search for: glpk

I have a piece of code (from Xie et al. 2009 Autophagy 5:217) that runs in R and requires the glpk package. A year or so ago, I was able to download and install the glpk package directly from insider the R program (for Windows), and everything worked fine. Now I have installed R for Windows on a new computer, and I cannot find the glpk package on the list of available packages on my local CR...

The R interface to the GNU Linear Programming Kit (GLPK) is now available on CRAN. The R interface functions are almost identical to the native GLPK C API making it easy to move code and concepts between R and C. The GLPK package is intended for solving large-scale linear programming (LP), mixed integer linear programming (MIP), and other related prob...

The R interface to the GNU Linear Programming Kit (GLPK) is now available on CRAN. The R interface functions are almost identical to the native GLPK C API making it easy to move code and concepts between R and C. The GLPK package is intended for solving large-scale linear programming (LP), mixed integer linear programming (MIP), and other related prob...

Recently, a package for convex optimization was announced for Python, based upon the LP solver GLPK, the SDP solver in DSDP5, and the LP and QP solvers in MOSEK. I'm aware GLPK is available for R, but wondered if anyone had good packages for convex optimization along these lines for R. TIA.

Hi. I am aware of three different R packages for linear programming: glpk, linprog, lpSolve. From what I can tell, if there are N variables and M constraints, all these solvers require the full NxM constraint matrix. Some linear solvers I know of (not in R) have a sparse matrix input format. Are there any linear solvers in R that have a sparse matrix input format?...

...(0,1,0,0,1,0,1,-2.057855981,0) col3 <-c(0,0,1,0,0,1,1,-1.885177032,0) col4 <-c(-1,-1,-1,1,1,1,0,0,1) mat <- cbind(col1, col2, col3, col4) dir <- c(rep("<=", 3), rep(">=", 3), rep("==", 2), ">=") rhs <- c(rep(0, 7), 1, 0) sol <- Rglpk_solve_LP(obj, mat, dir, rhs, types = NULL, max = FALSE, bounds = c(-100,100), verbose = TRUE) The R output says there is no feasible solution, but e.g. (-2.3756786, 0.3297676, 2.0459110, 2.3756786) is feasible. The output is "GLPK Simplex Optimizer, v4.42 9 rows, 4 columns, 19 non-zeros...

...Do your own benchmarking, on the stuff that matters to you. It's the > only fair benchmark you'll ever see. I agree, but this is somewhat extreme point of view. Some general comparisons could also be of interest. For example, performance comparison of some deterministic software like GLPK solver, or compiler itself would be interesting to see. Yuri

Does anyone know whether R has its own modeling language for optimization problems (like SIMPLE in NuOPT for S-plus)? Paolo

Dear listers, a central problem in conservation biology is the selection of sites in reserve network design. many algorithms have been published, and I was wondering any have been implemented in R. I did not seen anything on CRAN or R-help, or on the web in general. Best regards, Eric Eric Pante ---------------------------------------------------------------- College of Charleston, Grice

Hello everybody, I am looking for a function (or package) which can solve a integer optimization problem. I have found the glpk package but I don't known very well how to use it. Someone has another solution ? thx

Dear everyone, I don't know much about Integer Programming but am afraid I am facing a problem that can only be solved via Integer Programming. I was wondering if those of you who have experience with it could recommend an R package. I found the following R packages: Rglpk glpk lpSolve lpSolveAPI Are there any others? Are some of them easier to use than others for a beginner? Any advice would be greatly appreciated! -- Dimitri Liakhovitski MarketTools, Inc. Dimitri.Liakhovitski at markettools.com

Can optimisation (simplex etc) be done through R?

I listened to the Oracle webcast about their new upcoming development tools. They mentioned that their C/C++ compiler "far outperforms all open source alternatives". I asked the question if they have any benchmark URL supporting this statement. They actually answered. They said that they stopped publishing benchmark results. But they said that on Intel platform their compiler

> They actually answered. They said that they stopped publishing benchmark > results. And if they did, they wouldn't mean anything to you. Do your own benchmarking, on the stuff that matters to you. It's the only fair benchmark you'll ever see.

If output is NULL it is not permissable to dereference it. So we should leave the respective function in this case. The inconsistency was indicated by cppcheck. No actual NULL pointer dereference was observed. Signed-off-by: Heinrich Schuchardt <xypron.glpk at gmx.de> --- drivers/gpu/drm/virtio/virtgpu_plane.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/drivers/gpu/drm/virtio/virtgpu_plane.c b/drivers/gpu/drm/virtio/virtgpu_plane.c index 925ca25..ba28c0f 100644 --- a/drivers/gpu/drm/virtio/virtgpu_plane.c +++ b/driver...

If output is NULL it is not permissable to dereference it. So we should leave the respective function in this case. The inconsistency was indicated by cppcheck. No actual NULL pointer dereference was observed. Signed-off-by: Heinrich Schuchardt <xypron.glpk at gmx.de> --- drivers/gpu/drm/virtio/virtgpu_plane.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/drivers/gpu/drm/virtio/virtgpu_plane.c b/drivers/gpu/drm/virtio/virtgpu_plane.c index 925ca25..ba28c0f 100644 --- a/drivers/gpu/drm/virtio/virtgpu_plane.c +++ b/driver...

Hi, I am attempting to solve a Mixed Integer Non Linear Program using R. I am aware of the GLPK package that solved mixed integer linear programs, and the Rdonlp2 package that solve linear programs. Is there any package that that solves the MINLP case? Any info or pointers would be greatly appreciated. Jonathan.

...: octave --> Processing Dependency: libcolamd.so.2 for package: octave --> Processing Dependency: libfftw3.so.3 for package: octave --> Processing Dependency: libccolamd.so.2 for package: octave --> Processing Dependency: libblas.so.3 for package: octave --> Processing Dependency: libglpk.so.0 for package: octave --> Processing Dependency: libcholmod.so.1 for package: octave --> Processing Dependency: libamd.so.2 for package: octave --> Processing Dependency: gnuplot for package: octave --> Processing Dependency: libcxsparse.so.2 for package: octave --> Processing Dep...

...omputer algebra systems o the Quantlib quantitative finance library incl. the Python interface o the OpenDX and Mayavi data visualization systems o TeXmacs for wysiwyg (La)TeX editing o and various other programs such apcalc, aribas, autoclass, euler, evolver, freefem, gambit, geg, geomview, glpk, gnuplot, gperiodic, gmt, gretl, lp-solve, mcl, multimix, rasmol, plotutils, pgapack, pspp, pdl, rcalc, yorick and xlispstat while at the same time retaining programs and features already in Knoppix: o Auto-configuration of graphics, sound, disks, networking, auxiliary devices which i...

...ary information Loading required package: adapt Loading required package: fAssets Loading required package: robustbase Attaching package: 'fAssets' The following object(s) are masked from package:fCopulae : .mvstFit Loading required package: quadprog Loading required package: Rglpk Loading required package: slam Attaching package: 'slam' The following object(s) are masked from package:timeSeries : colMeans, colSums The following object(s) are masked from package:base : colMeans, colSums, rowMeans, rowSums Using the GLPK ca...