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A general algorithm for solving Generalized Geometric Programming with nonpositive degree of difficulty

机译:求解非正难度的广义几何规划的通用算法

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摘要

In this paper, a general algorithm for solving Generalized Geometric Programming with nonpositive degree of difficulty is proposed. It shows that under certain assumptions the primal problem can be transformed and decomposed into several subproblems which are easy to solve, and furthermore we verify that through solving these subproblems we can obtain the optimal value and solutions of the primal problem which are global solutions. At last, some examples are given to vindicate our conclusions.
机译:提出了一种求解非正难度的广义几何规划的通用算法。它表明,在一定的假设下,原始问题可以转化和分解为易于解决的几个子问题,此外,我们验证了通过解决这些子问题,我们可以获得原始问题的最优值和解,它们是全局解。最后,给出一些例子来证明我们的结论。

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