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A New Penalty Method for Nonlinear Programming
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Decrease of the Penalty Parameter in Differentiable Penalty Function Methods
We propose a simple modification to the differentiable penalty methods for solving nonlinear programming problems. This modification decreases the penalty parameter and the ill-conditioning of the penalty method and leads to a faster convergence to the optimal solution.
Roohollah Aliakbari Shandiz +1 more
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Research on solid shell element based on penalty method. [PDF]
Xintao L, Yongtao W.
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The rank constrained nonconvex nonsmooth matrix optimization problem is an important and challenging issue. To solve it, we first design a penalty model in which the penalty term can be expressed as a sum of specific functions defined on smallest ...
Zhang Wenjuan +4 more
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Biclustering Methods via Sparse Penalty
This research it still in progress and need to fix some ...
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Numerical investigation of nonlinear deformations with contact interaction
The paper is devoted to the development of a computational algorithm for investigation of finite deformations of solids with contact interaction. The algorithm is based on the master-slave approach.
A.I. Abdrakhmanova, L.U. Sultanov
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PENALTY METHOD FOR UNILATERAL CONTACT PROBLEM WITH COULOMB’S FRICTION FOR LOCKING MATERIAL [PDF]
In this work, we study a unilateral contact problem with non local friction of Coulombbetween a locking material and a rigid foundation. In the first step , we present the mathematicalmodel for a static process, we establish the variational formulation ...
Salah Bourichi, El Essoufi
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Penalty parameter of the penalty function method
The penalty parameter of penalty function method is systematically analyzed and discussed. For the problem that Deb's feasibility-based rule doesnot give the detailed instruction as how to rank two solutions when they have the same constraint violation, an improved Deb's feasibility-based rule is presented, which can be seen as a reference standard ...
Si, Cheng Yong +4 more
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In this study, we deal with a multivalued elliptic variational inequality involving a logarithmic perturbed variable exponents double-phase operator. Additionally, it features a multivalued convection term alongside two multivalued terms, one defined ...
Cen Jinxia +3 more
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Minimal penalty for Goldenshluger–Lepski method
This paper is concerned with adaptive nonparametric estimation using the Goldenshluger-Lepski selection method. This estimator selection method is based on pairwise comparisons between estimators with respect to some loss function. The method also involves a penalty term that typically needs to be large enough in order that the method works (in the ...
Lacour, Claire, Massart, Pascal
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