similar to: lbfgsb from C

Can anyone help me with lbfgsb (function for optimization)? It takes the following parameters: void lbfgsb (int n, int lmm, double *x, double *lower, double *upper, int *nbd, double *Fmin, optimfn fn, optimgr gr, int *fail, void *ex, double factr, double pgtol, int *fncount, int *grcount, int maxit, char *msg, int trace, int nREPORT); What do I put for parameter ex (11th parameter)? I looked at

Dear list, I was trying to use the R API for optimization method "Simulated annealing" void samin(int n, double *x, double *Fmin, optimfn fn, int maxit, int tmax, double temp, int trace, void *ex); but I encountered the following problem: The implementation of the function samin (as seen in src/main/optim.c) passes its void * argument "ex" into the function

I've searched to find examples of how to work with the C versions of optim. I've separated out the function just to test on it alone, and currently I'm attempting to use fmmin as follows: !~~CODE ~~! double optimfn(int n, double *par, void *ex) { double * lambda = (double*)malloc(sizeof(double)*n); double sum = 0; for(int i =0; i < n; i++) { lambda[i] =

Hello, I get a segfault when running glmmboot in my own package glmmML. Has happened many time before, but this time I get no hint of where in my C functions the error might be. I give the output below. Can this be an R bug? I suspect it has to do with repeated calls to 'vmmin' like this: for (...){ vmax = vmaxget(); vmmin(*p, b, &Fmin, bfun,

I am trying to use the R API to call optim functions (nmmin, vmmin, lbfgsb, etc.) through a C program but I couldn't find the shared library to link under the R-2.6.0 build which is compiled under Linux (REL5). main.cpp:35: undefined reference to `Rf_initEmbeddedR(int, char**)' main.cpp:41: undefined reference to `nmmin' Thanks in advance for any help. ------------------------

Hi, I would like to call R's lbfgsb function from my C/C++ code by including R_ext/Applic.h and linking against libR. Currently, I am allocating memory for x (and the other input arrays for lbfgsb) in my C/C++ code via malloc/new. However, this gives a segmentation fault when executing the program. I tried to allocate x via PROTECT(x = NEW_NUMERIC(n)); x_p = NUMERIC_POINTER(x);. This compiles

Dear All, I am trying to solve the optimization problem below, but I am always getting the following error: Error in optim(rep(20, nvar), f, gr, method = "L-BFGS-B", lower = rep(0, : L-BFGS-B needs finite values of 'fn' Any ideas? Thanks in advance, Paul ----------------------------------------------- k <- 10000 b <- 0.3 f <- function(x) { n <- length(x)

Hi I have a FORTRAN version of the L-BFGS-B algorithm and I was comparing it to the code in the lbfgsb.c file available at R-4.0.0.tar.gz Everithing looks the same, except for those two lines that must be printed by the prn3lb function in case of an error (lines 3559 and 3561 in lbfgsb.c): case -5: Rprintf("l(%d) > u(%d). No feasible solution", k, k); break; case -7:

Hi! I'm trying to figure out how to use optim... I get some really strange results, so I guess I got something wrong. I defined the following function which should be minimized: errorFunction <- function(localShifts,globalShift,fileName,experimentalPI,lambda) { lambda <- 1/sqrt(147) # error <- abs(errHuber(localShifts,globalShift, #

Hello, It appears that the file ./appl/lbfgsb.c defines setulb() as a static function, and it is included in optim.c, so setulb() is not exported by the R library. I have some sofware that uses setulb() directly, and I would prefer to avoid having to recompile this sofware to export that function. Is there any way to get access to setulb(), or must I use the lower and upper params in optimix?

Hello, S-plus and R helpers,(sorry for cross-post) I wrote some simple C code for one likelihood to be optimized (using optim(MASS)). I use same function, same data, same starting points and same DLL in R and S-plus for comparison. (I compiled it with 'Rcmd SHLIB likelihood.c' and the header files of it include only R.h and math.h). While it works quite fine in S-plus, it forever returns

optim ignores misspelled control parameters, so that trying to set (e.g.) "maxint=1000" in the control argument silently does nothing. The patch below (watch out for line breaks! also posted at http://www.zoo.ufl.edu/bolker/optim_patch.R , and http://www.zoo.ufl.edu/bolker/optim_new.R) adds three lines to optim.R that issue a warning if any names of elements of "control" fail

Hi, I'm trying to get a toy program making use of nmmin to run successfully. I've gotten to the point of compiling. However, when I attempt to run my executable, I guess a bus error. I see that someone else has asked about using nmmin before <http://tolstoy.newcastle.edu.au/R/help/06/03/23944.html>, but I haven't come across any replies. Is there some documentation on how to

Hello, I wonder why the control parameter REPORT is not supported by method SANN. Looking into optim.c I found an internal constant: #define STEPS 100 ... and decreasing this to 10 helped me fine-tuning the annealing parameters in an actual problem. Is there any reason why not passing nREPORT to samin and setting something like: STEPS = nREPORT / tmax Thomas P. -- Thomas Petzoldt

Hi, I have read R's Writing Extensions manual and am still confused about how to use some of the routines there when I call from C. Specifically, I am writing a little test function which I will optimize using the nmmin function which underlies R's optim() with Nelder-Mead. I guess I wonder what library/header files I should be using. I was using R_ext/Applic.h and linking with libR but I

Hi, a while ago I posted a question regarding the use of alternative models, including a quasibinomial mixed-effects model (see Results 1). I rerun the exact same model yesterday using R 2.7.2 and lme4_0.999375-26 (see Results 2) and today using R 2.7.2 and lme4_0.999375-27 (see Results 3). While the coefficient estimates are basically the same in all three regressions, the estimated standard

My code is as follows: #include <iostream> #include <cmath> using namespace std; #define MATHLIB_STANDALONE 1 extern "C" { #include "R_ext/Applic.h" } typedef struct TT{ double ** tempX; double * tempY; int tempN; } TT, *MM; double fn(int N, double * beta, void * ex){ double total = 0; int i = 0,j = 0; double * betaFn = new double[N]; MM tmp = (MM)ex;

Full_Name: Geordon Marchak Version: R-1.3.1 OS: Solaris 2.6 Submission from: (NULL) (199.67.239.91) Got the following error when compiling on Solaris 2.6 with the standard GNU gcc package (from the Sun site). BTW - linux compiles no problem (and fast too :-) # make `Makedeps' is up to date. gcc -I. -I../../src/include -I../../src/include -I/usr/local/include -DHAVE_CONFIG_H -g -O2 -c

Full_Name: Chris Pelton Version: R-1.5.0 OS: Solaris & Submission from: (NULL) (169.237.121.210) I am unable to compile R-1.5.0, and am getting the following errors with make. I searched through the buglist and didn't see anything similar, although I wouldn't doubt if I was just using the wrong version of something. gcc version 3.0.3 gcc -I. -I../../src/include

Hi, I am using optim with a L-BFGS-B method to minimize a function. As I've understood, the way to specify a tolerance for stopping optimization is through "factr" argument. My function, is by construction, minimal when equal to 1. I wonder if there is any way to pass this info to "optim". If not, how "factr" argument works (I am quite confused about the