OptimizationProblem-methods: Optimization problem methods
In prioritizr/prioritizrutils: Utilities for prioritizr

Description Usage Arguments Details Value

These functions are used to access data from an OptimizationProblem-class object.

nrow(x)

ncol(x)

ncell(x)

modelsense(x)

vtype(x)

obj(x)

A(x)

rhs(x)

sense(x)

lb(x)

ub(x)

number_of_features(x)

number_of_planning_units(x)

col_ids(x)

row_ids(x)

`x`	`OptimizationProblem-class` object.

The functions return the following data:

nrow: integer number of rows (constraints).
ncol: integer number of columns (decision variables).
ncell: integer number of cells.
modelsense: character describing if the problem is to be maximized ("max") or minimized ("min").
vtype: character describing the type of each decision variable: binary ("B"), semi-continuous ("S"), or continuous ("C")
obj: numeric vector specifying the objective function.
A: dgCMatrix-class matrix object defining the problem matrix.
rhs: numeric vector with right-hand-side linear constraints
sense: character vector with the senses of the linear constraints ("<=", ">=", "=").
lb: numeric lower bound for each decision variable. Missing data values (NA) indicate no lower bound for a given variable.
ub: numeric upper bounds for each decision variable. Missing data values (NA) indicate no upper bound for a given variable.
number_of_planning_units: integer number of planning units in the problem.
number_of_features: integer number of features the problem.