Uncertainty from a Stochastic Programming Point of View"
English | ISBN: 3834809098 | 2009 | 148 pages | PDF | 2 MB
English | ISBN: 3834809098 | 2009 | 148 pages | PDF | 2 MB
Stochastic Programming Problems with Probability and Quantile Functions eBooks & eLearning
Posted by arundhati at Feb. 7, 2018
Andrey I. Kibzun, Yuri S. Kan, "Stochastic Programming Problems with Probability and Quantile Functions"
1996 | ISBN-10: 0471958158 | 316 pages | PDF | 4 MB
1996 | ISBN-10: 0471958158 | 316 pages | PDF | 4 MB
Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming eBooks & eLearning
Posted by arundhati at Oct. 29, 2019
Christian Küchler, "Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming"
English | ISBN: 3834809217 | 2009 | 184 pages | PDF | 3 MB
English | ISBN: 3834809217 | 2009 | 184 pages | PDF | 3 MB
Stochastic programming: The state of the art in honor of George B. Dantzig eBooks & eLearning
Posted by insetes at Aug. 1, 2019
Stochastic programming: The state of the art in honor of George B. Dantzig By George B. Dantzig (auth.), Gerd Infanger (eds.)
2011 | 362 Pages | ISBN: 1441916415 | PDF | 4 MB
2011 | 362 Pages | ISBN: 1441916415 | PDF | 4 MB
Stochastic Programming: Modeling Decision Problems Under Uncertainty eBooks & eLearning
Posted by hill0 at Nov. 16, 2019
Stochastic Programming: Modeling Decision Problems Under Uncertainty
(Graduate Texts in Operations Research)
by Willem K. Klein Haneveld
English | 2020 | ISBN: 3030292185 | 255 Pages | PDF | 3 MB
(Graduate Texts in Operations Research)
by Willem K. Klein Haneveld
English | 2020 | ISBN: 3030292185 | 255 Pages | PDF | 3 MB
Introduction to Stochastic Programming, Second Edition eBooks & eLearning
Posted by AvaxGenius at July 30, 2019
Introduction to Stochastic Programming, Second Edition by John R. Birge
English | PDF | 2011 | 500 Pages | ISBN : 1461402360 | 6.18 MB
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks.