search for: lowerbound

Dear LLVM, Consider two loops with one interation - First with constant lower bound, second with usual non-constant lower bound: int main(int argc, char ** argv) { int numOfIterations= 1; int stride=1; int lowerBound = 1000; - 1st | int lowerBound = argc; - 2nd int upperBound = lowerBound + (numOfIterations - 1)*stride; int i = lowerBound; int s = 0; while(i <= upperBound) { s += i; i++; } return s; } After the application...

...;     Consider two loops with one interation - >>     First with constant lower bound, second with usual non-constant lower bound: >> >>     int main(int argc, char ** argv) >>     { >>         int numOfIterations= 1; >>         int stride=1; >>         int lowerBound = 1000; - 1st | int lowerBound = argc; - 2nd >>         int upperBound = lowerBound + (numOfIterations - 1)*stride; >> >>         int i = lowerBound; >> >>         int s = 0; >>         while(i <= upperBound) >>         { >>            s += i; >...

...Dear LLVM, > > Consider two loops with one interation - > First with constant lower bound, second with usual non-constant lower bound: > > int main(int argc, char ** argv) > { > int numOfIterations= 1; > int stride=1; > int lowerBound = 1000; - 1st | int lowerBound = argc; - 2nd > int upperBound = lowerBound + (numOfIterations - 1)*stride; > > int i = lowerBound; > > int s = 0; > while(i <= upperBound) > { > s += i; > i++; >...

...one interation - >>> First with constant lower bound, second with usual non-constant lower bound: >>> >>> int main(int argc, char ** argv) >>> { >>> int numOfIterations= 1; >>> int stride=1; >>> int lowerBound = 1000; - 1st | int lowerBound = argc; - 2nd >>> int upperBound = lowerBound + (numOfIterations - 1)*stride; >>> >>> int i = lowerBound; >>> >>> int s = 0; >>> while(i <= upperBound) >>> { &g...

...insaw that can as easily cut your arm off as saw a log. JN On 05/01/2012 06:00 AM, r-help-request at r-project.org wrote: > Message: 54 Date: Mon, 30 Apr 2012 08:30:24 -0700 (PDT) From: barb <mainzel89 at hotmail.com> > To: r-help at r-project.org Subject: [R] Optim (fct): Parameters=LowerBounds!? Message-ID: > <1335799824557-4598504.post at n4.nabble.com> Content-Type: text/plain; charset=UTF-8 Hey, i > am trying to do the MLE for Garch and have a problem with the optim function. Initally i > tried optim with Method=BFGS. Reading trhough the forum i found out i would neet...

...how to do that in optim. Mo.vect <- as.vector(tail(head(mo,i),1)) wgt.vect <- as.vector(tail(head(moWeightsMax,i),1)) cov.mat <- cov(tail(head(morets,i+12),12)) opt.fun <- function(wgt.vect) -sum(Mo.vect %*% wgt.vect) / (t(wgt.vect) %*% (cov.mat %*% wgt.vect)) LowerBounds<-c(0.2,0.05,0.1,0,0,0) UpperBounds<-c(0.6,0.3,0.6,0.15,0.1,0.2) OptimSolution<-optim(wgt.vect, fn=opt.fun, method="L-BFGS-B",lower=LowerBounds,upper=UpperBounds) Any thoughts are appreciated! Mike Michael Ashton, CFA Managing Principal Enduring Investments LLC W:...

...≥ 0 (unless constant) │ │ Cmp2: Size ≥ Offset ┆ ┆ Cmp3: ObjSize ≥ NeededSize I am looking at generating IR like this: %upperbound = getelementptr inbounds i64* %memobj, i64 %elements %end = getelementptr inbounds i64* %ptr, i64 1 %ilowerbound = ptrtoint i64* %memobj to i64 %iupperbound = ptrtoint i64* %upperbound to i64 %iptr = ptrtoint i64* %ptr to i64 %iend = ptrtoint i64* %end to i64 %cmpl = icmp ult %iptr, %ilowerbound %cmpu = icmp ult %iupperbound, %iend %9 = or i1 %cmpl, %cmpu br i1 %11, label %trap, label %12...

