Results 31 to 40 of about 442,995 (188)
Penalty and reward contracts between a manufacturer and its logistics service provider [PDF]
, 2016 Contracts are used to coordinate disparate but interdependent members of the supply chain. Conflicting objectives of these members and lack of coordination among the members lead to inefficiencies in matching supply with demand.
Aktas, Emel, Ulengin, Fusun
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A class of objective filled penalty functions for minimax global optimization problem
Journal of Inequalities and ApplicationsThis research proposes a class of filled objective penalty functions for seeking global optimal solutions to minimax constrained optimization problems. A class of objective penalty functions is constructed to obtain the local optimal solutions.
Jiahui Tang, Yifan Xu, Wei Wang
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Penalty methods for a class of non-Lipschitz optimization problems
, 2016 We consider a class of constrained optimization problems with a possibly nonconvex non-Lipschitz objective and a convex feasible set being the intersection of a polyhedron and a possibly degenerate ellipsoid.
Chen, Xiaojun +2 more
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Radargrammetric DSM Generation by Semi-Global Matching and Evaluation of Penalty Functions
Remote Sensing, 2022 Radargrammetry is a useful approach to generate Digital Surface Models (DSMs) and an alternative to InSAR techniques that are subject to temporal or atmospheric decorrelation.
Jinghui Wang +6 more
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Smooth exact penalty functions II: a reduction to standard exact penalty functions [PDF]
Optimization Letters, 2015 A new class of smooth exact penalty functions was recently introduced by Huyer and Neumaier. In this paper, we prove that the new smooth penalty function for a constrained optimization problem is exact if and only if the standard nonsmooth penalty function for this problem is exact.
openaire +2 more sources
Generalized Nonconvex Nonsmooth Low-Rank Minimization [PDF]
, 2014 As surrogate functions of $L_0$-norm, many nonconvex penalty functions have been proposed to enhance the sparse vector recovery. It is easy to extend these nonconvex penalty functions on singular values of a matrix to enhance low-rank matrix recovery ...
Lin, Zhouchen +3 more
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Penalty Strategies in Semiparametric Regression Models
Mathematical and Computational ApplicationsThis study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...
Ayuba Jack Alhassan +3 more
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Longitudinal functional models with structured penalties
Statistical Modelling, 2016 This article addresses estimation in regression models for longitudinally collected functional covariates (time-varying predictor curves) with a longitudinal scalar outcome. The framework consists of estimating a time-varying coefficient function that is modelled as a linear combination of time-invariant functions with time-varying coefficients.
Kundu, Madan G. +2 more
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Sensitivity analysis of penalty function parameters in operating optimization models of multi-purpose tanks [PDF]
Fanāvarī-i āmūzish, 2007 One of the most important pillars of optimized multi-purpose reservoir optimization models is the definition of a penalty or loss function. Due to the variety of operating goals and the complexity of the system, they often use alternative functions ...
S. Ali Mohammadi +2 more
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A penalty function method based on smoothing lower order penalty function
Journal of Computational and Applied Mathematics, 2011 The authors consider the following constrained optimization problem: \[ \min_x f(x)\text{ s.t. }g_i(x)\leq 0,\quad i= 1,2,\dots, m. \] For this problem, the authors introduce a penalty function method based on smoothing lower order penalty function. Some numerical examples are presented.
Xu, Xinsheng +3 more
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