Levenberg-Marquardt algorithm
GPTKB entity
Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
mathematical optimization
|
| gptkbp:advantage |
robustness
fast convergence |
| gptkbp:alsoKnownAs |
damped least-squares method
|
| gptkbp:application |
parameter estimation
data fitting neural network training |
| gptkbp:category |
gptkb:logic
nonlinear optimization |
| gptkbp:combines |
gptkb:Gauss-Newton_method
gradient descent |
| gptkbp:field |
gptkb:machine_learning
gptkb:mathematics numerical analysis curve fitting |
| https://www.w3.org/2000/01/rdf-schema#label |
Levenberg-Marquardt algorithm
|
| gptkbp:namedAfter |
gptkb:Donald_Marquardt
gptkb:Kenneth_Levenberg |
| gptkbp:proposedBy |
gptkb:Donald_Marquardt
gptkb:Kenneth_Levenberg |
| gptkbp:relatedTo |
curve fitting
least squares nonlinear regression trust region methods |
| gptkbp:usedFor |
nonlinear least squares problems
|
| gptkbp:yearImproved |
1963
|
| gptkbp:yearProposed |
1944
|
| gptkbp:bfsParent |
gptkb:scipy.optimize
|
| gptkbp:bfsLayer |
7
|