First version of the optimizer
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use crate::math::EPSILON;
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use crate::optimization::FunctionOrder;
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pub trait LineSearchMethod {
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fn search<'a>(&self, f: &(dyn Fn(f64) -> f64), df: &(dyn Fn(f64) -> f64), alpha: f64, f0: f64, df0: f64) -> LineSearchResult;
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}
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#[derive(Debug, Clone)]
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pub struct LineSearchResult {
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pub alpha: f64,
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pub f_x: f64
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}
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pub struct Backtracking {
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pub c1: f64,
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pub max_iterations: usize,
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pub phi: f64,
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pub plo: f64,
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pub order: FunctionOrder
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}
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impl Default for Backtracking {
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fn default() -> Self {
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Backtracking {
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c1: 1e-4,
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max_iterations: 1000,
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phi: 0.5,
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plo: 0.1,
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order: FunctionOrder::SECOND
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}
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}
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}
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impl LineSearchMethod for Backtracking {
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fn search<'a>(&self, f: &(dyn Fn(f64) -> f64), _: &(dyn Fn(f64) -> f64), alpha: f64, f0: f64, df0: f64) -> LineSearchResult {
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let (mut a1, mut a2) = (alpha, alpha);
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let (mut fx0, mut fx1) = (f0, f(a1));
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let mut iteration = 0;
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while fx1 > f0 + self.c1 * a2 * df0 {
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if iteration > self.max_iterations {
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panic!("Linesearch failed to converge, reached maximum iterations.");
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}
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let a_tmp;
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match self.order {
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FunctionOrder::FIRST | FunctionOrder::SECOND => {
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a_tmp = - (df0 * a2.powf(2.)) / (2. * (fx1 - f0 - df0*a2))
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},
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FunctionOrder::THIRD => {
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let div = 1. / (a1.powf(2.) * a2.powf(2.) * (a2 - a1));
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let a = (a1.powf(2.) * (fx1 - f0 - df0*a2) - a2.powf(2.)*(fx0 - f0 - df0*a1))*div;
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let b = (-a1.powf(3.) * (fx1 - f0 - df0*a2) + a2.powf(3.)*(fx0 - f0 - df0*a1))*div;
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if (a - 0.).powf(2.).sqrt() <= EPSILON {
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a_tmp = df0 / (2. * b);
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} else {
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let d = f64::max(b.powf(2.) - 3. * a * df0, 0.);
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a_tmp = (-b + d.sqrt()) / (3.*a); //root of quadratic equation
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}
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}
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}
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a1 = a2;
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a2 = f64::max(f64::min(a_tmp, a2*self.phi), a2*self.plo);
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fx0 = fx1;
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fx1 = f(a2);
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iteration += 1;
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}
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LineSearchResult {
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alpha: a2,
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f_x: fx1
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}
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}
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}
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