表脸 发表于 2025-3-23 10:13:27
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distances from each other. Many feasibility-seeking algorithms rely on optimizing a phase 1 objective that minimizes a penalty function, reaching zero at a feasible point. This is just as tricky as solving any NLP, and is subject to the same difficulties, such as the possibility of multiple local opCRANK 发表于 2025-3-24 02:50:04
linear programming cannot be used directly since it yields fractional values for the integer variables. The initial temptation is to relax the integrality restrictions, solve as an LP and simply round the solutions for the integer variables to the closest integer values. This frequently causes consSENT 发表于 2025-3-24 09:41:54
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http://reply.papertrans.cn/83/8248/824724/824724_19.png消音器 发表于 2025-3-25 00:10:01
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