Polynomial time solvable algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix

Shenshen Gu
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引用次数: 5

Abstract

In the field of signal processing, many problems can be formulated as optimization problems. And most of these optimization problem can be further described in a formal form, that is binary quadratic programming problem(BQP). However, solving the BQP is proved to be NP-hard. Due to this reason, many novel algorithms have been proposed in order to improve the efficiency to solve the BQP [4]. In this paper, polynomial algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix is focused by taking advantage of the basic algorithm proposed in [1], [17], [3]. The basic algorithm is firstly reviewed and then this algorithm is modified to solve binary quadratic programming problems with Q being a tri-diagonal. Furthermore, by improving this algorithm, an algorithm is proposed to solve binary quadratic programming problems with Q being a five-diagonal matrix.
二元二次规划问题的多项式时间可解算法,其中Q为三对角或五对角矩阵
在信号处理领域,许多问题都可以表述为优化问题。这些优化问题大多可以进一步用一种形式化的形式来描述,即二元二次规划问题。然而,求解BQP被证明是np困难的。因此,为了提高求解BQP的效率,人们提出了许多新的算法[4]。本文利用文献[1]、[17]、[3]中提出的基本算法,重点研究了Q为三对角或五对角矩阵的二元二次规划问题的多项式算法。首先回顾了基本算法,然后对该算法进行了改进,以解决Q为三对角线的二元二次规划问题。进一步,通过改进该算法,提出了一种求解Q为五对角矩阵的二元二次规划问题的算法。
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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