...; Mo.vect <- as.vector(tail(head(mo,i),1)) > wgt.vect <- as.vector(tail(head(moWeightsMax,i),1)) > cov.mat <- cov(tail(head(morets,i+12),12)) > opt.fun <- function(wgt.vect) -sum(Mo.vect %*% wgt.vect) / (t(wgt.vect) %*% (cov.mat %*% wgt.vect)) > > LowerBounds<-c(0.2,0.05,0.1,0,0,0) > UpperBounds<-c(0.6,0.3,0.6,0.15,0.1,0.2) > > OptimSolution<-optim(wgt.vect, fn=opt.fun, method="L-BFGS-B",lower=LowerBounds,upper=UpperBounds) > > > Any thoughts are appreciated! > > Mike > > Michael Ashton, CFA &g...

...ddressable (e.g., a char buffer) - ptr points to the last few bytes of the address space (with a large offset, but starting in bounds) - the information read/written is large and therefore there's an overflow in the memory addresses that are accessed. In this case, you'll have ptr > lowerbound and end < upperbound. The bad part is that end < ptr. I thought a bit on the subject and I couldn't find any solution with just 2 branches. The exception I found is if the size of an allocated object is always smaller than half of the address space (which seems a reasonable assumptio...

...t;- as.vector(tail(head(mo,i),1)) >> wgt.vect <- as.vector(tail(head(moWeightsMax,i),1)) >> cov.mat <- cov(tail(head(morets,i+12),12)) >> opt.fun <- function(wgt.vect) -sum(Mo.vect %*% wgt.vect) / (t(wgt.vect) %*% (cov.mat %*% wgt.vect)) >> >> LowerBounds<-c(0.2,0.05,0.1,0,0,0) >> UpperBounds<-c(0.6,0.3,0.6,0.15,0.1,0.2) >> >> OptimSolution<-optim(wgt.vect, fn=opt.fun, method="L-BFGS-B",lower=LowerBounds,upper=UpperBounds) >> >> >> Any thoughts are appreciated! >> >> Mik...

...buffer) > - ptr points to the last few bytes of the address space (with a large > offset, but starting in bounds) > - the information read/written is large and therefore there's an > overflow in the memory addresses that are accessed. > > In this case, you'll have ptr > lowerbound and end < upperbound. The bad > part is that end < ptr. > > > I thought a bit on the subject and I couldn't find any solution with > just 2 branches. > The exception I found is if the size of an allocated object is always > smaller than half of the address space (whic...

...it on the second DC by overwriting it with the idmap.ldb from> the first.> > Let me have a look at the classicupgrade code and get back to you, it shouldn't create xidNumbers like that. Speaking of which, can you check> in idmap.ldb for the DN 'dn: CN=CONFIG'. What are 'lowerBound' and 'upperBound' set to ? You're right, I remember dumping of that file and copying to second DC. Interesting is, that on Samba 4.2 there was no problem about sysvolcheck/reset: UIDs/GIDs were absolutely same, I didn't do any changes on them.ldbsearch -H /var/lib/samba/private/...

...ed array, that has indices from 1 to 10 for the rows and 2 to 11 for the columns. TYPE(t) :: array(10,2:11) For this declaration, the compiler generates the following LLVM metadata. !100 = !DIFortranArrayType(baseType: !7, elements: !101) !101 = !{ !102, !103 } !102 = !DIFortranSubrange(constLowerBound: 1, constUpperBound: 10) !103 = !DIFortranSubrange(constLowerBound: 2, constUpperBound: 11) The DWARF generated for this is as follows. (DWARF asserts in the standard that arrays are interpreted as column-major.) DW_TAG_array_type: DW_AT_name: array DW_AT_type...

