get.deriv.params: Get parameters to initialize numerical differentiation
In ManifoldOptim: An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
Description
Usage
Arguments
Value
Description
Get parameters to initialize numerical differentiation
Usage
1
get.deriv.params(EpsNumericalGrad = 1e-06, EpsNumericalHessEta = 1e-04)
Arguments
EpsNumericalGrad
The "epsilon" used to perturb the objective functon
when computing numerical gradients
EpsNumericalHessEta
The "epsilon" used to perturb the objective functon
when computing numerical HessEta
Value
List containing input arguments for numerical differentiation
ManifoldOptim documentation built on Dec. 15, 2021, 1:07 a.m.
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Description Usage Arguments Value
Description
Get parameters to initialize numerical differentiation
Usage
1 | get.deriv.params(EpsNumericalGrad = 1e-06, EpsNumericalHessEta = 1e-04)
|
Arguments
EpsNumericalGrad |
The "epsilon" used to perturb the objective functon when computing numerical gradients |
EpsNumericalHessEta |
The "epsilon" used to perturb the objective functon when computing numerical HessEta |
Value
List containing input arguments for numerical differentiation
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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