applying a reduced gradient in quadratic programming |
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| Authors: | E A Kotel’nikov |
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| Institution: | 1. Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, pr. Akad. Lavrent’ eva 6, Novosibirsk, 630090, Russia
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| Abstract: | This paper considers specific aspects of implementing an algorithm for solving problems of quadratic programming, which is based on a reduced gradient method. In the subspace of superbasis variables, minimization is carried out by a conjugate gradient method. Some examples of solving test problems are given. |
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