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- Limited-memory_BFGS abstract "Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm using a limited amount of computer memory. It is a popular algorithm for parameter estimation in machine learning.Like the original BFGS, L-BFGS uses an approximation to the inverse Hessian matrix to steer its search through variable space, but where BFGS stores a dense n×n approximation to the inverse Hessian (n being the number of variables in the problem), L-BFGS stores only a few vectors that represent the approximation implicitly. Due to its resulting linear memory requirement, the L-BFGS method is particularly well suited for optimization problems with a large number of variables. Instead of the inverse Hessian Hk, L-BFGS maintains a history of the past m updates of the position x and gradient ∇f(x), where generally the history size m can be small (often m<10). These updates are used to implicitly do operations requiring the Hk-vector product.".
- Limited-memory_BFGS wikiPageExternalLink LBFGSB.cpp?r=51.
- Limited-memory_BFGS wikiPageExternalLink optimization.html.
- Limited-memory_BFGS wikiPageExternalLink scipy.optimize.minimize.html.
- Limited-memory_BFGS wikiPageExternalLink lbfgs.
- Limited-memory_BFGS wikiPageExternalLink funclib.codeplex.com.
- Limited-memory_BFGS wikiPageExternalLink lbfgs_um.shar.
- Limited-memory_BFGS wikiPageExternalLink UnconstrainedOptimizationQuasiNewtonMethods.html.
- Limited-memory_BFGS wikiPageExternalLink b1eb1016-1738-4bd5-83a9-370c9d498a03.
- Limited-memory_BFGS wikiPageExternalLink riso.sourceforge.net.
- Limited-memory_BFGS wikiPageExternalLink toms.acm.org.
- Limited-memory_BFGS wikiPageExternalLink lbfgsb.html.
- Limited-memory_BFGS wikiPageExternalLink wapiti.limsi.fr.
- Limited-memory_BFGS wikiPageExternalLink liblbfgs.
- Limited-memory_BFGS wikiPageExternalLink software.shtml.
- Limited-memory_BFGS wikiPageExternalLink lbfgsb-for-matlab.html.
- Limited-memory_BFGS wikiPageExternalLink fid4A53890DFB42BB9734639793C7BDD4EB1B8E6583.aspx?s=decomposition.
- Limited-memory_BFGS wikiPageExternalLink fmincon.html.
- Limited-memory_BFGS wikiPageExternalLink 23245.
- Limited-memory_BFGS wikiPageExternalLink 35104-lbfgsb-l-bfgs-b-mex-wrapper.
- Limited-memory_BFGS wikiPageExternalLink index.html.
- Limited-memory_BFGS wikiPageExternalLink fmin_l_bfgs_b.
- Limited-memory_BFGS wikiPageExternalLink owlqn.py.
- Limited-memory_BFGS wikiPageID "6142533".
- Limited-memory_BFGS wikiPageRevisionID "601302619".
- Limited-memory_BFGS hasPhotoCollection Limited-memory_BFGS.
- Limited-memory_BFGS subject Category:Optimization_algorithms_and_methods.
- Limited-memory_BFGS type Abstraction100002137.
- Limited-memory_BFGS type Act100030358.
- Limited-memory_BFGS type Activity100407535.
- Limited-memory_BFGS type Algorithm105847438.
- Limited-memory_BFGS type Event100029378.
- Limited-memory_BFGS type OptimizationAlgorithmsAndMethods.
- Limited-memory_BFGS type Procedure101023820.
- Limited-memory_BFGS type PsychologicalFeature100023100.
- Limited-memory_BFGS type Rule105846932.
- Limited-memory_BFGS type YagoPermanentlyLocatedEntity.
- Limited-memory_BFGS comment "Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm using a limited amount of computer memory.".
- Limited-memory_BFGS label "L-BFGS".
- Limited-memory_BFGS label "Limited-memory BFGS".
- Limited-memory_BFGS sameAs L-BFGS.
- Limited-memory_BFGS sameAs m.0fsc7v.
- Limited-memory_BFGS sameAs Q6549489.
- Limited-memory_BFGS sameAs Q6549489.
- Limited-memory_BFGS sameAs Limited-memory_BFGS.
- Limited-memory_BFGS wasDerivedFrom Limited-memory_BFGS?oldid=601302619.
- Limited-memory_BFGS isPrimaryTopicOf Limited-memory_BFGS.