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  • Search: subject:"Semismooth Newton method"
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Semismooth Newton method 13 Mathematical programming 3 Mathematische Optimierung 3 Theorie 3 Theory 3 Complementarity problems 2 Damped semismooth Newton method 2 Inverse optimization 2 Optimal control 2 Rate of convergence 2 Second-order cone quadratic programming 2 Active-set method 1 Algorithm 1 Algorithmus 1 Approximation 1 Augmented Lagrangian method 1 Augmented Langrangian method 1 BD-regularity 1 Bi-eigenvalue complementarity problems 1 Calibration 1 Capacitated multi-facility Weber problem 1 Complementarity functions 1 Concave priors 1 Constraint qualification 1 Convex objective function 1 Convex quadratic programming 1 Convex relaxation 1 Damping 1 Elasto-plasticity 1 Fathi and Murty problems 1 General regression estimator 1 Global convergence 1 Globalization 1 Hardening 1 Harker and Pang algorithm 1 Incremental finite element method 1 Iterative complexity 1 Kirchhoff equation 1 Lattice Projection Method 1 Line search 1
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Article 18
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Article 3 Article in journal 3 Aufsatz in Zeitschrift 3
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Undetermined 12 English 6
Author
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Izmailov, A. 2 Pan, Shaohua 2 Pogosyan, A. 2 Wu, Yue 2 Zhang, Liwei 2 Zhang, Yi 2 Adly, Samir 1 Amstutz, Samuel 1 Andrade, S. González 1 Bernreuther, Marco 1 Bi, Shujun 1 Borzì, A. 1 Buchholzer, Hannes 1 Chen, Jein-Shan 1 De Marchi, Alberto 1 Dussault, Jean-Pierre 1 Frappier, Mathieu 1 Gilbert, Jean Charles 1 Han, Le 1 Hashemi, Masoumeh 1 Herzog, Roland 1 Hintermüller, Michael 1 Hu, Hao 1 Im, Haesol 1 Kanzow, Christian 1 Knabner, Peter 1 Ko, Chun-Hsu 1 Kräutle, Serge 1 Laurain, Antoine 1 Li, Xinxin 1 Müller, Georg 1 Münnich, Ralf 1 Rammal, Hadia 1 Sachs, Ekkehard 1 Solodov, M. 1 Surowiec, Thomas M. 1 Sysala, Stanislav 1 Volkwein, Stefan 1 Wagner, Matthias 1 Wolkowicz, Henry 1
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Computational Optimization and Applications 10 Journal of Global Optimization 3 EURO journal on computational optimization 1 Mathematics and Computers in Simulation (MATCOM) 1 Mathematics of operations research 1 TOP: An Official Journal of the Spanish Society of Statistics and Operations Research 1 Top : transactions in operations research 1
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RePEc 12 ECONIS (ZBW) 3 EconStor 3
Showing 1 - 10 of 18
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Optimal control of the stationary Kirchhoff equation
Hashemi, Masoumeh; Herzog, Roland; Surowiec, Thomas M. - In: Computational Optimization and Applications 85 (2023) 2, pp. 479-508
We consider an optimal control problem for the steady-state Kirchhoff equation, a prototype for nonlocal partial differential equations, different from fractional powers of closed operators. Existence and uniqueness of solutions of the state equation, existence of global optimal solutions,...
Persistent link: https://www.econbiz.de/10015328820
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On a primal-dual Newton proximal method for convex quadratic programs
De Marchi, Alberto - In: Computational Optimization and Applications 81 (2022) 2, pp. 369-395
the proximal point algorithm and a damped semismooth Newton method. The outer proximal regularization yields a numerically …
Persistent link: https://www.econbiz.de/10015110227
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Efficient scalarization in multiobjective optimal control of a nonsmooth PDE
Bernreuther, Marco; Müller, Georg; Volkwein, Stefan - In: Computational Optimization and Applications 83 (2022) 2, pp. 435-464
-search globalized pseudo-semismooth Newton method that appears to remove the degenerate behavior of the local version of the method …
Persistent link: https://www.econbiz.de/10015165519
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A semismooth newton-type method for the nearest doubly stochastic matrix problem
Hu, Hao; Li, Xinxin; Im, Haesol; Wolkowicz, Henry - In: Mathematics of operations research 49 (2024) 2, pp. 729-751
Persistent link: https://www.econbiz.de/10014564361
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A lower bound on the iterative complexity of the Harker and Pang globalization technique of the Newton-min algorithm for solving the linear complementarity problem
Dussault, Jean-Pierre; Frappier, Mathieu; Gilbert, Jean … - In: EURO journal on computational optimization 7 (2019) 4, pp. 359-380
Persistent link: https://www.econbiz.de/10012314123
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The augmented Lagrangian method for a type of inverse quadratic programming problems over second-order cones
Zhang, Yi; Zhang, Liwei; Wu, Yue - In: TOP: An Official Journal of the Spanish Society of … 22 (2014) 1, pp. 45-79
the penalty parameter in the augmented Lagrangian. Furthermore, a semismooth Newton method with Armijo line search is …
Persistent link: https://www.econbiz.de/10010995304
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A superlinearly convergent R-regularized Newton scheme for variational models with concave sparsity-promoting priors
Hintermüller, Michael; Wu, Tao - In: Computational Optimization and Applications 57 (2014) 1, pp. 1-25
A general class of variational models with concave priors is considered for obtaining certain sparse solutions, for which nonsmoothness and non-Lipschitz continuity of the objective functions pose significant challenges from an analytical as well as numerical point of view. For computing a...
Persistent link: https://www.econbiz.de/10010998317
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The augmented Langrangian method for a type of inverse quadratic programming problems over second-order cones
Zhang, Yi; Zhang, Liwei; Wu, Yue - In: Top : transactions in operations research 22 (2014) 1, pp. 45-79
Persistent link: https://www.econbiz.de/10010347849
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Approximation of rank function and its application to the nearest low-rank correlation matrix
Bi, Shujun; Han, Le; Pan, Shaohua - In: Journal of Global Optimization 57 (2013) 4, pp. 1113-1137
with the sequential semismooth Newton method (Li and Qi in SIAM J Optim 21:1641–1666, <CitationRef CitationID="CR22 …
Persistent link: https://www.econbiz.de/10010994108
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A semismooth Newton method for a class of semilinear optimal control problems with box and volume constraints
Amstutz, Samuel; Laurain, Antoine - In: Computational Optimization and Applications 56 (2013) 2, pp. 369-403
, nonsmooth equation which is solved using a semismooth Newton method. A regularization of the nonsmooth equation is necessary to … obtain the superlinear convergence of the semismooth Newton method. We prove that the solutions of the regularized problems …
Persistent link: https://www.econbiz.de/10010998291
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