Function solve_integer_binary_lp_problem 

pub fn solve_integer_binary_lp_problem(
    lp: &LinearModel,
) -> Result<LpSolution<IntOrBoolValue>, SolverError>

Solves a mixed integer-binary linear programming problem.

Takes a linear model containing boolean and integer variables and returns an optimal solution or an error if the problem cannot be solved. All coefficients and constant numbers will be converted into an i32

Arguments

• lp - The linear programming model to solve

Returns

• Ok(LpSolution<VarValue>) - The optimal solution if found
• Err(SolverError) - Various error conditions that prevented finding a solution

Example

use rooc::{VariableType, Comparison, OptimizationType, solve_integer_binary_lp_problem, LinearModel};

let mut model = LinearModel::new();

// Add a boolean variable x1 and an integer variable x2
model.add_variable("x1", VariableType::Boolean);
model.add_variable("x2", VariableType::IntegerRange(0, 10));

// Add constraint: x1 + x2 <= 5
model.add_constraint(vec![1.0, 1.0], Comparison::LessOrEqual, 5.0);

// Set objective: maximize x1 + 2*x2
model.set_objective(vec![1.0, 2.0], OptimizationType::Max);

let solution = solve_integer_binary_lp_problem(&model).unwrap();