Results 11 to 20 of about 19,699 (306)
Strong Convergence of Modified Algorithms Based on the Regularization for the Constrained Convex Minimization Problem [PDF]
Abstract and Applied Analysis, 2014 As is known, the regularization method plays an important role in solving constrained convex minimization problems. Based on the idea of regularization, implicit and explicit iterative algorithms are proposed in this paper and the sequences generated by ...
Ming Tian, Jun-Ying Gong
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Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems [PDF]
Journal of Function Spaces and Applications, 2012 It is well known that the gradient-projection algorithm (GPA) for solving constrained convex minimization problems has been proven to have only weak convergence unless the underlying Hilbert space is finite dimensional.
Lu-Chuan Ceng, Ching-Feng Wen
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Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method
Advances in Multimedia, 2014 Image deblurring is formulated as an unconstrained minimization problem, and its penalty function is the sum of the error term and TVp-regularizers with ...
Su Xiao
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SVD as a preconditioner in nonlinear optimization
Computer Assisted Methods in Engineering and Science, 2017 Finding a solution of nonlinear constrained optimization problem may be very computer resources consuming, regardless of solution method adopted. A conceptually simple preconditioning procedure, based on singular value decomposition (SVD), is proposed ...
Michał Pazdanowski
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Journal of Inequalities and Applications, 2023 In this paper, a class of stochastic vector variational inequality (SVVI) problems are considered. By employing the idea of a D-gap function, the SVVI problem is reformulated as a deterministic model, which is an unconstrained expected residual ...
Dan-dan Dong, Guo-ji Tang, Hui-ming Qiu
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Minimal Load Constrained Vehicle Routing Problems [PDF]
, 2005 In this paper, the Capacitated Vehicle Routing Problem is extended to the case where each vehicle is restricted to an additional minimal starting or returning load constraint. We refer to this extension as the Minimal Load Constrained Vehicle Routing Problem. We present integer programming formulations for single and multidepot cases.
Imdat Kara, Tolga Bektas
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An efficient approach to constrained via minimization for two-layer VLSI routing [PDF]
, 1999 Constrained Via Minimization is the problem of reassigning wire segments of a VLSI routing so that the number of vias is minimized. In this paper, a new approach is proposed for two-layer VLSI routing. This approach is able to handle any types of routing,
Hon Nin Cheung +5 more
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An Augmented Penalization Algorithm for the Equality Constrained Minimization Problem
Trends in Computational and Applied Mathematics, 2002 In this contribution an iterative method for solving the nonlinear minimization problem with equality constraints is presented. The method is based on the sequential minimization of the differentiable penalization function known as augmented Lagrangian ...
M.C. MACIEL, G.N. SOTTOSANTO
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Minimizers of a Class of Constrained Vectorial Variational Problems: Part I. [PDF]
Milan Journal of Mathematics, 2014 In this paper, we prove the existence of minimizers of a class of multi-constrained variational problems. We consider systems involving a nonlinearity that does not satisfy compactness, monotonicity, neither symmetry properties. Our approach hinges on the concentration-compactness approach.
Hajaiej, Hichem +2 more
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An Objective Penalty Function-Based Method for Inequality Constrained Minimization Problem [PDF]
, 2018 For inequality constrained minimization problem, we first propose a new exact nonsmooth objective penalty function and then apply a smooth technique to the penalty function to make it smooth.
Shujun Lian, Sitong Meng, Yiju Wang
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