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gptkbp:instanceOf
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mathematical optimization
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gptkbp:alternativeTo
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gptkb:Newton's_method
conjugate gradient method
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gptkbp:application
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gptkb:machine_learning
economics
data fitting
engineering design
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gptkbp:category
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gptkb:logic
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gptkbp:compatibleWith
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second derivatives
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gptkbp:convergesTo
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superlinear
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gptkbp:estimatedCost
|
inverse Hessian matrix
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gptkbp:field
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gptkb:machine_learning
gptkb:mathematics
numerical optimization
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gptkbp:fullName
|
Broyden–Fletcher–Goldfarb–Shanno method
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https://www.w3.org/2000/01/rdf-schema#label
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BFGS method
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gptkbp:input
|
objective function
gradient
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gptkbp:introducedIn
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1970
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gptkbp:namedAfter
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gptkb:Charles_Broyden
gptkb:David_Shanno
gptkb:Donald_Goldfarb
gptkb:Roger_Fletcher
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gptkbp:output
|
local minimum
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gptkbp:relatedTo
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gptkb:L-BFGS_method
DFP method
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gptkbp:requires
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differentiable function
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gptkbp:supportsAlgorithm
|
deterministic
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gptkbp:type
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gptkb:quasi-Newton_method
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gptkbp:updateFormula
|
BFGS update
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gptkbp:usedFor
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unconstrained nonlinear optimization
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gptkbp:bfsParent
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gptkb:M.J.D._Powell
gptkb:Davidon–Fletcher–Powell_formula
gptkb:L-BFGS-B_method
gptkb:quasi-Newton_method
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gptkbp:bfsLayer
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8
|