Results 21 to 30 of about 12,262,956 (340)
On the Expected Discounted Penalty Function Using Physics-Informed Neural Network
Journal of Mathematics, 2023 We study the expected discounted penalty at ruin under a stochastic discount rate for the compound Poisson risk model with a threshold dividend strategy. The discount rate is modeled by a Poisson process and a standard Brownian motion.
Jiayu Wang, Houchun Wang
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Exact penalty functions with multidimensional penalty parameter and adaptive penalty updates [PDF]
Optimization Letters, 2021 In the second version, a number of small mistakes found in the paper was ...
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An Over-Modulated Model Predictive Current Control for Permanent Magnet Synchronous Motors
IEEE Access, 2022 To improve the voltage utilization rate of DC bus and reduce the voltage vector tracking error, a finite-control-set modulated model predictive control (FCS-M2PC) with overmodulation capacity for permanent magnet synchronous motor (PMSM) incorporating ...
Feng Yu, Kaikai Li, Zhihao Zhu, Xing Liu
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Actuators, 2021 To improve high motion accuracy and efficiency in the high-speed operation of a 4-DOF (4 degrees of freedom) redundant parallel robot, this paper introduces a trajectory planning of the parallel robot in joint space based on the twelve-phase sine jerk ...
Shengqiao Hu +5 more
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On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation [PDF]
International Conference on Learning Representations, 2023 In this work, we study first-order algorithms for solving Bilevel Optimization (BO) where the objective functions are smooth but possibly nonconvex in both levels and the variables are restricted to closed convex sets.
Jeongyeol Kwon +3 more
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A Kind of FM-BEM Penalty Function Method for a 3D Elastic Frictional Contact Nonlinear System
Journal of Mathematics, 2021 In this paper, a kind of node_face frictional contact FM-BEM penalty function method is presented for 3D elastic frictional contact nonlinear problems. According to the principle of minimum potential energy, nonpenetrating constraints are introduced into
Chunxiao Yu +3 more
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Implementing a smooth exact penalty function for equality-constrained nonlinear optimization [PDF]
SIAM Journal on Scientific Computing, 2019 We develop a general equality-constrained nonlinear optimization algorithm based on a smooth penalty function proposed by Fletcher (1970). Although it was historically considered to be computationally prohibitive in practice, we demonstrate that the ...
Ron Estrin +3 more
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Restricted dissimilarity functions and penalty functions [PDF]
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011 In this work we introduce the definition of restricted dissimilarity functions and we link it with some other notions, such as metrics. In particular, we also show how restricted dissimilarity functions can be used to build penalty functions.
Humberto Bustince +4 more
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Remote Sensing, 2022 Suspended sediment dynamics play an important role in controlling nearshore and estuarine geomorphology and the associated ecological environments. Modeling the transport of suspended sediment is a complicated and challenging research topic.
Wenrui Chen +4 more
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Discounted penalty function at Parisian ruin for Lévy insurance risk process [PDF]
Insurance, Mathematics & Economics, 2017 In the setting of a Levy insurance risk process, we present some results regarding the Parisian ruin problem which concerns the occurrence of an excursion below zero of duration bigger than a given threshold r . First, we give the joint Laplace transform
Ronne Loeffen, Z. Palmowski, B. Surya
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