...head(mo,i),1)) >>> wgt.vect <- as.vector(tail(head(moWeightsMax,i),1)) >>> cov.mat <- cov(tail(head(morets,i+12),12)) >>> opt.fun <- function(wgt.vect) -sum(Mo.vect %*% wgt.vect) / (t(wgt.vect) %*% (cov.mat %*% wgt.vect)) >>> >>> LowerBounds<-c(0.2,0.05,0.1,0,0,0) >>> UpperBounds<-c(0.6,0.3,0.6,0.15,0.1,0.2) >>> >>> OptimSolution<-optim(wgt.vect, fn=opt.fun, method="L-BFGS-B",lower=LowerBounds,upper=UpperBounds) >>> >>> >>> Any thoughts are appreciated! &...

...t; wgt.vect <- as.vector(tail(head(moWeightsMax,i),1)) > >>> cov.mat <- cov(tail(head(morets,i+12),12)) > >>> opt.fun <- function(wgt.vect) -sum(Mo.vect %*% wgt.vect) / > (t(wgt.vect) %*% (cov.mat %*% wgt.vect)) > >>> > >>> LowerBounds<-c(0.2,0.05,0.1,0,0,0) > >>> UpperBounds<-c(0.6,0.3,0.6,0.15,0.1,0.2) > >>> > >>> OptimSolution<-optim(wgt.vect, fn=opt.fun, method="L-BFGS-B",lower= > LowerBounds,upper=UpperBounds) > >>> > >>> > >>...

Hi, You can use the projectLinear argument in BB::spg to optimize with linear equality/inequality constraints. Here is how you implement the constraint that all parameters sum to 1. require(BB) spg(par=p0, fn=myFn, project="projectLinear", projectArgs=list(A=matrix(1, 1, length(p0)), b=1, meq=1)) Hope this is helpful, Ravi [[alternative HTML version deleted]]

...s as an RFC with llvm-dev. The proposed change is to extend the 'count' field to also accept a Metadata node, rather than only accepting a signed integer. For example: !10 = !DILocalVariable(name: "count", scope: !8, file: !6, line: 42, type: !9) !11 = !DISubrange(count !10, lowerBound: 0) ^^^ references the local variable This allows specifying the size of an array by referencing the DIE of a local variable that holds the size expression. Another reason to extend the count field is to specify the length with a DIExpression. For instance, we need this t...

Hi, > Could you provide a bit of background of the expected domains of Size and > Offset? In particular, are they signed or unsigned integers? A > non-negative size doesn't seem to make much sense in this context, but > depending on how it's calculated I could see it arising. Is a zero Size > something that might arise here? I'm assuming the Offset comes from an

...enerates the following LLVM metadata. !100 = !DIFortranArrayType(baseType: !7, elements: !101) Since the DI* hierarchy really just is the DWARF type hierarchy, I don't think we will need to introduce any fortran-specific names for arrays. !101 = !{ !102, !103 } !102 = !DIFortranSubrange(constLowerBound: 1, constUpperBound: 10) !103 = !DIFortranSubrange(constLowerBound: 2, constUpperBound: 11) The DWARF generated for this is as follows. (DWARF asserts in the standard that arrays are interpreted as column-major.) DW_TAG_array_type: DW_AT_name: array DW_AT_type: 4d08...

...al ############################################################### nci <-function () { npb.n.L <- r.value - 1.96*sqrt(npb.var) npb.n.U <- r.value + 1.96*sqrt(npb.var) npb.n <- array(data = c( npb.n.L, npb.n.U), dim = c(1,2), dimnames = list("Estimates" ,c("LowerBound","UpperBound"))) npb.n.CI <- list( Type = "Normal Confidence Interval", ConfidenceInterval= npb.n) npb.n.CI } I use the source() function to include these "secondary/sub" functions, just before they are called the main function. I get an Error...