similar to: Linear programming problem, RGPLK - "no feasible solution".

Dear All, Thank you for the replies to my first thread here: http://r.789695.n4.nabble.com/global-optimisation-with-inequality-constraints-td3799258.html. So far the best result is achieved via a penalised objective function. This was suggested by someone on this list privately. I am still looking into some of the options mentioned in the original thread, but I have been advised that there may

Hi list, in the Rglpk_solve_LP function (::Rglpk), on line 26, the function calls a function as.glp_bounds() that i cannot access. i'm trying to alter the Rglpk_solve_LP function to add a line to retrieve column/row dual values. everytime i change the slightest line of code inside Rglpk_solve_LP() [to even add a print] i get a ': could not find function "as.glp_bounds"'

Hi All Apologies if this is not the correct list for this question. The Rglpk package offers the following example in its documentation library(Rglpk) ## Simple mixed integer linear program. ## maximize: 3 x_1 + 1 x_2 + 3 x_3 ## subject to: -1 x_1 + 2 x_2 + x_3 <= 4 ## 4 x_2 - 3 x_3 <= 2 ## x_1 - 3 x_2 + 2 x_3 <= 3 ## x_1, x_3 are non-negative integers ## x_2 is a non-negative real

How to define bounds for a semi continous variable in lp_solve. Min 5x1 +9x2 +7.15x3 +0.1x4 subject to x1+x2+x3+x4=6.7 x1+x4 <= 6.5 And x3 can be 0 or greater than 3.6 hence x3 is a semi continous variable how to define bounds as well as semicontinous function because using set.semicont and set. bound simantaneously doesn't seem to work.Thanks in advance for the help -- View this

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

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 problems. The GLPK library includes the

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 problems. The GLPK library includes the

Dear friends. I am using function constrOptim(c(0.5,0.3,0.5), fit.error, fit.error.grr, ui=-1*ui,ci=-1*ci) and I am confronted with error message "initial value not feasible" I plug in the initial value of (0.5,0.3,0.5) to function fit.error and fit.error.grr and have pretty reasonable result. I inequality "ui %*% theta - ci >= 0" as suggested in the R manual and it is

Hi, I boot lots of headless virtual machines through Syslinux, and it bothers me that serial emulation must be turned on for the sake of bootloader interaction only. Would it be feasible to add virtio console support to Syslinux besides VGA and serial console? Some PCI utility functions are certainly there, but is the current architecture up to early PCI I/O? Or is this something that the BIOS

Dear list, I'm currently writing a C code to compute the (composite) likelihood - well this is done but not really robust. The C code is wrapped in an R one which call the optimizer routine - optim or nlm. However, the fitting procedure is far from being robust as the parameter space depends on the parameter - I have a covariance matrix that should be a valid one for example. Currently,

> Hello > > I'm currently using Monte Carlo techniques to estimate prices (variable not static) from the following type of data: > > << OLE Object: Microsoft Excel Worksheet >> > > > > Each row is a record from group A and the cells in all but the last column are the volumes of 'widgets' in the record. The last column is the cost of all

My data are (for one experiment): 3 Types of plant (1,2,3) 4 Species per Type (ex:for type 1(a,b,c,d), for type 2(e,f,g,h) and for type 3(i,j,k,l) 8 Repetitions of each Species 3 Stages (10, 20, 30) 2 Measures per Stages, for the stages 20 and 30 (ex: for Stage 10(C), for Stage 20 (A and B) and for Stage 30 (A and B) 3 Types x 4 Species(Type) x 8 Repetitions x

Hello at all, working with a dataset I try to optimize a non-linear function with constraint. test<-read.csv2("C:/Users/Herb/Desktop/Opti/NORM.csv") fkt<- function(x){ a<-c(0) s<-c(0) #Minimizing square error for(j in 1:107){ s<-(test[j,2] - (x[1] * test[j,3]) - (x[2] * test[j,4]) - (x[3]*test[j,5]) - (x[4]*test[j,6]) - (x[5]*test[j,7]))^2 a<- a+s} a<-as.double(a)

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? (including the

Hello, Please tell me if it's possible to use tinc together with OSPF (instead of static routes in LAN). By OSPF I mean Quagga's GNU/Linux daemon. Namely, I have a group of LANs (private 192.168.x.0/24 each). Each LAN has a GNU/Linux default gateway, 192.168.x.1, that also connects to the Internet via a public IP address (does NAT and firewall for the LAN "behind" it). tinc

Hi folks, I think we need to update compat5x binary to fix FreeBSD-SA-05:21.openssl, but will the binaries built by ``make universe'' be identical with actual build on Alpha, Sparc64, etc? (Yes, I'm volunteering to do the work iff they are identical ;-) Cheers, -- Xin LI <delphij frontfree net> http://www.delphij.net/ See complete headers for GPG key and other information.

Hi, I''ve a local LAN consisting of about 150 machines. I''m using a Linux machine as the gateway machine which inturn connects to two different ISPs. My question is can a Linux based machine match the performance of a hardware based routers provided by Cisco,... OR is my decision to go for a Linux based solution is a wrong one?. Is there so much difference between these

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

Can optimisation (simplex etc) be done through R?