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BFGS method
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#	Item
21	Generic Methods for Optimization-Based Modeling Justin Domke Rochester Institute of Technology Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-05-24 15:13:47 Image processing Spatial data analysis Mathematical optimization Coordinate descent Limited-memory BFGS BFGS method Gradient descent Conditional random field Conjugate gradient method Numerical analysis Machine learning Image denoising
22	Accelerated Training for Matrix-norm Regularization: A Boosting Approach Xinhua Zhang∗, Yaoliang Yu and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {xinhua2,yaoli Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2012-10-02 09:45:02 Mathematical optimization Numerical linear algebra Matrix theory Operations research Convex optimization Singular value decomposition BFGS method Vector space Least squares Algebra Mathematics Linear algebra
23	Dual Decomposition for Marginal Inference Justin Domke Rochester Institute of Technology Rochester, NY[removed]Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:36:56 Operations research Convex optimization Numerical linear algebra Belief propagation Coding theory Tree decomposition BFGS method Linear programming Conjugate gradient method Mathematics Graph theory Mathematical optimization
24	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: www.magicbroom.info Language: English - Date: 2012-09-24 14:25:51 Operations research Convex optimization Gradient descent Subgradient method Perceptron Stochastic gradient descent Gradient method BFGS method Numerical analysis Mathematical optimization Stochastic optimization
25	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Francis Bach INRIA - Sierra Project-Team Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2014-12-16 01:31:50 Convex analysis Gradient descent Convex optimization BFGS method Least squares Numerical analysis Mathematical optimization Mathematical analysis
26	LNCS[removed]Data Assimilation in Multiscale Chemical Transport Models Add to Reading List Source URL: www.dddas.org Language: English - Date: 2007-04-28 02:00:00 Control theory Weather prediction Chemical kinetics Environmental chemistry Data assimilation Estimation theory Kinetic PreProcessor Limited-memory BFGS BFGS method Atmospheric sciences Meteorology Science
27	Package ‘nnls’ July 2, 2014 Type Package Title The Lawson-Hanson algorithm for non-negative least squares (NNLS) Version 1.4 Author Katharine M. Mullen and Ivo H. M. van Stokkum Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 15:52:16 Least squares Mathematical optimization Numerical linear algebra Limited-memory BFGS BFGS method Linear least squares Matrix Quasi-Newton method Total least squares Regression analysis Numerical analysis Statistics
28	Package ‘PBSmodelling’ July 2, 2014 Version 2.66.264 Date 2014-03-27 Title GUI Tools Made Easy: Interact with Models, Explore Data, Give Dynamic Presentations Author Jon T. Schnute ,Alex Couture Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:10:08 Higher-order functions Subroutines Functions and mappings Recursion Limited-memory BFGS BFGS method Mathematical optimization Parameter Constructor Software engineering Computing Mathematics
29	Genetic Optimization Using Derivatives: The rgenoud Package for R Walter R. Mebane, Jr. Jasjeet S. Sekhon Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:17:51 Mathematical optimization Genetic algorithms Evolutionary algorithms Mutation Quasi-Newton method BFGS method Crossover Computer-automated design Cybernetics Numerical analysis Applied mathematics
30	Package ‘ucminf’ July 2, 2014 Version[removed]Date[removed]Title General-purpose unconstrained non-linear optimization Author Hans Bruun Nielsen and Stig Bousgaard Mortensen Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:47:01 Operations research BFGS method Hessian matrix Line search Linear programming Quasi-Newton method Limited-memory BFGS Mathematical optimization Mathematics Numerical analysis

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