VIR | R Documentation |
functions of the Nikaido Isoda Reformulation of the GNEP
gapVIR(x, y, dimx, grobj, arggrobj, param=list(), echo=FALSE)
gradxgapVIR(x, y, dimx, grobj, arggrobj, heobj, argheobj, param=list(), echo=FALSE)
gradygapVIR(x, y, dimx, grobj, arggrobj, param=list(), echo=FALSE)
fpVIR(x, dimx, obj, argobj, joint, argjoint,
grobj, arggrobj, jacjoint, argjacjoint, param=list(),
echo=FALSE, control=list(), yinit=NULL, optim.method="default")
x , y |
a numeric vector. |
dimx |
a vector of dimension for |
obj |
objective function (to be minimized), see details. |
argobj |
a list of additional arguments. |
grobj |
gradient of the objective function, see details. |
arggrobj |
a list of additional arguments of the objective gradient. |
heobj |
Hessian of the objective function, see details. |
argheobj |
a list of additional arguments of the objective Hessian. |
joint |
joint function, see details. |
argjoint |
a list of additional arguments of the joint function. |
jacjoint |
gradient of the joint function, see details. |
argjacjoint |
a list of additional arguments of the joint Jacobian. |
param |
a list of parameters. |
control |
a list with control parameters for the fixed point algorithm. |
yinit |
initial point when computing the fixed-point function. |
optim.method |
optimization method when computing the fixed-point function. |
echo |
a logical to show some traces. |
gapVIR
computes the Nikaido Isoda function of the GNEP, while gradxgapVIR
and gradygapVIR
give its gradient with respect to x
and y
.
fpVIR
computes the fixed-point function.
A vector for funSSR
or a matrix for jacSSR
.
Christophe Dutang
A. von Heusinger & J. Kanzow (2009), Optimization reformulations of the generalized Nash equilibrium problem using Nikaido-Isoda-type functions, Comput Optim Appl .
F. Facchinei, A. Fischer and V. Piccialli (2009), Generalized Nash equilibrium problems and Newton methods, Math. Program.
See also GNE.fpeq
.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.