Results 11 to 20 of about 105 (103)
The exactness of the ℓ1 penalty function for a class of mathematical programs with generalized complementarity constraints [PDF]
In a mathematical program with generalized complementarity constraints (MPGCC), complementarity relation is imposed between each pair of variable blocks.
Yukuan Hu, Xin Liu
doaj +2 more sources
Implementation of LDG method for 3D unstructured meshes
This paper describes an implementation of the Local Discontinuous Galerkin method (LDG) applied to elliptic problems in 3D. The implementation of the major operators is discussed.
Filander A. Sequeira Chavarría +1 more
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An entropic regularization method for solving systems of fuzzy linear inequalities
Solving systems of fuzzy linear inequalities could lead to the solutions of fuzzy linear programs. It is shown that a system of fuzzy linear inequalities can be converted to a regular min‐max problem. An entropic regularization method is introduced for solving such a problem. Some computational results are included.
F. B. Liu
wiley +1 more source
Restrict-and-relax search for 0-1 mixed-integer programs
A highly desirable characteristic of methods for solving 0-1 mixed-integer programs is that they should be capable of producing high-quality solutions quickly.
Menal Guzelsoy +2 more
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A global method for some class of optimization and control problems
The problem of maximizing a nonsmooth convex function over an arbitrary set is considered. Based on the optimality condition obtained by Strekalovsky in 1987 an algorithm for solving the problem is proposed. We show that the algorithm can be applied to the nonconvex optimal control problem as well.
R. Enkhbat
wiley +1 more source
In this article, we propose a three-term conjugate gradient projection algorithm for solving constrained monotone nonlinear equations. The global convergence of the algorithm was established under suitable assumptions.
Auwal Bala Abubakar +2 more
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Branch-delete-bound algorithm for globally solving quadratically constrained quadratic programs
This paper presents a branch-delete-bound algorithm for effectively solving the global minimum of quadratically constrained quadratic programs problem, which may be nonconvex.
Hou Zhisong +3 more
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Convergence analysis of the iterative methods for quasi complementarity problems
In this paper, we consider the iterative methods for the quasi complementarity problems of the form where m is a point‐to‐point mapping and T is a continuous mapping from Rn into itself. The algorithms considered in this paper are general and unified ones, which include many existing algorithms as special cases for solving the complementarity problems.
Muhammad Aslam Noor
wiley +1 more source
A new smoothing method for solving nonlinear complementarity problems
In this paper, a new improved smoothing Newton algorithm for the nonlinear complementarity problem was proposed. This method has two-fold advantages. First, compared with the classical smoothing Newton method, our proposed method needn’t nonsingular of ...
Zhu Jianguang, Hao Binbin
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A New Filled Function for Global Optimization
The filled function method has recently become very popular in optimization theory, as it is an e cient and e ective method for finding the global minimizer of multimodal functions.
Şahiner Ahmet +2 more
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