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Mathematical optimization
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#	Item
71	A very brief introduction to particle swarm optimization Radoslav Harman Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and Informatics Comenius University in Bratislava Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2013-12-06 02:22:14 Mathematical optimization Applied mathematics Evolutionary algorithms Metaheuristics Numerical analysis Artificial intelligence Cybernetics Particle swarm optimization Search algorithms Swarm intelligence Genetic algorithm Multi-objective optimization
72	Interactive Design Exploration for Constrained Meshes Bailin Deng∗, Sofien Bouaziz, Mario Deuss, Alexandre Kaspar, Yuliy Schwartzburg, Mark Pauly Computer Graphics and Geometry Laboratory, EPFL, CH-1015 Lausanne, Switz Add to Reading List Source URL: www.bdeng.me Language: English - Date: 2016-04-27 10:38:05 Mathematical optimization Mathematical analysis Analysis Mathematics Shape optimization Constraint Constrained optimization Feasible region Optimization problem Lagrange multiplier Penalty method
73	Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces ¨ ¨ Jens Jagersk Add to Reading List Source URL: ls2-www.cs.uni-dortmund.de Language: English - Date: 2008-07-29 04:35:38 Evolutionary algorithms Mathematical optimization Mathematics Cybernetics Applied mathematics Numerical analysis Operations research Evolution strategy Minimisation Vector space
74	COLUMN GENERATION WITH GAMS ERWIN KALVELAGEN Abstract. This document describes an implementation of a Column Generation algorithm using GAMS. The well-known cutting stock problem and a personnel planning problem are used Add to Reading List Source URL: www.amsterdamoptimization.com Language: English - Date: 2011-03-16 12:56:11 Operations research Mathematics Mathematical analysis Computational complexity theory Knapsack problem Cutting stock problem Dynamic programming Pi Linear programming Mathematical optimization Column generation
75	Deterministic global optimization using the Lipschitz condition Yaroslav D. Sergeyev University of Calabria, Rende, Italy and N.I. Lobatchevsky University of Nizhni Novgorod, Russia Via P. Bucci, Cubo 42-C Add to Reading List Source URL: conf.nsc.ru Language: English - Date: 2012-04-27 02:07:25 Mathematical optimization Global optimization Deterministic global optimization Optimization problem Analysis Applied mathematics Operations research Evolutionary multimodal optimization
76	Microsoft Word - IBSAlgorithms.doc Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:45:53 Mathematical optimization Operations research Linear programming Numerical analysis Matrix Hypergraph Duality Regression analysis Linear least squares Dynamic programming
77	Learning with Large Datasets L´ eon Bottou NEC Laboratories America Add to Reading List Source URL: leon.bottou.org Language: English - Date: 2011-07-08 23:09:41 Applied mathematics Machine learning Cybernetics Academia Cognition Mathematical optimization Operations research Algorithmic efficiency Algorithm Supervised learning Artificial neural network
78	CULTURAL ALGORITHMS: THEORY AND PRACTICE Dr. Robert G. Reynolds. Professor Computer Science Associate Research Scientist Wayne State University Museum of Anthropology Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:22:05 Mathematical optimization Evolutionary algorithms Applied mathematics Genetic algorithms Cultural algorithm Operations research Artificial life Numerical analysis Cybernetics Multi-objective optimization Algorithm Evolutionary computation
79	History dependent public policies David Evans ∗ Thomas J. Sargent‡† Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:04:02 Computing Software Computer programming Equations Mathematical optimization Application programming interfaces Bellman equation Control theory Dynamic programming Qt P22 Ramsey problem
80	Journal of Machine Learning ResearchSubmitted 8/13; PublishedPyStruct - Learning Structured Prediction in Python Andreas C. M¨ Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Machine learning Learning Artificial intelligence Structured prediction Graphical models Statistical classification Conditional random field Support vector machine Multi-label classification Gradient descent Convex optimization Mathematical optimization

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