rnc_solver {mwcsr} | R Documentation |
Construct relax-and-cut SGMWCS solver
Description
The solver is based on the same approach as rmwcs solver. Modifications to the original scheme are introduced to tackle problems arising with introduction of edge weights and signals. It is recommended to use rmwcs solver to solve MWCS problems, while due to differences in primal heuristic it may be a good pratice to run both solvers on the same problem.
Usage
rnc_solver(
max_iterations = 1000L,
beta_iterations = 50L,
heur_iterations = 10L,
sep_iterations = 10L,
verbose = FALSE
)
Arguments
max_iterations |
Maximum number of iterations |
beta_iterations |
Number of nonimproving iterations until beta is halved |
heur_iterations |
Frequency of calling heuristic method (in iterations) |
sep_iterations |
Frequency of separating cuts (in iterations) |
verbose |
Should the solving progress and stats be printed? |
Value
An object of class mwcs_solver
See Also
[Package mwcsr version 0.1.8 Index]