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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: &l...

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...

...e following excerpt from Bruce McCullough's post would be a good candidate for the R fortunes package -- except that it's about Excel, not R! So I nominate it... but leave it to others to say whether it's really "qualified" to be nominated. ---- "The idea that the Excel solver "has a good reputation for being fast and accurate" does not withstand an examination of the Excel solver's ability to solve the StRD nls test problems. ... Excel solver does have the virtue that it will always produce an answer, albeit one with zero accurate digits." --- I als...

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...

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...

...the > dependence distance vectors, you're almost done. You can look at how > this is set up in gcc trunk tree-data-ref.c, and search for omega. > > I would recommend the omega test: get the c++ code for omega lib from > http://www.cs.umd.edu/projects/omega/ Regardless of which solver you use, you should keep a clean interface between your constraint representation and the solver. I like Omega a lot and it is a fine choice for the first solver. Although it is very powerful, even it cannot handle symbolic loop strides. Perhaps more importantly for common uses, for many...

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...

The idea that the Excel solver "has a good reputation for being fast and accurate" does not withstand an examination of the Excel solver's ability to solve the StRD nls test problems. Solver's ability is abysmal. 13 of 27 "answers" have zero accurate digits, and three more have fewer than two a...

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 Univer...

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 solve...

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). than...

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 sta...

...mil \ -dalign -xO4 -c floyd.c -o floyd.o cc -I/users/local/lib/R/include -I/usr/local/include -KPIC -xlibmil \ -dalign -xO4 -c Rsvm.c -o Rsvm.o CC -I/users/local/lib/R/include -I/usr/local/include -KPIC -xlibmil \ -dalign -xO4 -c svm.cpp -o svm.o "svm.cpp", line 444: Warning: l hides Solver::l. "svm.cpp", line 444: Warning: Q hides Solver::Q. "svm.cpp", line 444: Warning: Cp hides Solver::Cp. "svm.cpp", line 444: Warning: Cn hides Solver::Cn. "svm.cpp", line 444: Warning: eps hides Solver::eps. "svm.cpp", line 507: Warning: String...

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...

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...

...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 with NA). solver instance result A prob1 40 B prob1 NA C prob1 39 D prob1 35 A prob2 100 B prob2 50 C prob2 NA D prob2 NA A prob3 75 B prob3 80 C prob3 60 D prob3 70 A prob4 80 B prob4 NA C prob4 85 D prob4 75 I've managed to read in the data as follows: data <- table.read("./test.txt", header = T...

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

...spreadsheet includes the annual survey data, the Lefkovitch matrix, and projections of the model, i.e., realizations to be compared to the data. It computes the negative log-likelihood of each realization assuming log-normally distributed noise and the sum of those likelihood components. I use the Solver add-in to minimize the negative log-likelihood over the parameters in the Lefkovitch matrix. > > I have made a tentative stab at using nlminb() [minor success] and ms() [no success] to fit the model in S-Plus, but my proficiency is such that I still have greater flexibility fitting the model...

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.