Package: roptim 0.1.6
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_0.1.6.tar.gz
roptim_0.1.6.zip(r-4.5)roptim_0.1.6.zip(r-4.4)roptim_0.1.6.zip(r-4.3)
roptim_0.1.6.tgz(r-4.4-x86_64)roptim_0.1.6.tgz(r-4.4-arm64)roptim_0.1.6.tgz(r-4.3-x86_64)roptim_0.1.6.tgz(r-4.3-arm64)
roptim_0.1.6.tar.gz(r-4.5-noble)roptim_0.1.6.tar.gz(r-4.4-noble)
roptim_0.1.6.tgz(r-4.4-emscripten)roptim_0.1.6.tgz(r-4.3-emscripten)
roptim.pdf |roptim.html✨
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-annealing
Last updated 2 years agofrom:8515d11946. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
R-4.4-win-x86_64 | NOTE | Nov 07 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 07 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 07 2024 |
R-4.3-win-x86_64 | NOTE | Nov 07 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 07 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 07 2024 |
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 |