get.deriv.params: Get parameters to initialize numerical differentiation
In ManifoldOptim: An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
get.deriv.params R Documentation
Get parameters to initialize numerical differentiation
Description
Get parameters to initialize numerical differentiation
Usage
get.deriv.params(EpsNumericalGrad = 1e-06, EpsNumericalHessEta = 1e-04)
Arguments
EpsNumericalGrad
The "epsilon" used to perturb the objective function
when computing numerical gradients
EpsNumericalHessEta
The "epsilon" used to perturb the objective
function when computing numerical HessEta
Value
List containing input arguments for numerical differentiation
ManifoldOptim documentation built on July 13, 2026, 1:06 a.m.
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| get.deriv.params | R Documentation |
Get parameters to initialize numerical differentiation
Description
Get parameters to initialize numerical differentiation
Usage
get.deriv.params(EpsNumericalGrad = 1e-06, EpsNumericalHessEta = 1e-04)
Arguments
EpsNumericalGrad |
The "epsilon" used to perturb the objective function when computing numerical gradients |
EpsNumericalHessEta |
The "epsilon" used to perturb the objective
function when computing numerical |
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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