search for: solvers

Hi all, Currently studying the impact of SMT solvers on Clang SA. Can anyone help in telling more about the SMT solvers use in clang SA ? ( Have already tested Z3 SMT solver implemented in GSoC 2018 , also looking for other SMT solvers if possible ) Thanks, Siddharth -------------- next part -------------- An HTML attachment was scrubbed... URL: &lt...

Just thought I'd ask. For those who've never seen TK!Solver, I strongly recommend taking a look. So far as I can tell, it's the only product of its type available, retail or open source, for any platform. What makes TK!Solver so cool is that it adaptively back-solves pretty much any unknown from any set of equations you give it. (or vector full of unknowns, producing a vector of

...n MS Excel may be alright, >> in this special case they are not. The Excel Solver -- which is made by an >> external company, not MS -- has a good reputation for being fast and accurate. >> And it indeed solves least-squares and nonlinear problems better than some of >> the solvers available in R. >> There is a professional version of this solver, not available from Microsoft, >> that could be called excellent. We, and this includes me, should not be too >> arrogant towards the outside, non-R world, the 'barbarians' as the ancient >> Greeks cal...

Hi, I can't seem to get any Excel Add-Ins to work. In particular, I need the 'Solver' for an assignment ... I've tried with two office versions (2007/2003), which I've managed to install successfully (you have to enable the Solver add-in during installation), but it's the same every time. When I try to start it up I get a message saying can't access SOLVER.XLA, and

We are currently implementing the backends for other solvers (you can follow the progress here: https://github.com/mikhailramalho/clang). So far we got Boolector, MathSAT and Yices ready. CVC4 should be done soon. When used to refute bugs, they all give roughly the same results: a ~5% speedup if there are refuted bugs or a ~5% slowdown if no bug is refuted....

...Although it is very powerful, even it cannot handle symbolic loop strides. Perhaps more importantly for common uses, for many trivial cases (A[x] and A[x+1]), setting up the Omega data structures to invoke the solver can be too heavyweight. It could be worthwhile to add one or more simple solvers (see the Allen and Kennedy textbook for examples) before falling back on Omega. > > > Sebastian > _______________________________________________ > LLVM Developers mailing list > LLVMdev at cs.uiuc.edu http://llvm.cs.uiuc.edu > http://lists.cs.uiuc.edu/mailman/list...

Hello -- The question I have is about the gmm() function from the 'gmm' package (v. 1.4-5). The manual accompanying the package says that the gmm() function is programmed to use either of four numerical solvers -- optim, optimize, constrOptim, or nlminb -- for the minimization of the GMM objective function. I wonder whether there is a way to pass controls to a solver used while calling the gmm() function? In particular, the problem that I have been having is that the gmm() fails to converge withing the...

...neral comments on MS Excel may be alright, > in this special case they are not. The Excel Solver -- which is made by an > external company, not MS -- has a good reputation for being fast and accurate. > And it indeed solves least-squares and nonlinear problems better than some of > the solvers available in R. > There is a professional version of this solver, not available from Microsoft, > that could be called excellent. We, and this includes me, should not be too > arrogant towards the outside, non-R world, the 'barbarians' as the ancient > Greeks called it. > &gt...

Esteemed colleagues I wonder if there is a package in R that performs the functions of the Excel SOLVER. Thanks in advance for the reply. Best regards, ------------------------- Estimados colegas Me pregunto si hay un paquete en R que funcione como el SOLVER de Excel. De antemano gracias por la respuesta. Saludos, -- Ricardo Bandin Llanos rbandin@udec.cl [c] Magíster Cs. m. Pesquerías

Dear guys, I've put the puzzle solver running on LLVM 2.1. Well, at least partially, for it is failing three of SPEC2000 benchmarks. I will try to debug it now. The results are not as good as before. I mean, the puzzle solver is still the same, but the default allocator is producing very good code now. Even though, the puzzle solver produces faster code for half the benchmarks. It

Just wondering if there's an R package which does tricks similar to what TK!Solver does. TK!Solver, for those not lucky enough to have found it, basically allows one to define a bunch of equations, assign values to an arbitrary subset of the variables, from which it calculates (either directly when possible or back-solving when not) the values of the other variable(s). thanks Carl

Hi, On Nov 29, 2007 6:19 PM, Chris Lattner <sabre at nondot.org> wrote: > On Thu, 29 Nov 2007, Wojciech Matyjewicz wrote: > > As for the dependence analysis, I need this piece for my project, and I > > am preparing myself to write it. > > Great! > > > I am currently studying some papers, but haven't yet decided on the > > method. Maybe some of you

This is applicable to either using optim or the differential equation solver or any similar solver Suppose I want to use the differential equation solver and this is my code d<-y[2] vdpol<-function(t,y) { list(c(1, d, 3, 4 ) } stiff<-ode(y=rep(0,4),times=c(0,1),func=dvdpol,parms=1) The thing is I want d to be composed of one of state variables in the

In R 1.9.0 running under Solaris 2.9 on a SunBlade 100, with "Sun WorkShop 6 update 2 C++ 5.3 2001/05/15" as the C++ compiler, I just did > install.packages("e1071") The output includes these lines, which I have wrapped to fit nicely in mail: ** libs cc -I/users/local/lib/R/include -I/usr/local/include -KPIC -xlibmil \ -dalign -xO4 -c cmeans.c -o cmeans.o cc

Hi all, i'm trying to find a solver possibility analogous to the Excel Solver in R. Since i just started with R, I have only little knowledge. Can someone help me by solving the problem? I have the following 'starting position': z = rnorm(1,0,1) y <- function(x,z){2*x - 1 + z} I am looking for a certain "x" in such a way that the result of the function 'y'

Dear all, I want to work with R in an optimization problem and I was wondering if there are any available solvers. I found RCplex package but downloading it, I get problems. Why? Is it not free? are there any other solvers available? many thanks! -- View this message in context: http://r.789695.n4.nabble.com/Cplex-solver-and-optimization-in-R-tp3703385p3703385.html Sent from the R help mailing list archive...

Hi, I'm new to R and I've run into a problem that I'm not really sure how to express properly in the language. I've got a data table that I've read from a file containing some simple information about the performance of 4 algorithms. The columns are the name of the algorithm, the problem instance and the resulting score on that problem (if it wasn't solved I mark that

hi.. i used R a few days.. who can call me? same function solver in excel. _________________________________________________________________ [[elided Hotmail spam]] [[alternative HTML version deleted]]

Hi all, Earlier today I posted this question on s-news, so apologies to some for the duplication. > Please put aside your snobbery about Microsoft products for a moment. > > I am fitting population models to annual survey data for trout. For those of you familiar with ecological models, I am working in the Lefkovitch matrix framework; for those unfamiliar with that shorthand, the

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.