search for: ubounded

Dear all, In our compiler we use a modified version LLVM Polly, which is very sensitive to proper code generation. Among the number of limitations, the loop region (enclosed by phi node on induction variable and branch) is required to be free of additional memory-dependent branches. In other words, there must be no conditional "br" instructions below phi nodes. The problem we are facing

Dear all, This is a simple probability problem. I want to know, How to generate a normal distribution with mean=1, min=0.2 and max=0.8? I know how the generate a normal distribution of mean = 1 and sd = 1 and with 500 data point. rnorm(n=500, m=1, sd=1) But, I am confusing with how to generate a normal distribution with expected min and max. I expect to hear your directions. Thanks in

...dress several issues causing memory usage to grow > indefinetely on a long lived process. > > These are not convenional leaks -- memory would have been freed when the LLVM > context or/and JIT engine is destroyed -- but for as long as they aren't the > memory is usage effectively ubounded. > > The issues were found using valgrind with '--show-reachable=yes' option: > 1. Compile a bunch of functions with JIT once; delete the result; and exit >   without destroying LLVM context nor JIT engine. (valgrind will report a >   bunch of unfreed LLVM objects) > 2. Do...

Hi Duncan, A DragonEgg/GCC-related question: do you know where these strange FRAME tokens originate from (e.g. %struct.FRAME.matmul)? Compiling simple Fortran code with DragonEgg: > cat matmul.f90 subroutine matmul(nx, ny, nz) implicit none integer :: nx, ny, nz real, dimension(nx, ny) :: A real, dimension(ny, nz) :: B real, dimension(nx, nz) :: C integer :: i, j, k real,

Hi, I have a question about the computation of confidence intervals in the zyp package, in particular using the functions zyp.sen and confint.zyp, or zyp.yuepilon. (1) I'm a bit confused about the confidence intervals given by zyp.sen and confint.zyp. When I request a certain confidence interval in the function, the R output seems to deliver another confidence interval, e.g. when I set

According to comment in tree-nested.c, these frames should be only introduced in case of debug or OpenMP lowering: /* A subroutine of convert_nonlocal_reference_op. Create a local variable in the nested function with DECL_VALUE_EXPR set to reference the true variable in the parent function. This is used both for debug info and in OpenMP lowering. */ However, in this code example we

I have a problem where I need to have a "driver" style R program that will extend itself, given more 'source("extra.R")' style lines. IE: easy to modify by other people. The problem becomes when I would like to create an array or list of functions. Each function, possibly hundreds of them, are really created by other programs, generating an *.R file. So for

There's a new page on the Burns Statistics website http://www.burns-stat.com/pages/Tutor/spreadsheet_addiction.html that looks at spreadsheets from a quality assurance perspective. It presents R as a suitable alternative to spreadsheets. Also there are several specific problems with Excel that are highlighted, including the status of statistical functionality in Excel. Patrick Burns Burns

...his series of patches address several issues causing memory usage to grow indefinetely on a long lived process. These are not convenional leaks -- memory would have been freed when the LLVM context or/and JIT engine is destroyed -- but for as long as they aren't the memory is usage effectively ubounded. The issues were found using valgrind with '--show-reachable=yes' option: 1. Compile a bunch of functions with JIT once; delete the result; and exit without destroying LLVM context nor JIT engine. (valgrind will report a bunch of unfreed LLVM objects) 2. Do as 1, but compile and del...

Can anyone recommend a good nonparametric density approach for data bounded (say between 0 and 1)? For example, using the basic Gaussian density approach doesn't generate a very realistic shape (nor should it): > set.seed(1) > dat <- rbeta(100, 1, 2) > plot(density(dat)) (note the area outside of 0/1) The data I have may be bimodal or have other odd properties (e.g. point mass

Dear R users, I've just posted a similar question about Illustrator. This time I would like to export the results of my statistic tables and my dataframes into Excel files. Up to now I've used write.csv(), but I have to resave every file in .xls in Excel. I would like to know if there is a function or package to export directly into *.xls. I have found xlsReadWrite which would be

The Wine maintenance release 3.0.1 is now available. What's new in this release (see below for details): - Various bug fixes - Translation updates The source is available from the following locations: https://dl.winehq.org/wine/source/3.0/wine-3.0.1.tar.xz http://mirrors.ibiblio.org/wine/source/3.0/wine-3.0.1.tar.xz Binary packages for various distributions will be available from:

The Wine development release 2.21 is now available. What's new in this release (see below for details): - Still more metafile support in GdiPlus. - Indirect draws support in Direct 3D. - Calling convention fixes on ARM. - Improved serial port detection on Linux. - Services fixes on WoW64. - Better DPI scaling in the Shell Explorer. - Various bug fixes. The source is available

The Wine development release 3.1 is now available. What's new in this release (see below for details): - Kerberos authentication support. - Window class redirection for Common Controls 6. - Support for X11 ARGB visuals. - DOSBox required for running DOS executables. - Various bug fixes. The source is available from the following locations:

The Wine development release 1.3.6 is now available. What's new in this release (see below for details): - Support for GStreamer filters. - Mapping of standard cursors to native desktop cursors. - Improved support for installers with services. - Many MSXML improvements. - Decoder for TGA-format images. - Translation updates. - Various bug fixes. The source is available from the