Gauss–Newton algorithm

GPTKB entity

Statements (23)
Predicate Object
gptkbp:instanceOf mathematical optimization
gptkbp:advantage faster than gradient descent for some problems
gptkbp:application curve fitting
parameter estimation
gptkbp:category gptkb:logic
gptkbp:convergesTo local minimum
gptkbp:field gptkb:mathematics
numerical analysis
statistics
gptkbp:firstDescribed 19th century
https://www.w3.org/2000/01/rdf-schema#label Gauss–Newton algorithm
gptkbp:input differentiable function
gptkbp:limitation may not converge for poor initial guess
not suitable for all nonlinear problems
gptkbp:namedAfter gptkb:Carl_Friedrich_Gauss
gptkb:Isaac_Newton
gptkbp:output parameter estimates
gptkbp:relatedTo gptkb:Newton's_method
gptkb:Levenberg–Marquardt_algorithm
gptkbp:requires Jacobian matrix
gptkbp:usedFor nonlinear least squares problems
gptkbp:bfsParent gptkb:Louis_Gauss
gptkbp:bfsLayer 6