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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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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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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Hybrid proximal linearized algorithm for the split DC program in infinite-dimensional real Hilbert spaces. [PDF]
J Inequal Appl, 2018 Chuang CS, Yang PJ.
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Estimation and optimal control of the multi-scale dynamics of the Covid-19
, 2021 MBOGNE DJF +7 more
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An algorithm for the split-feasibility problems with application to the split-equality problem. [PDF]
J Inequal Appl, 2017 Chuang CS, Chen CM.
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A class of derivative-free trust-region methods with interior backtracking technique for nonlinear optimization problems subject to linear inequality constraints. [PDF]
J Inequal Appl, 2018 Gao J, Cao J.
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Primal-dual interior point QP-free algorithm for nonlinear constrained optimization. [PDF]
J Inequal Appl, 2017 Jian J, Zeng H, Ma G, Zhu Z.
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An SQP method for mathematical programs with vanishing constraints with strong convergence properties. [PDF]
Comput Optim Appl, 2017 Benko M, Gfrerer H.
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