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A Linear Relaxation Algorithm for Solving the Sum of Linear Ratios Problem with Lower Dimension

机译:求解低维线性比和的线性松弛算法

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摘要

In this talk, we will present an algorithm for solving the sum-of-linear-ratios problem based on a linear relaxation of the objective function. When the number of ratios becomes large, the existing algorithms are unable to solve the problem efficiently. We focus on the problem with Lower Dimension. Our numerical experiments indicate that the proposed algorithm in this talk is superior to these existing algorithms when the number of ratios is large.
机译:在本次演讲中,我们将提出一种基于目标函数的线性松弛来求解线性比率和问题的算法。当比率的数量变大时,现有算法无法有效解决该问题。我们重点关注“低尺寸”问题。我们的数值实验表明,当比率的数量很大时,本文中提出的算法要优于这些现有算法。

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