Package: roptim 0.1.7
roptim: General Purpose Optimization in R using C++
Perform general purpose optimization in R using C++. A unified wrapper interface is provided to call C functions of the five optimization algorithms ('Nelder-Mead', 'BFGS', 'CG', 'L-BFGS-B' and 'SANN') underlying optim().
Authors:
roptim_0.1.7.tar.gz
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roptim_0.1.7.tgz(r-4.6-x86_64)roptim_0.1.7.tgz(r-4.6-arm64)roptim_0.1.7.tgz(r-4.5-x86_64)roptim_0.1.7.tgz(r-4.5-arm64)
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roptim_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
roptim/json (API)
| # Install 'roptim' in R: |
| install.packages('roptim', repos = c('https://ypan1988.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ypan1988/roptim/issues
armadillobfgsconjugate-gradientl-bfgs-bnelder-meadoptimrcppsimulated-annealingopenblascpp
Last updated from:f01c360c4f. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 143 | ||
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 164 | ||
| linux-release-arm64 | OK | 172 | ||
| linux-release-x86_64 | OK | 128 | ||
| macos-release-arm64 | OK | 141 | ||
| macos-release-x86_64 | OK | 352 | ||
| macos-oldrel-arm64 | OK | 134 | ||
| macos-oldrel-x86_64 | OK | 373 | ||
| windows-devel | OK | 105 | ||
| windows-release | OK | 123 | ||
| windows-oldrel | OK | 102 | ||
| wasm-release | OK | 132 |
Exports:example1_rosen_bfgsexample1_rosen_grad_hess_checkexample1_rosen_nograd_bfgsexample1_rosen_other_methodsexample2_tsp_sannexample3_flb_25_dims_box_conexample4_wild_fun
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example 1: Minimize Rosenbrock function using BFGS | example1_rosen_bfgs |
| Example 1: Gradient/Hessian checks for the implemented C++ class of Rosenbrock function | example1_rosen_grad_hess_check |
| Example 1: Minimize Rosenbrock function (with numerical gradient) using BFGS | example1_rosen_nograd_bfgs |
| Example 1: Minimize Rosenbrock function using other methods | example1_rosen_other_methods |
| Example 2: Solve Travelling Salesman Problem (TSP) using SANN | example2_tsp_sann |
| Example 3: Minimize a function using L-BFGS-B with 25-dimensional box constrained | example3_flb_25_dims_box_con |
| Example 4: Minimize a "wild" function using SANN and BFGS | example4_wild_fun |
| roptim | roptim |
