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https://doi.org/10.52326/ic-ec...
Article . 2022 . Peer-reviewed
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A Method for Binary Quadratic Programming with Circulant Matrix

Authors: Daniela Istrati; Vasile Moraru; Sergiu Zaporojan;

A Method for Binary Quadratic Programming with Circulant Matrix

Abstract

Binary quadratic programming is a classical combinatorial optimization problem that has many real-world applications. This paper presents a method for solving the quadratic programming problem with circulant matrix by reformulating and relaxing it into a separable optimization problem. The proposed method determines local suboptimal solutions. To solve the relaxing problem, the DCA algorithm it is proposed to calculate the solutions, in the general case, only local suboptimal.

Country
Moldova (Republic of)
Related Organizations
Keywords

circulant matrix, Binary nonconvex quadratic problems, relaxed problem, Fourier matrix, separable programming, DC algorithm

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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