The Basic Algorithm for Zero-One Unconstrained Quadratic Programming Problem with k-diagonal Matrix

Shenshen Gu, Xinyi Chen
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引用次数: 2

Abstract

In real life, many problems can be expressed as zero-one quadratic programming problems. Therefore, it is of great significance to study how to solve the zero-one quadratic programming problem. In this paper, zero-one unconstrained quadratic programming problem with a special form is researched. We call it the k-diagonal matrix zero-one unconstrained quadratic programming problem. For this kind of special problem, targeted algorithm which is obtained by observing the characteristics of Q matrix is proposed. This paper shows the feasibility of the algorithm through derivation. And through practical examples, the algorithm is easy to be understood. In the experiments, the dimension of the problem and the value of k are changed so as to study the relationship between the speed of the algorithm and them. We can see that this algorithm is suitable for high dimensional problems and have considerable computational power.
具有k-对角矩阵的0 - 1无约束二次规划问题的基本算法
在现实生活中,许多问题都可以表示为0 - 1二次规划问题。因此,研究如何求解0 - 1二次规划问题具有十分重要的意义。本文研究了一类特殊形式的零- 1无约束二次规划问题。我们称之为k-对角矩阵零- 1无约束二次规划问题。针对这类特殊问题,提出了通过观察Q矩阵的特征得到的目标算法。本文通过推导证明了该算法的可行性。通过实例说明,该算法易于理解。在实验中,通过改变问题的维数和k的值来研究算法的速度与它们之间的关系。由此可见,该算法适用于高维问题,具有相当的计算能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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