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Benders' decomposition : ウィキペディア英語版
Benders' decomposition
Benders' decomposition (or Benders's decomposition) is a technique in mathematical programming that allows the solution of very large linear programming problems that have a special block structure. This block structure often occurs in applications such as stochastic programming. The technique is named after Jacques F. Benders.
As it progresses towards a solution, Benders' decomposition adds new ''constraints'', so the approach is called "''row'' generation". In contrast, Dantzig–Wolfe decomposition uses "''column'' generation".
==See also==

* FortSP solver uses Benders' decomposition for solving stochastic programming problems

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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