记成蚂蚁
发表于 2025-3-25 03:34:36
Branch and BoundA widely used method to solve various kinds of difficult optimization problems is called branch and bound. In this technique, the feasible set is relaxed and subsequently split into parts (branching) over which lower (and often also upper) bounds of the objective function value can be determined (bounding).
教唆
发表于 2025-3-25 10:12:45
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apiary
发表于 2025-3-25 14:45:11
Successive Approximation MethodsIn the cutting plane methods discussed in the previous chapter, the feasible domain is reduced at each step by cutting off a feasible portion that is known to contain no better solution than the current best solution.
不适
发表于 2025-3-25 19:16:27
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ONYM
发表于 2025-3-25 20:35:45
https://doi.org/10.1007/978-3-662-03199-5Decision Theory; Entscheidungstheorie; Global Optimization; Mathematical Programming; Operations Researc
保守党
发表于 2025-3-26 00:57:30
978-3-642-08247-4Springer-Verlag Berlin Heidelberg 1996
挣扎
发表于 2025-3-26 07:18:18
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Crayon
发表于 2025-3-26 11:38:27
Introducing the Oscillations Based Paradigmart involving most of the variables of the problem, and a concave part involving only a relatively small number of variables. More precisely, these problems have the form . where f: ℝ. → ℝ is a concave function, ft is a polyhedron, d and y are vectors in ℝ., and n is generally much smaller than h.
Relinquish
发表于 2025-3-26 14:06:31
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雪上轻舟飞过
发表于 2025-3-26 17:49:07
Decomposition of Large Scale Problemsart involving most of the variables of the problem, and a concave part involving only a relatively small number of variables. More precisely, these problems have the form . where f: ℝ. → ℝ is a concave function, ft is a polyhedron, d and y are vectors in ℝ., and n is generally much smaller than h.