Struct LinProgResult 

pub struct LinProgResult<T: Float> {
    pub x: Vec<T>,
    pub fun: T,
    pub slack: Vec<T>,
    pub iterations: usize,
    pub converged: bool,
}

Result of a linear programming solve.

Examples

// minimize -x - 2y  s.t.  x + y <= 4, x >= 0, y >= 0
let result = linprog(&[-1.0_f64, -2.0], &[vec![1.0, 1.0]], &[4.0]).unwrap();
assert!(result.converged);

Fields

x: Vec<T>

Optimal decision variables.

fun: T

Optimal objective value.

slack: Vec<T>

Slack variables (b_ub - A_ub x).

iterations: usize

Number of simplex iterations.

converged: bool

Whether the solver found an optimal solution.

Trait Implementations

impl<T: Clone + Float> Clone for LinProgResult<T>

fn clone(&self) -> LinProgResult<T>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug + Float> Debug for LinProgResult<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.