search for: neldermead

Dear R users, I am pleased to announce the release of three new R packages: optimbase, optimsimplex, and neldermead. - optimbase provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constr...

Dear R users, I am pleased to announce the release of three new R packages: optimbase, optimsimplex, and neldermead. - optimbase provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constr...

...his noisy and smoothed noise functions we get for instance the following results: (Starting point is always `rep(0.1, 5)`, maximal number of iterations 5000, relative tolerance 1e-12, and the optimization is successful if the function value at the minimum is below 1e-06.) k nmk anms neldermead ucminf optim_BFGS --------------------------------------------------- 1 0.21 0.32 0.13 0.00 0.00 3 0.52 0.63 0.50 0.00 0.00 10 0.81 0.91 0.87 0.00 0.00 Solvers: nmk = dfoptim::nmk, anms = pracma::a...

...alphamax && 0 < betha < bethamax && 1 < sample_n <= lot_Size && 0 <= c < lot_size && p1 < p2 < p2max ; fcost = sample_n/lot_Size; result = NMinimize[{fcost, restriction}, {sample_n, c, alpha, betha, p2max}, Method -> "NelderMead", AccuracyGoal -> 10]; /* Calling the function findOpt */ findOpt[p1=0.005, lot_size=1000, alphamax=0.05, bethamax =0.05, p2max = 0.04] /* and I got the return of values of; minimal "n", "c", "alpha", "betha" and the "p2" or (LTPD) were co...

...d of each analysis, scaRabee automatically generates diagnostic plots, report files with run estimate statistics, and a log file with the history of the optimization process (for estimation runs). Optimization in scaRabee are performed using the simplex method of Nelder and Mead, implemented in the neldermead package. scaRabee is available on CRAN or at http://code.google.com/p/pmlab/ in version 1.0. Any question, comment or feedback on this package is to be sent at: sb.pmlab at gmail.com. Sebastien Bihorel [[alternative HTML version deleted]] _______________________________________________ R-pack...

...x && 1 < sample_n <= lot_Size && 0 <= c < amostra && p1 < p2 < p2max ; fcost = sample_n/lot_Size; result = NMinimize[{fcost, restriction}, {sample_n, c, alpha, betha, p2max}, Method -> "NelderMead", AccuracyGoal -> 10]; example: findOpt[0.005, 1000, 0.05, 0.05, 0.04] ==> and I got the return of values of; "n", "c", alpha and betha, computed. {0.514573, {alpha$74 -> 0.0218683, sample_n$74 -> 155.231, betha$74 -> 0.05, c$74 -> 2, p2$74...

...d of each analysis, scaRabee automatically generates diagnostic plots, report files with run estimate statistics, and a log file with the history of the optimization process (for estimation runs). Optimization in scaRabee are performed using the simplex method of Nelder and Mead, implemented in the neldermead package. scaRabee is available on CRAN or at http://code.google.com/p/pmlab/ in version 1.0. Any question, comment or feedback on this package is to be sent at: sb.pmlab at gmail.com. Sebastien Bihorel [[alternative HTML version deleted]] _______________________________________________ R-pack...

Can optimisation (simplex etc) be done through R?

...alphamax && 0 < betha < bethamax && 1 < sample_n <= lot_Size && 0 <= c < lot_size && p1 < p2 < p2max ; fcost = sample_n/lot_Size; result = NMinimize[{fcost, restriction}, {sample_n, c, alpha, betha, p2max}, Method -> "NelderMead", AccuracyGoal -> 10]; /* Calling the function findOpt */ findOpt[p1=0.005, lot_size=1000, alphamax=0.05, bethamax =0.05, p2max = 0.04] /* and I got the return of values of; minimal "n", "c", "alpha", "betha" and the "p2" or (LTPD) were co...

...rowsers. The NCBI2R package was designed to allow those performing genome analysis to produce output that could easily be understood by a person not familiar with R. Please see http://drop.io/NCBI2R_package for more information. The internet is required for almost all of these functions. * neldermead (1.0-3) Sebastien Bihorel http://crantastic.org/packages/neldermead Provides several direct search optimization algorithms based on the simplex method. The provided algorithms are direct search algorithms, i.e. algorithms which do not use the derivative of the cost function. They are b...

...lized data in format 3 cannot be read by versions of R prior to version 3.5.0. * The "Date" and "date-time" classes "POSIXlt" and "POSIXct" now have a working `length<-` method, as wished in PR#17387. * optim(*, control = list(warn.1d.NelderMead = FALSE)) allows to turn off the warning when applying the default "Nelder-Mead" method to 1-dimensional problems. * matplot(.., panel.first = .) etc now work, as log becomes explicit argument and ... is passed to plot() unevaluated, as suggested by Sebastian...

...lized data in format 3 cannot be read by versions of R prior to version 3.5.0. * The "Date" and "date-time" classes "POSIXlt" and "POSIXct" now have a working `length<-` method, as wished in PR#17387. * optim(*, control = list(warn.1d.NelderMead = FALSE)) allows to turn off the warning when applying the default "Nelder-Mead" method to 1-dimensional problems. * matplot(.., panel.first = .) etc now work, as log becomes explicit argument and ... is passed to plot() unevaluated, as suggested by Sebastian...