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  • Search: subject:"Trust-Region Methods"
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Year of publication
Subject
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Trust region methods 5 trust-region methods 4 Trust-region methods 3 Global convergence 2 global rate of convergence 2 Algorithm design 1 Algorithms 1 Alternating direction methods 1 Automotive industry 1 Auxiliary Problem Principle 1 Bound constraints 1 Bound-constrained equations 1 Conjugate-gradient methods 1 Constrained Cost Variable 1 Convergence theory 1 DC algorithm 1 Data assimilation 1 Derivative free algorithm 1 Derivative free optimization 1 Diagonal scalings 1 Dogleg methods 1 Dual-space minimization 1 Econometrics 1 Electricity Market 1 Estimation and Reduction of Binding Constraints 1 FIML estimation 1 Filter method 1 Gauss-Newton method 1 Globalization 1 Logits 1 Mathematical optimization 1 Mathematical programming 1 Mathematische Optimierung 1 Mixed integer programming 1 Mixed logit 1 Monte Carlo methods 1 Monte Carlo sampling 1 Multi-Period OPF 1 Newton method 1 Newton methods 1
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Online availability
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Undetermined 7 Free 6
Type of publication
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Article 7 Book / Working Paper 6
Type of publication (narrower categories)
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Thesis 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 11 English 2
Author
All
Ali, M. 1 Aravkin, Aleksandr 1 Baraldi, Robert 1 Bellavia, Stefania 1 Calzolari, Giorgio 1 Dinh, Tao 1 Dogan, Deniz 1 Gratton, Serge 1 Gürol, Selime 1 Huynh, Van 1 Macconi, Maria 1 Morini, Benedetta 1 NESTEROV, Yu 1 NESTEROV, Yurii 1 Newby, Eric 1 Orban, Dominique 1 POLYAK, Boris 1 Panattoni, Lorenzo 1 Pieraccini, Sandra 1 Porcelli, Margherita 1 Powell, M. 1 Qi, Liqun 1 Sun, Wenyu 1 Thi, Hoai Le 1 Toint, Philippe 1 Vaz, A. 1 Vicente, L. 1 Wang, Hongye 1 Weihs, Claus 1 Xue, Dan 1
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Institution
All
Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Computational Optimization and Applications 6 CORE Discussion Papers 2 Journal of Global Optimization 1 Les cahiers du GERAD 1 MPRA Paper 1
Source
All
RePEc 10 BASE 2 ECONIS (ZBW) 1
Showing 1 - 10 of 13
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A proximal quasi-Newton trust-region method for nonsmooth regularized optimization
Aravkin, Aleksandr; Baraldi, Robert; Orban, Dominique - 2021
Persistent link: https://www.econbiz.de/10012588124
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Globally convergent DC trust-region methods
Thi, Hoai Le; Huynh, Van; Dinh, Tao; Vaz, A.; Vicente, L. - In: Journal of Global Optimization 59 (2014) 2, pp. 209-225
of trust-region methods to the solution of a class of nonlinear optimization problems where the constrained set is closed …
Persistent link: https://www.econbiz.de/10010793964
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ON THE COMPUTATION AND APPLICATION OF MULTI-PERIOD SECURITY-CONSTRAINED OPTIMAL POWER FLOW FOR REAL-TIME ELECTRICITY MARKET OPERATIONS
Wang, Hongye - 2007
This work concerns the formulation and solution of a multi-period security-constrained optimal power flow problem for real-time electricity market operations. The solution of the proposed problem is intended to be part of the core pricing procedure for electricity trading in open markets where...
Persistent link: https://www.econbiz.de/10009466255
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Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems
Gratton, Serge; Gürol, Selime; Toint, Philippe - In: Computational Optimization and Applications 54 (2013) 1, pp. 1-25
When solving nonlinear least-squares problems, it is often useful to regularize the problem using a quadratic term, a practice which is especially common in applications arising in inverse calculations. A solution method derived from a trust-region Gauss-Newton algorithm is analyzed for such...
Persistent link: https://www.econbiz.de/10010998288
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TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities
Morini, Benedetta; Porcelli, Margherita - In: Computational Optimization and Applications 51 (2012) 1, pp. 27-49
Persistent link: https://www.econbiz.de/10010998287
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Cubic regularization of a Newton scheme and its global performance
NESTEROV, Yurii; POLYAK, Boris - Center for Operations Research and Econometrics (CORE), … - 2003
In this paper we suggest a cubic regularization for a Newton method as applied to unconstrained minimization problem. For this scheme we prove general convergence results. We analyze the behavior of this scheme on different problem classes, for which we get global and local worst-case complexity...
Persistent link: https://www.econbiz.de/10005043586
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Modified Gauss-Newton scheme with worst-case guarantees for its global performance
NESTEROV, Yu - Center for Operations Research and Econometrics (CORE), … - 2003
In this paper we suggest a new version of Gauss-Newton method for solving a system of nonlinear equations, which combines the idea of a sharp merit function with the idea of a quadratic regularization. For this scheme we prove general convergence results and, under a natural non-degeneracy...
Persistent link: https://www.econbiz.de/10005065338
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A trust-region-based derivative free algorithm for mixed integer programming
Newby, Eric; Ali, M. - In: Computational Optimization and Applications 60 (2015) 1, pp. 199-229
A trust-region-based derivative free algorithm for solving bound constrained mixed integer nonlinear programs is developed in this paper. The algorithm is proven to converge to a local minimum after a finite number of function evaluations. In addition, an improved definition of local minima of...
Persistent link: https://www.econbiz.de/10011151828
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Numerical optimization for mixed logit models and an application
Dogan, Deniz - 2008
In this thesis an algorithm (MLOPT) for mixed logit models is proposed. Mixed logit models are flexible discrete choice models, but their estimation with large datasets involves the solution of a nonlinear optimization problem with a high dimensional integral in the objective function, which is...
Persistent link: https://www.econbiz.de/10009476125
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An alternating structured trust region algorithm for separable optimization problems with nonconvex constraints
Xue, Dan; Sun, Wenyu; Qi, Liqun - In: Computational Optimization and Applications 57 (2014) 2, pp. 365-386
In this paper, we propose a structured trust-region algorithm combining with filter technique to minimize the sum of two general functions with general constraints. Specifically, the new iterates are generated in the Gauss-Seidel type iterative procedure, whose sizes are controlled by a...
Persistent link: https://www.econbiz.de/10010896524
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