Variable metric nonlinear function minimization, unconstrained
An R implementation of a variable metric method for minimization of unconstrained nonlinear functions.
See the manual Rvmmin.Rd for details.
Rvmminu(par, fn, gr, control = list(), ...)
par |
A numeric vector of starting estimates. |
fn |
A function that returns the value of the objective at the
supplied set of parameters |
gr |
A function that returns the gradient of the objective at the
supplied set of parameters Note that a gradient function MUST be provided. See the manual for
|
control |
An optional list of control settings. See the manual Rvmmin.Rd for details. Some control elements apply only when parameters are bounds constrained and are not used in this function. |
... |
Further arguments to be passed to |
This routine is intended to be called from Rvmmin
, which will, if
necessary, supply a gradient approximation. However, some users will want
to avoid the extra overhead, in which case it is important to provide an
appropriate and high-accuracy gradient routine.
Functions fn
must return a numeric value.
A list with components:
par |
The best set of parameters found. |
value |
The value of the objective at the best set of parameters found. |
counts |
A vector of two integers giving the number of function and gradient evaluations. |
convergence |
An integer indicating the situation on termination of the function.
|
message |
A description of the situation on termination of the function. |
####in Rvmmin.Rd ####
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