L-BFGS algorithm

GPTKB entity

Statements (36)
Predicate Object
gptkbp:instanceOf mathematical optimization
gptkbp:abbreviation gptkb:Limited-memory_Broyden–Fletcher–Goldfarb–Shanno_algorithm
gptkbp:advantage low memory usage
gptkbp:appliesTo gptkb:machine_learning
computational physics
data science
engineering
gptkbp:author gptkb:Jorge_Nocedal
gptkb:Dong_C._Liu
gptkbp:basedOn gptkb:BFGS_algorithm
gptkbp:category gptkb:quasi-Newton_method
gptkbp:citation Liu, D.C. and Nocedal, J. (1989). On the limited memory BFGS method for large scale optimization. Mathematical Programming, 45(1-3), 503-528.
gptkbp:fullName gptkb:Limited-memory_Broyden–Fletcher–Goldfarb–Shanno_algorithm
https://www.w3.org/2000/01/rdf-schema#label L-BFGS algorithm
gptkbp:implementedIn gptkb:TensorFlow
gptkb:Julia
gptkb:MATLAB
gptkb:PyTorch
gptkb:SciPy
R
gptkbp:input objective function
gradient
gptkbp:introducedIn 1980s
gptkbp:numberOfLocations limited number of vectors
gptkbp:output local minimum
gptkbp:relatedTo gptkb:Newton's_method
gptkb:BFGS_algorithm
DFP algorithm
gptkbp:updateRule approximates inverse Hessian matrix
gptkbp:usedFor unconstrained optimization
large-scale optimization
numerical optimization
gptkbp:bfsParent gptkb:BFGS_algorithm
gptkb:Ciyou_Zhu
gptkb:Jorge_Nocedal
gptkbp:bfsLayer 8