An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs, Application to the AC Optimal Power Flow [PDF]
, 2015 A novel trust region method for solving linearly constrained nonlinear programs is presented. The proposed technique is amenable to a distributed implementation, as its salient ingredient is an alternating projected gradient sweep in place of the Cauchy ...
Hours, Jean-Hubert, Jones, Colin N.
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Variational image regularization with Euler's elastica using a discrete gradient scheme
, 2018 This paper concerns an optimization algorithm for unconstrained non-convex problems where the objective function has sparse connections between the unknowns.
Lazić, Jasmina +2 more
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Estimation and optimal control of the multiscale dynamics of Covid-19: a case study from Cameroon. [PDF]
Nonlinear Dyn, 2021 Fotsa-Mbogne DJ +7 more
europepmc +2 more sources
On new sixth and seventh order iterative methods for solving non-linear equations using homotopy perturbation technique. [PDF]
BMC Res Notes, 2022 Thota S, Shanmugasundaram P.
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Tensor methods for finding approximate stationary points of convex functions. [PDF]
Optim Methods Softw, 2022 Grapiglia GN, Nesterov Y.
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Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
J Optim Theory Appl, 2021 Doikov N, Nesterov Y.
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A Sequential Homotopy Method for Mathematical Programming Problems
, 2019 We propose a sequential homotopy method for the solution of mathematical programming problems formulated in abstract Hilbert spaces under the Guignard constraint qualification.
Bock, Hans Georg, Potschka, Andreas
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Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process. [PDF]
Model Earth Syst Environ, 2022 Al-Utaibi KA +5 more
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AN INTERIOR-POINT METHOD FOR MPECs BASED ON STRICTLY FEASIBLE RELAXATIONS. [PDF]
An interior-point method for solving mathematical programs with equilibrium constraints (MPECs) is proposed. At each iteration of the algorithm, a single primaldual step is computed from each subproblem of a sequence.
Angel Víctor de Miguel +3 more
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Gradient Methods on Strongly Convex Feasible Sets and Optimal Control of Affine Systems. [PDF]
Appl Math Optim, 2020 Veliov VM, Vuong PT.
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