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A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs With Application in Energy Production /
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 prac...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Wiesbaden :
Vieweg+Teubner Verlag : Imprint: Vieweg+Teubner Verlag,
2011.
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| Edición: | 1st ed. 2011. |
| Colección: | Stochastic Programming,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-8348-9829-6 | ||
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| 020 | |a 9783834898296 |9 978-3-8348-9829-6 | ||
| 024 | 7 | |a 10.1007/978-3-8348-9829-6 |2 doi | |
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| 100 | 1 | |a Mahlke, Debora. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 2 | |a A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs |h [electronic resource] : |b With Application in Energy Production / |c by Debora Mahlke. |
| 250 | |a 1st ed. 2011. | ||
| 264 | 1 | |a Wiesbaden : |b Vieweg+Teubner Verlag : |b Imprint: Vieweg+Teubner Verlag, |c 2011. | |
| 300 | |a XVI, 182 p. 14 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Stochastic Programming, |x 2945-8781 | |
| 520 | |a 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. | ||
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Mathematics. | |
| 650 | 1 | 4 | |a Probability Theory. |
| 650 | 2 | 4 | |a Mathematics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783834814098 |
| 830 | 0 | |a Stochastic Programming, |x 2945-8781 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-8348-9829-6 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||