A boosted DC algorithm for non-differentiable DC components with non-monotone line search

We introduce a new approach to apply the boosted difference of convex functions algorithm (BDCA) for solving non-convex and non-differentiable problems involving difference of two convex functions (DC functions). Supposing the first DC component differentiable and the second one possibly non-differe...

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Vydané v:	Computational optimization and applications Ročník 88; číslo 3; s. 783 - 818
Hlavní autori:	Ferreira, O. P., Santos, E. M., Souza, J. C. O.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.07.2024 Springer Nature B.V Springer Verlag
Predmet:	Algorithms Complexity Computation Convex analysis Convex and Discrete Geometry Critical point Economics and Finance Humanities and Social Sciences Management Science Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Optimization Searching Statistics Boosted difference of convex functions algorithm 65K05 Kurdyka–Łojasiewicz property Non-monotone line search DC algorithm 65K10 90C26 DC function 47N10
ISSN:	0926-6003, 1573-2894
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