1985
DOI: 10.1007/bfb0121043
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Dual nested decomposition of staircase linear programs

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Cited by 27 publications
(19 citation statements)
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“…We found the multicut method due to Birge and Louveaux [4] also yielded computational savings over its single cut counterpart. Consistent with earlier findings of Abrahamson [1] and Wittrock [15] (in the deterministic case) and Gassmann [7] (in the stochastic case) we found that the fastpass tree traversing strategy performed well. However, a new class of (-cautious tree traversing strategies produced comparable results to fastpass; further investigation of this class of strategies may be warranted for problems with many stages.…”
supporting
confidence: 92%
See 1 more Smart Citation
“…We found the multicut method due to Birge and Louveaux [4] also yielded computational savings over its single cut counterpart. Consistent with earlier findings of Abrahamson [1] and Wittrock [15] (in the deterministic case) and Gassmann [7] (in the stochastic case) we found that the fastpass tree traversing strategy performed well. However, a new class of (-cautious tree traversing strategies produced comparable results to fastpass; further investigation of this class of strategies may be warranted for problems with many stages.…”
supporting
confidence: 92%
“…Tree Traversing Strategies For brevity, we refer to the nested Benders decomposition algorithm described in §3 as the shuffle tree traversing strategy. Abrahamson [1] and Wittrock [15] developed strategies other than shuffle for deterministic multistage linear programs; we consider two of these: fasipass and cautious. Gassmann [7] tested shuffle, fasipass, and cautious in the stochastic setting.…”
Section: Computational Resultsmentioning
confidence: 99%
“…In this figure, the fast-forward fast-backward tree traversing strategy [18] is used. A discussion on alternative tree traversing strategies (Shuffle, Cautious) can be found in [10] for instance.…”
Section: Matricesmentioning
confidence: 99%
“…The idea of 'nesting', or recursively applying DW decomposition, is described earlier in [14,9] for staircase or multi-stage linear programs. (For additional enhancements, see [27] and references cited therein.) The term 'nesting' is used here because SD is essentially DW decomposition generalized to nonlinear problems.…”
Section: Inmentioning
confidence: 99%
“…He would like to also thank Prof. Hearn for providing the data for this research, Prof. Ramana for suggesting the use of system optimal solutions, and Prof. Morton for Ref. [27].…”
Section: Acknowledgementsmentioning
confidence: 99%