Statements (31)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
mathematical optimization
|
| gptkbp:advantage |
global convergence properties
higher computational cost per iteration robustness to poor model accuracy |
| gptkbp:alternativeTo |
line search methods
|
| gptkbp:application |
gptkb:machine_learning
parameter estimation data fitting engineering design nonlinear least squares |
| gptkbp:component |
acceptance criterion
model function trust region radius update rule for trust region |
| gptkbp:form |
minimize model function within trust region
|
| gptkbp:hasConcept |
trust region
|
| https://www.w3.org/2000/01/rdf-schema#label |
trust-region methods
|
| gptkbp:notableFor |
gptkb:Levenberg-Marquardt_algorithm
gptkb:Dogleg_method gptkb:Powell's_dogleg_method gptkb:Steihaug-Toint_method |
| gptkbp:originatedIn |
1970s
|
| gptkbp:relatedTo |
gptkb:Newton's_method
gptkb:quasi-Newton_methods conjugate gradient method |
| gptkbp:step |
model function minimization
subproblem solution |
| gptkbp:usedFor |
nonlinear optimization
|
| gptkbp:usedIn |
numerical optimization
|
| gptkbp:bfsParent |
gptkb:scipy.optimize
|
| gptkbp:bfsLayer |
7
|