initProb-methods: Initialize Problem Object
In sybil: Efficient Constrained Based Modelling

Description Usage Arguments Methods Author(s) See Also

Initialize Problem Object.

## S4 method for signature 'optObj_clpAPI'
initProb(lp, to = NULL, ...)

## S4 method for signature 'optObj_cplexAPI'
initProb(lp, to = FALSE, ...)

## S4 method for signature 'optObj_glpkAPI'
initProb(lp, to = FALSE, ...)

## S4 method for signature 'optObj_lpSolveAPI'
initProb(lp, to = NULL, nrows, ncols)

`lp`	An object extending class `optObj`.
`to`	A single boolean, numeric or character value, controling the amount of terminal output of the solver software. Default: `FALSE` or `NULL`.
`nrows`	Number of rows (constraints) of the new problem object.
`ncols`	Number of columns (variables) of the new problem object.
`...`	Further arguments passed to the initialization function of the solver package.

signature(lp = "optObj_clpAPI"): method to use with package optObj_clpAPI, argument to can be a single numeric value: 0 – “none”, 1 – “just final”, 2 – “just factorizations”, 3 – “as 2 plus a bit more”, code4 – “verbose”. See COIN-OR Clp documentation for more details.
signature(lp = "optObj_cplexAPI"): method to use with package optObj_cplexAPI, argument to can be TRUE or FALSE. Setting CPLEX parameter CPX_PARAM_SCRIND to CPX_ON or CPX_OFF has the same effect.
signature(lp = "optObj_glpkAPI"): method to use with package optObj_glpkAPI, argument to can be TRUE or FALSE, setting GLPK function termOutGLPK to GLP_ON or GLP_OFF. The amount of output is controlled by the GLPK parameter MSG_LEV.
signature(lp = "optObj_lpSolveAPI"): method to use with package optObj_lpSolveAPI, argument to can be a single character value, see lpSolveAPI documentation for more details (lp.control.options, section verbose).