DIFFERENTIABLE EXACT PENALTY FUNCTIONS FOR NONLINEAR SECOND-ORDER CONE PROGRAMS [PDF]
, 2015 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)We propose a method for solving nonlinear second-order cone programs (SOCPs), based on a continuously differentiable exact ...
Fukushima, M, Silva, PJS, Fukuda, EH
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AppliedMathAdversarial perturbations measured by ℓp norms do not reflect key structural constraints in tabular security data, including anisotropic geometry, feature dependence, and distributional plausibility. We introduce a composite attacker cost functional Catk(
Julian Allagan +3 more
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Bayesian Optimization via Exact Penalty [PDF]
Constrained optimization problems pose challenges when the objective function and constraints are nonconvex and their evaluation requires expensive black-box simulations. Recently, hybrid optimization methods that integrate statistical surrogate modeling
Jiangyan Zhao (9425534), Jin Xu (31283)
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AN EXACT PENALTY APPROACH FOR MATHEMATICAL PROGRAMS WITH EQUILIBRIUM CONSTRAINTS. [PDF]
, 2011 We propose an exact penalty approach to solve the mathematical problems with equilibrium constraints (MPECs). This work is based on the smoothing functions introduced by Haddou but we do not need any complicate updating rule for the penalty parameter. We
Haddou, Mounir, Abdallah, Lina
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Exact Penalty Functions for Mathematical Programs with Linear Complementarity Constraints [PDF]
, 1996 We establish a new general exact penalty function result for a constrained optimization problem and apply this result to a mathematical program with linear complementarity ...
Pang, J.S., Mangasarian, O.L.
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Exact penalty functions for optimal control problems [PDF]
openA novel technique to solve optimal control problems with state constraints is proposed. We exploit the theory of exact penalty functions, used in mathematical programming, to construct a systematic procedure to transform two classes of problems with ...
GRIMALDI, RICCARDO ALESSANDRO
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations
Scientific ReportsSolving Ordinary Differential Equations (ODEs) is an essential and very challenging computational problem in many areas of science and engineering like physics, biology, control system, and economics.
V. Murugesh +3 more
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The Exact l1 Penalty Function Method for Constrained Nonsmooth Invex Optimization Problems [PDF]
, 2011 Part 7: Applications and Control of Lumped Parameter SystemsInternational audienceThe exactness of the penalization for the exact l1 penalty function method used for solving nonsmooth constrained optimization problems with both inequality and equality ...
Antczak, Tadeusz
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On the Role of Continuously Differentiable Exact Penalty Functions in Constrained Global Optimization. [PDF]
, 1994 The aim of this paper is to show that the new continuously differentiable exact penalty functions recently proposed in literature can play an important role in the field of constrained global optimization.
LUCIDI, Stefano
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A second-order differentiable smoothing approximation lower order exact penalty function [PDF]
, 2020 : In this paper, we give a smoothing approximation to the lower order exact penalty functions for inequality-constrained optimization problems. Error estimations are obtained among the optimal objective function values of the smoothed penalty problem, of
Ranran Li, Wenling Zhao
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