Nothing
bese <-
function(x,y,index,doparallel=FALSE)
{
#Output for BESE method as defined theoretically in:
#
# [1]Demetris T. Christopoulos, Developing methods for identifying the inflection point of a convex/ concave curve.
# arXiv:1206.5478v2 [math.NA], https://arxiv.org/pdf/1206.5478v2.pdf , 2014
# [2]Demetris T. Christopoulos, On the efficient identification of an inflection point,
# International Journal of Mathematics and Scientific Computing,(ISSN: 2231-5330), vol. 6(1),
# https://www.researchgate.net/publication/304557351 , 2016
#
#Contact Emails: dchristop@econ.uoa.gr or dem.christop@gmail.com
#
#Use doparallel=TRUE only for large data sets (n>20000)
#
ESE<-c();BESE<-c();a<-c(x[1]);b<-c(x[length(x)]);nped<-c(length(x));x2<-x;y2<-y;
A=ese(x,y,index,doparallel);ESE<-c(ESE,A[1,3]);BESE<-c(BESE,A[1,3]);iplast=A[1,3];
#
#ESE iterations:
#
j<-0
while (!(is.nan(A[1,3])))
{
ifelse (A[1,2]>=A[1,1]+3,
{
j<-j+1;
x2<-x2[A[1,1]:A[1,2]];y2<-y2[A[1,1]:A[1,2]];A<-ese(x2,y2,index);
ifelse(!(is.nan(A[1,3])),
{a=c(a,x2[A[1,1]]);b=c(b,x2[A[1,2]]);nped<-c(nped,length(x2));ESE<-c(ESE,A[1,3]);BESE<-c(BESE,A[1,3]);iplast=A[1,3];}
,
{break})
}
,
{break}
)
}
#
#Set output...
#
iters=as.data.frame(cbind(nped,a,b,BESE));colnames(iters)=c("n","a","b","ESE");rownames(iters)=1:length(nped);
out=list();out[["iplast"]]=iplast;out[["iters"]]=iters;
return(out)
}
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