Results 11 to 20 of about 30,988,225 (367)
Exponential type duality for η-approximated variational problems [PDF]
Yugoslav Journal of Operations Research, 2020 In this article, we use the so-called η-approximation method for solving a new class of nonconvex variational problems with exponential (p, r)-invex functionals.
Jha Shalini, Das Prasun, Antczak Tadeusz
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Mehran University Research Journal of Engineering and Technology, 2023 The goal of the work is to solve the nonlinear convection-diffusion-reaction problem using the variational iteration method with the combination of the Chebyshev wavelet.
Muhammad Memon +2 more
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Axioms, 2022 In this paper, the integrable (2+1)-dimensional Maccari system (MS), which can model many complex phenomena in hydrodynamics, plasma physics and nonlinear optics, is investigated by the variational approach (VA).
Kang-Jia Wang, Jing Si
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The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems [PDF]
Communications in Mathematics and Statistics, 2017 We propose a deep learning-based method, the Deep Ritz Method, for numerically solving variational problems, particularly the ones that arise from partial differential equations. The Deep Ritz Method is naturally nonlinear, naturally adaptive and has the
E. Weinan, Ting Yu
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Mathematics, 2021 In this article, modified techniques, namely the variational iteration transform and Shehu decomposition method, are implemented to achieve an approximate analytical solution for the time-fractional Fornberg–Whitham equation. A comparison is made between
Nehad Ali Shah +4 more
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Journal of Inequalities and Applications, 2021 For the purpose of this article, we introduce a modified form of a generalized system of variational inclusions, called the generalized system of modified variational inclusion problems (GSMVIP).
Araya Kheawborisut, Atid Kangtunyakarn
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, 2015 This contribution presents derivative-based methods for local sensitivity analysis, called Variational Sensitivity Analysis (VSA). If one defines an output called the response function, its sensitivity to inputs variations around a nominal value can be studied using derivative (gradient) information.
Nodet, Maelle, Vidard, Arthur
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Inexact Model: A Framework for Optimization and Variational Inequalities [PDF]
, 2020 In this paper we propose a general algorithmic framework for first-order methods in optimization in a broad sense, including minimization problems, saddle-point problems and variational inequalities.
Agafonov, Artem +8 more
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Variational approach for resolving the flow of generalized Newtonian fluids in circular pipes and plane slits [PDF]
, 2015 In this paper, we use a generic and general variational method to obtain solutions to the flow of generalized Newtonian fluids through circular pipes and plane slits.
Sochi, Taha
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Nucleon matrix elements using the variational method in lattice QCD [PDF]
, 2016 The extraction of hadron matrix elements in lattice QCD using the standard two- and three-point correlator functions demands careful attention to systematic uncertainties. One of the most commonly studied sources of systematic error is contamination from
Jack Dragos +8 more
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