cplfunctionvec {ConConPiWiFun} | R Documentation |
This class implements "optimized list" of continuous convex piecewise linear functions
Description
This is a wrapper to stl vector of convex piecewise linear functions. Allows to loop efficiently on such list.
Author(s)
Robin Girard
See Also
to See Also as cplfunction
, cpqfunctionvec
Examples
####
# construction of a vector of
# continuous convex piecewise linear functions
CCPWLfuncList=new(cplfunctionvec)
CCPWLfuncList$push_back(new(cplfunction,c(-1,1) ,c(-Inf,0),0))
CCPWLfuncList$push_back(new(cplfunction,c(-1,1) ,c(-Inf,0),0))
CCPWLfuncList=new(cplfunctionvec)
n=1000; Y=rnorm(n); S1=array(-1,n);S2=array(1,n); B0=array(-Inf,n); B1=rnorm(n);
for (i in 1:n){
CCPWLfuncList$push_back(new(cplfunction,c(S1[i],S2[i]) ,c(B0[i],B1[i]),0))
}
CCPWLfuncList$size() ## gives the size
## The same but faster
CCPWLfuncList=new(cplfunctionvec)
CCPWLfuncList$SerialPush_2Breaks_Functions(S1,S2,B0,B1);
#### method OptimMargInt solves
# min_x sum_i=1^n C_i(x_i)
# Pmoins_i<= x_i <=Pplus_i i=1,...,n
# Cmoins_i<= sum_j=1^i x_j <=Cplus_i i=1,...,n
Pmoins=array(-1,n);Pplus=array(1,n);Cmoins=array(0,n);Cplus=array(5,n);
res=CCPWLfuncList$OptimMargInt(Pmoins,Pplus,Cmoins,Cplus)
par(mfrow=c(1,2))
plot(Y,type='l',ylim=range(res$xEtoile))
lines(y=Pmoins,x=1:n,col='blue'); lines(y=Pplus,x=1:n,col='blue');
lines(y=res$xEtoile,x=1:n,col='red')
text(x=800,y=3,paste("Optimum=",signif(sum(abs(res$xEtoile-Y)),digits=6)))
plot(Y,type='l',ylim=c(min(Y),max(diffinv(res$xEtoile)[1:n+1])))
lines(y=Cmoins,x=1:n,col='blue'); lines(y=Cplus,x=1:n,col='blue');
lines(y=diffinv(res$xEtoile)[1:n+1],x=1:n,col='red')
rm(list=ls())
gc()
[Package ConConPiWiFun version 0.4.6.1 Index]