control: Control Variables
In ROI.plugin.lpsolve: 'lp_solve' Plugin for the 'R' Optimization Infrastructure

Description Arguments

The control variables are all optional, but can in some cases be used to improve the solving time and the solutions.

`basis`	an optional named list used to set the initial basis of the `LP`, e.g., `R> control <- list(basis=list(basis = c(1, 2, 3),` `+ nonbasic = TRUE, default = TRUE))`. The elements of `basis` are passed to the lpSolveAPI function set.basis as arguments. `basis` a numeric vector giving the indices of the basis. `nonbasic` an optional logical, if `TRUE` the nonbasic variables included in the basis as well. `default` an optional logical, if `TRUE` the default basis is used and the arguments `basis` and `nonbasic` are ignored.
`branch.mode`	an optional list used to set the branch and bound mode, e.g., `R> control <- list(branch.mode=list(columns=c(1, 2, 3),` `+ modes=c("ceiling", "auto", "floor"))` The elements of `branch.mode` are passed to lpSolveAPI function set.branch.mode as arguments. `columns` a vector of integer giving the column indices for which the mode is set. `modes` a character vector giving the modes of the columns specified in `columns`.
`branch.weights`	an optional numeric vector giving the weights for the decision variables. The length of the `branch.weights` must be equal to length of the objective function.
`verbose`	a character string (for more information see lp.control).
`anti.degen`	a character vector (for more information see `lp.control`).
`basis.crash`	a character string (for more information see `lp.control`).
`bb.depthlimit`	a integer giving the maximum branch-and-bound depth (for more information see `lp.control`).
`bb.floorfirst`	a character string (for more information see `lp.control`).
`bb.rule`	a character vector giving the branch-and-bound rule (for more information see `lp.control`).
`break.at.first`	a logical controlling whether the branch-and-bound algorithm should be stopped at the first solution or the branch-and-bound algorithm continuous until an optimal solution is found (for more information see `lp.control`).
`break.at.value`	a numeric, if given the branch-and-bound algorithm stops when the objective function becomes smaller than the specified value. (for more information see `lp.control`).
`epslevel`	a character string giving the type of thresholds (for more information see `lp.control`).
`epsb`	a numeric giving the tolerance for the right-hand-side (for more information see `lp.control`).
`epsd`	a numeric (for more information see `lp.control`).
`epsel`	a numeric (for more information see `lp.control`).
`epsint`	a numeric (for more information see `lp.control`).
`epsperturb`	a numeric (for more information see `lp.control`).
`epspivot`	a numeric (for more information see `lp.control`).
`improve`	a character vector (for more information see `lp.control`).
`infinite`	a numeric (for more information see `lp.control`).
`maxpivot`	a integer (for more information see `lp.control`).
`mip.gap`	a numeric vector (for more information see `lp.control`).
`negrange`	a numeric (for more information see `lp.control`).
`obj.in.bas`	a logical (for more information see `lp.control`).
`pivoting`	a character vector (for more information see `lp.control`).
`presolve`	a character vector (for more information see `lp.control`).
`scalelimit`	a numeric (for more information see `lp.control`).
`scaling`	a character vector (for more information see `lp.control`).
`simplextype`	a character vector which an take one of the following values `c("primal")`, `c("dual")`, `c("primal", "dual")` or `c("dual", "primal")` (for more information see `lp.control`).
`timeout`	a integer giving the number of seconds till a timeout occurs (for more information see `lp.control`).