000 | 02053nam a22003735i 4500 | ||
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001 | u377104 | ||
003 | SIRSI | ||
005 | 20160812084446.0 | ||
007 | cr nn 008mamaa | ||
008 | 110128s2011 gw | s |||| 0|eng d | ||
020 |
_a9783834898296 _9978-3-8348-9829-6 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aT57-57.97 | |
082 | 0 | 4 |
_a519 _223 |
100 | 1 |
_aMahlke, Debora. _eauthor. |
|
245 | 1 | 2 |
_aA Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs _h[recurso electrónico] : _bWith Application in Energy Production / _cby Debora Mahlke. |
264 | 1 |
_aWiesbaden : _bVieweg+Teubner, _c2011. |
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300 |
_aXVI, 182p. 14 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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520 | _aOptimization 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 | _aMathematics. | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aApplications of Mathematics. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783834814098 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-8348-9829-6 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c204984 _d204984 |