[Yuima-commits] r149 - pkg/yuima/R
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Fri Apr 8 08:46:55 CEST 2011
Author: hinohide
Date: 2011-04-08 08:46:54 +0200 (Fri, 08 Apr 2011)
New Revision: 149
Modified:
pkg/yuima/R/asymptotic_term.R
pkg/yuima/R/simFunctional.R
Log:
bug in asymptotic_term is fixed
Modified: pkg/yuima/R/asymptotic_term.R
===================================================================
--- pkg/yuima/R/asymptotic_term.R 2011-04-08 01:16:10 UTC (rev 148)
+++ pkg/yuima/R/asymptotic_term.R 2011-04-08 06:46:54 UTC (rev 149)
@@ -1283,12 +1283,16 @@
for(k in 1:k.size){
my.x <- rbind(my.x,tmp.x)
}
- est.points <- my.x[,sample(seq(1,ncol(my.x),by=1),ncol(my.x),rep=FALSE)]
+
+ est.ind <- seq(1,ncol(my.x),by=10)
+ est.points <- my.x[,est.ind]
+ width <- diff(tmp.x)
+
tmp <- 0
- for(i in 1:ncol(est.points)){
- tmp <- tmp + gz_pi1(est.points[,i])
+ for(i in 1:(ncol(est.points)-1)){
+ tmp <- tmp + gz_pi1(est.points[,i])*width[i]
}
- tmp <- tmp/ncol(est.points)
+
## }else if( 2 <= k.size || k.size <= 20 ){ # use 'cubatur()' to solve multi-dim integration.
}else if( (2 <= k.size || k.size <= 20) && FALSE ){ # use 'cubatur()' to solve multi-dim integration.
max <- 10*lambda.max
@@ -1514,11 +1518,11 @@
## calculation
yuima.warn("Calculating d0 ...")
- print(system.time(d0 <- get.d0.term()))
+ d0 <- get.d0.term()
yuima.warn("Done\n")
yuima.warn("Calculating d1 term ...")
- print(system.time(d1 <- get.d1.term()))
+ d1 <- get.d1.term()
yuima.warn("Done\n")
terms <- list(d0=d0, d1=d1)
return(terms)
Modified: pkg/yuima/R/simFunctional.R
===================================================================
--- pkg/yuima/R/simFunctional.R 2011-04-08 01:16:10 UTC (rev 148)
+++ pkg/yuima/R/simFunctional.R 2011-04-08 06:46:54 UTC (rev 149)
@@ -111,58 +111,13 @@
dt <- Terminal/division
X <- xinit
Xt <- xinit
- ## k <- matrix(numeric(d.size^2), nrow=d.size,ncol=d.size)
-## k1 <- matrix(numeric(d.size^2), nrow=d.size,ncol=d.size)
-## k2 <- matrix(numeric(d.size^2), nrow=d.size,ncol=d.size)
-## k3 <- matrix(numeric(d.size^2), nrow=d.size,ncol=d.size)
-## k4 <- matrix(numeric(d.size^2), nrow=d.size,ncol=d.size)
+
k <- numeric(d.size)
k1 <- numeric(d.size)
k2 <- numeric(d.size)
k3 <- numeric(d.size)
k4 <- numeric(d.size)
- ##:: fix bug 07/23
- #assign(pars,0) ## epsilon=0
-
-
- ## ## runge kutta
-## for(t in 1:division){
-## ## k1
-## for(i in 1:d.size){
-## assign(modelstate[i],Xt[i])
-## }
-## for(i in 1:d.size){
-## k1[,i] <- dt*eval(V0[i])
-## }
-## ## k2
-## for(i in 1:d.size){
-## assign(modelstate[i],Xt[i]+k1[i]/2)
-## }
-## for(i in 1:d.size){
-## k2[,i] <- dt*eval(V0[i])
-## }
-## ## k3
-## for(i in 1:d.size){
-## assign(modelstate[i],Xt[i]+k2[i]/2)
-## }
-## for(i in 1:d.size){
-## k3[,i] <- dt*eval(V0[i])
-## }
-## ## k4
-## for(i in 1:d.size){
-## assign(modelstate[i],Xt[i]+k3[i])
-## }
-
-## for(i in 1:d.size){
-## k4[,i] <- dt*eval(V0[i])
-## }
-## ## V0(X(t+dt))
-## k <- (k1+k2+k2+k3+k3+k4)/6
-## Xt <- Xt+k
-## X <- rbind(X,Xt)
-## }
-
## runge kutta
for(t in 1:division){
## k1
@@ -239,7 +194,6 @@
setMethod("F0", signature(yuima="yuima"),
function(yuima, expand.var="e"){
- ##:: fix bug 07/23
X.t0 <- Get.X.t0(yuima, expand.var=expand.var)
F0 <- funcFe.(yuima, X.t0, 0, expand.var=expand.var)
return(F0)
@@ -255,7 +209,6 @@
function(yuima, expand.var="e"){
e <- gete(yuima at functional)
- ##:: fix bug 0723
Fe <- simFunctional(yuima, expand.var=expand.var)
F0 <- F0(yuima, expand.var=expand.var)
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