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  • Search: subject:"Branch and prune"
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Subject
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Branch-and-prune 3 Distance geometry 3 Branch and prune 2 Algorithm 1 Algorithmus 1 Bioinformatics 1 Branch and bound 1 Branch-and-Prune Algorithm 1 Combinatorial Optimization 1 Combinatorial optimization 1 Directed acyclic graphs 1 Discrete game 1 Discretization orders 1 Graph theory 1 Interval Branch and Prune 1 Interval constraint propagation 1 Manufacturing system 1 Molecular conformation 1 NMR 1 NMR data 1 Nash equilibrium problem 1 Produktionssystem 1 Protein 1 Protein conformation 1 Protein conformations 1 Proteins 1 Theorie 1 Theory 1 design structure matrix 1 hash function 1 iterative process 1 production and manufacturing system 1
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Undetermined 6 Free 1
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Article 7
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
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Undetermined 5 English 2
Author
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Lavor, Carlile 4 Mucherino, Antonio 4 Liberti, Leo 3 Maculan, Nelson 3 Carvalho, Luiz 1 Cassioli, Andrea 1 Costa, Virginia 1 Lin, Jun 1 Qian, Yanjun 1 Sam-Haroud, Djamila 1 Schichl, Hermann 1 Schwarze, Stefan 1 Shang, Zhen 1 Stein, Oliver 1 Vu, Xuan-Ha 1 Zhao, Songzheng 1
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Computational Optimization and Applications 3 Journal of Global Optimization 2 European Journal of Operational Research 1 International journal of production research 1
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RePEc 5 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 7 of 7
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A branch-and-prune algorithm for discrete Nash equilibrium problems
Schwarze, Stefan; Stein, Oliver - In: Computational Optimization and Applications 86 (2023) 2, pp. 491-519
We present a branch-and-prune procedure for discrete Nash equilibrium problems with a convex description of each player …
Persistent link: https://www.econbiz.de/10015179576
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Exact algorithms for the feedback length minimisation problem
Shang, Zhen; Zhao, Songzheng; Qian, Yanjun; Lin, Jun - In: International journal of production research 57 (2019) 2, pp. 544-559
Persistent link: https://www.econbiz.de/10012183686
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Discretization orders for protein side chains
Costa, Virginia; Mucherino, Antonio; Lavor, Carlile; … - In: Journal of Global Optimization 60 (2014) 2, pp. 333-349
Proteins are important molecules that are widely studied in biology. Since their three-dimensional conformations can give clues about their function, an optimal methodology for the identification of such conformations has been researched for many years. Experiments of Nuclear Magnetic Resonance...
Persistent link: https://www.econbiz.de/10010994098
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The interval Branch-and-Prune algorithm for the discretizable molecular distance geometry problem with inexact distances
Lavor, Carlile; Liberti, Leo; Mucherino, Antonio - In: Journal of Global Optimization 56 (2013) 3, pp. 855-871
The Distance Geometry Problem in three dimensions consists in finding an embedding in <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$${\mathbb{R}^3}$$</EquationSource> </InlineEquation> of a given nonnegatively weighted simple undirected graph such that edge weights are equal to the corresponding Euclidean distances in the embedding. This is a continuous search problem...</equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010994194
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Recent advances on the Discretizable Molecular Distance Geometry Problem
Lavor, Carlile; Liberti, Leo; Maculan, Nelson; … - In: European Journal of Operational Research 219 (2012) 3, pp. 698-706
The Molecular Distance Geometry Problem (MDGP) consists in finding an embedding in R3 of a nonnegatively weighted simple undirected graph with the property that the Euclidean distances between embedded adjacent vertices must be the same as the corresponding edge weights. The Discretizable...
Persistent link: https://www.econbiz.de/10010574213
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The discretizable molecular distance geometry problem
Lavor, Carlile; Liberti, Leo; Maculan, Nelson; … - In: Computational Optimization and Applications 52 (2012) 1, pp. 115-146
Persistent link: https://www.econbiz.de/10010558258
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Interval propagation and search on directed acyclic graphs for numerical constraint solving
Vu, Xuan-Ha; Schichl, Hermann; Sam-Haroud, Djamila - In: Computational Optimization and Applications 45 (2009) 4, pp. 499-531
Persistent link: https://www.econbiz.de/10008467080
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