simple_qp

simple_qp allows formulating Quadratic Programming (QP) problems in a symbolic way.
Define your QP without unreadable matrix initializations.
Available Solver Backends
At the moment, these are the available solver backends:
Example Code
use simple_qp::constraint;
use simple_qp::problem::Problem;
use simple_qp::solver::clarabel_solver::ClarabelSolver;
fn main() {
let mut problem = Problem::default();
let x = problem.add_var(Some(0.0), None);
let y = problem.add_var(Some(0.0), None);
problem.objective = (x - 42).square() + (y - 73).square() + (x - y).square();
problem.constraints.push(constraint!(50 <= 1.5 * (x / 3 + 2 * y) <= 100));
problem.constraints.push(constraint!(x - y == 75 + 2 * y));
let solver = ClarabelSolver::default();
let result = problem.solve(&solver).expect("Solver error");
let x_solution = result.eval(x);
let y_solution = result.eval(y);
println!("x = {}, y = {}", x_solution, y_solution);
}
Acknowledgment
Thanks FlorianNAdam for the constraint! macro.