Pseudo-Boolean function

Results: 9



#Item
1Algebra / Mathematical optimization / Pseudo-Boolean function / Quadratic function / Boolean algebra / Homogeneous polynomial / Polynomial / Variable / Homogeneous function / Function of several real variables

Quadratic reformulations of nonlinear binary optimization problems Martin Anthony∗, Endre Boros†, Yves Crama‡, Aritanan Gruber§ Abstract Very large nonlinear unconstrained binary optimization problems

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Source URL: www.maths.lse.ac.uk

Language: English - Date: 2016-04-17 06:48:10
2Algebraic structures / Polynomials / Mathematical optimization / Pseudo-Boolean function / Symmetric functions / Ring / Symmetric matrix / Boolean algebra / Elementary symmetric polynomial

Quadratization of Symmetric Pseudo-Boolean Functions Martin Anthonya , Endre Borosb , Yves Cramac , Aritanan Gruberd,∗ a Department of Mathematics, London School of Economics and Political Science, UK.

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Source URL: www.maths.lse.ac.uk

Language: English - Date: 2015-12-10 05:21:39
3Linear programming / Image processing / Operations research / Mathematics / Applied mathematics / Submodular set function / Segmentation / Pseudo-Boolean function / Duality / Mathematical optimization / Convex optimization / Mathematical analysis

1 An Efficient Optimization Framework for Multi-Region Segmentation based on Lagrangian Duality Johannes Ul´en, Petter Strandmark and Fredrik Kahl

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Source URL: www.medtechwest.se

Language: English - Date: 2013-10-29 04:26:53
4Mathematical optimization / Applied mathematics / Computational complexity theory / Big O notation / Pseudo-Boolean function / Poisson distribution / Expected value / Linear programming relaxation / Pareto distribution / Mathematical analysis / Mathematics / Operations research

Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY Anh Nguyen Tommaso Urli

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Source URL: www.tunnuz.net

Language: English - Date: 2014-09-12 00:58:22
5Mathematical optimization / Applied mathematics / Computational complexity theory / Big O notation / Pseudo-Boolean function / Poisson distribution / Expected value / Linear programming relaxation / Pareto distribution / Mathematical analysis / Mathematics / Operations research

Single- and Multi-Objective Genetic Programming: New Bounds for Weighted ORDER and MAJORITY Anh Nguyen Tommaso Urli

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Source URL: tunnuz.net

Language: English - Date: 2014-09-12 00:58:22
6Submodular set function / Order theory / Matroid theory / Supermodular function / Pseudo-Boolean function / Mathematical analysis / Mathematics / Mathematical optimization

Submodular Function Maximization Andreas Krause (ETH Zurich) Daniel Golovin (Google) Submodularity1 is a property of set functions with deep theoretical consequences and far– reaching applications. At first glance it a

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Source URL: las.ethz.ch

Language: English - Date: 2012-08-03 11:50:04
7Coding theory / Mathematical analysis / Topology / Mathematical optimization / Pseudo-Boolean function / Metric / Function / Hamming distance / Walsh–Hadamard code / Mathematics / Geometry / Metric geometry

Computer Science Technical Report Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time Andrew M. Sutton, L. Darrell Whitley, Adele E. Howe

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Source URL: www.cs.colostate.edu

Language: English - Date: 2010-06-24 19:04:53
8Applied mathematics / Convex optimization / Linear programming / Optimization problem / Pseudo-Boolean function / Operations research / Mathematical optimization / Mathematics

c Pleiades Publishing, Ltd., 2011. ISSN[removed], Journal of Applied and Industrial Mathematics, 2011, Vol. 5, No. 2, pp. 180–190.  c V.L. Beresnev, A.A. Mel’nikov, 2010, published in Diskretnyi Analiz i Issledovan

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Source URL: www.math.nsc.ru

Language: English - Date: 2011-07-08 06:11:27
9Convex optimization / Submodular set function / Ellipsoid method / Linear programming / Pseudo-Boolean function / Subgradient method / Optimization problem / Convex analysis / Combinatorial optimization / Mathematical optimization / Mathematical analysis / Operations research

R Foundations and Trends in Machine Learning

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Source URL: www.di.ens.fr

Language: English - Date: 2013-10-07 09:14:41
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