Zobrazeno 1 - 10
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pro vyhledávání: '"Ugon, J."'
The variational inequality problem in finite-dimensional Euclidean space is addressed in this paper, and two inexact variants of the extragradient method are proposed to solve it. Instead of computing exact projections on the constraint set, as in pr
Externí odkaz:
http://arxiv.org/abs/2309.00648
In the present paper, we formulate two versions of Frank--Wolfe algorithm or conditional gradient method to solve the DC optimization problem with an adaptive step size. The DC objective function consists of two components; the first is thought to be
Externí odkaz:
http://arxiv.org/abs/2308.16444
There are many methods to find a maximum (or maximal) clique in large networks. Due to the nature of combinatorics, computation becomes exponentially expensive as the number of vertices in a graph increases. Thus, there is a need for efficient algori
Externí odkaz:
http://arxiv.org/abs/2207.13010
Cycles have many interesting properties and are widely studied in many disciplines. In some areas, maximising the counts of $k$-cycles are of particular interest. A natural candidate for the construction method used to maximise the number of subgraph
Externí odkaz:
http://arxiv.org/abs/2207.13007
In this paper, we propose a new algorithm combining the Douglas-Rachford (DR) algorithm and the Frank-Wolfe algorithm, also known as the conditional gradient (CondG) method, for solving the classic convex feasibility problem. Within the algorithm, wh
Externí odkaz:
http://arxiv.org/abs/2105.13005
In this paper we develop an optimisation based approach to multivariate Chebyshev approximation on a finite grid. We consider two models: multivariate polynomial approximation and multivariate generalised rational approximation. In the second case th
Externí odkaz:
http://arxiv.org/abs/2101.11786
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Publikováno v:
In Applied Mathematics and Computation 15 January 2021 389
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