Solving a class of low rank d.c. programs via a branch and bound approach: A computational experience
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Software
Reference17 articles.
1. A finite algorithm for a particular d.c. quadratic programming problem;Cambini;Annals of Operations Research,2002
2. Decomposition methods for solving nonconvex quadratic programs via branch and bound;Cambini;Journal of Global Optimization,2005
3. A computational comparison of some branch and bound methods for indefinite quadratic programs;Cambini;Central European Journal of Operations Research,2008
4. An algorithm for separable nonconvex programming problems;Falk;Management Science,1969
5. Handbook of Test Problems in Local and Global Optimization;Floudas,1999
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1. Solving linear multiplicative programs via branch-and-bound: a computational experience;Computational Management Science;2023-08-29
2. A new SOCP relaxation of nonconvex quadratic programming problems with a few negative eigenvalues;Journal of Computational and Applied Mathematics;2023-05
3. A new branch-and-cut algorithm for non-convex quadratic programming via alternative direction method and semidefinite relaxation;Numerical Algorithms;2021-05-27
4. A New Global Optimization Scheme for Quadratic Programs with Low-Rank Nonconvexity;INFORMS Journal on Computing;2021-02-09
5. Global algorithm for solving linear multiplicative programming problems;Optimization Letters;2019-01-01
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