- We will send in 10–14 business days.
/images/books/13370701/9783834814098.jpg)
- Author: Debora Mahlke
- Publisher: Vieweg+Teubner Verlag
- Year: 2010
- Pages: 182
- ISBN-10: 3834814091
- ISBN-13: 9783834814098
- Format: 14.8 x 21 x 1.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs (e-book) (used book) | bookbook.eu
Reviews
Description
Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available.
Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora Mahlke formulates and analyzes multistage stochastic mixed-integer models. For their solution, the author proposes a novel decomposition approach which relies on the concept of splitting the underlying scenario tree into subtrees. Based on the formulated models from energy production, the algorithm is computationally investigated and the numerical results are discussed.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.20:57:48
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Debora Mahlke
- Publisher: Vieweg+Teubner Verlag
- Year: 2010
- Pages: 182
- ISBN-10: 3834814091
- ISBN-13: 9783834814098
- Format: 14.8 x 21 x 1.1 cm, minkšti viršeliai
- Language: English English
Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available.
Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora Mahlke formulates and analyzes multistage stochastic mixed-integer models. For their solution, the author proposes a novel decomposition approach which relies on the concept of splitting the underlying scenario tree into subtrees. Based on the formulated models from energy production, the algorithm is computationally investigated and the numerical results are discussed.
Reviews