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Titlebook: Computational Practice in Mathematical Programming; M. L. Balinski,Eli Hellerman Book 1975Latest edition Springer-Verlag Berlin Heidelberg

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31#
發(fā)表于 2025-3-27 00:23:38 | 只看該作者
Computational Practice in Mathematical Programming978-3-642-00766-8Series ISSN 0303-3929 Series E-ISSN 2364-8201
32#
發(fā)表于 2025-3-27 04:48:08 | 只看該作者
33#
發(fā)表于 2025-3-27 08:23:40 | 只看該作者
34#
發(fā)表于 2025-3-27 12:19:32 | 只看該作者
35#
發(fā)表于 2025-3-27 15:19:49 | 只看該作者
Robert Handfield,Daniel J. FinkenstadtThis note describes a new accuracy test for the Forrest-Tomlin method for updating triangular factors of the basis, based on standard error analysis techniques. This test has proved very useful in practice when the method is applied to digitally unstable models.
36#
發(fā)表于 2025-3-27 19:33:03 | 只看該作者
,An exact update for Harris’ TREAD,The purpose of this paper is to show how Harris’ TREAD value can be computed without approximation.
37#
發(fā)表于 2025-3-28 00:00:09 | 只看該作者
38#
發(fā)表于 2025-3-28 04:01:35 | 只看該作者
https://doi.org/10.1007/978-0-387-72776-9 the experimental results with the number of segments as the dependent variable. The independent variables are the percentage of the true optimal objective function to be attained, the number of variables, and the ratio of the number of variables to the number of constraints. A multiple correlation
39#
發(fā)表于 2025-3-28 07:28:56 | 只看該作者
40#
發(fā)表于 2025-3-28 11:11:06 | 只看該作者
A simulation study of the error produced by approximation in separable concave programming, the experimental results with the number of segments as the dependent variable. The independent variables are the percentage of the true optimal objective function to be attained, the number of variables, and the ratio of the number of variables to the number of constraints. A multiple correlation
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