quadratic_with_plots/
quadratic_with_plots.rs1use nalgebra::{DMatrix, DVector};
2use optimization_solvers::{
3 BackTracking, FuncEvalMultivariate, GradientDescent, LineSearchSolver, Plotter3d, Tracer,
4};
5
6fn main() {
7 std::env::set_var("RUST_LOG", "debug");
9 let _ = Tracer::default().with_normal_stdout_layer().build();
10 let matrix = DMatrix::from_vec(2, 2, vec![100., 0., 0., 100.]);
12 let mut f_and_g = |x: &DVector<f64>| -> FuncEvalMultivariate {
13 let f = x.dot(&(&matrix * x));
14 let g = 2. * &matrix * x;
15 FuncEvalMultivariate::new(f, g)
16 };
17 let armijo_factr = 1e-4;
19 let beta = 0.5; let mut ls = BackTracking::new(armijo_factr, beta);
21 let tol = 1e-6;
23 let x0 = DVector::from_vec(vec![10., 10.]);
24 let mut solver = GradientDescent::new(tol, x0);
25 let mut iterates = vec![];
27 let mut solver_callback = |s: &GradientDescent| {
28 iterates.push(s.x().clone());
29 };
30 let max_iter_solver = 100;
32 let max_iter_line_search = 10;
33
34 solver
35 .minimize(
36 &mut ls,
37 f_and_g,
38 max_iter_solver,
39 max_iter_line_search,
40 Some(&mut solver_callback),
41 )
42 .unwrap();
43 let x = solver.x();
45 let eval = f_and_g(x);
46 println!("x: {:?}", x);
47 println!("f(x): {}", eval.f());
48 println!("g(x): {:?}", eval.g());
49
50 let n = 50;
52 let start = -5.0;
53 let end = 5.0;
54 let plotter = Plotter3d::new(start, end, start, end, n)
55 .append_plot(&mut f_and_g, "Objective function", 0.5)
56 .append_scatter_points(&mut f_and_g, &iterates, "Iterates")
57 .set_layout_size(1600, 1000);
58 plotter.build("quadratic.html");
59}