<?php

namespace MathPHP\NumericalAnalysis\RootFinding;

use MathPHP\Exception;

/**
 * Fixed Point Iteration
 *
 * In numerical analysis, the fixed point method is a method for finding
 * successively better approximations to the roots (or zeroes) of a continuous,
 * real-valued function f(x). For fixed point iteration, we require that we can
 * rewrite f(x) = 0 as g(x) = x for some continuous, real-valued function g(x).
 * We then determine some interval [a, b] to which we will iterate over. To
 * guarantee a root is in [a, b], we should chose [a, b] such that g(x) is
 * continuous and g(x) is in [a, b], for all x in [a, b]. To guarantee our
 * iteration will converge to a single root, we should choose [a, b] such that
 * for some 0 < k < 1, the magnitude of the derivative |g'(x)| < k on all x
 * in [a, b].
 *
 * https://en.wikipedia.org/wiki/Fixed-point_iteration
 */
class FixedPointIteration
{
    /**
     * Use Fixed Point Iteration to find the x which produces f(x) = 0 by
     * rewriting f(x) = 0 as g(x) = x, where g(x) is our input function.
     *
     * @param callable $function g(x) callback function, obtained by rewriting
     *                           f(x) = 0 as g(x) = x
     * @param number   $a        The start of the interval which contains a root
     * @param number   $b        The end of the interval which contains a root
     * @param number   $p        The initial guess of our root, in [$a, $b]
     * @param number   $tol      Tolerance; How close to the actual solution we would like.

     * @return number
     *
     * @throws Exception\OutOfBoundsException
     * @throws Exception\BadDataException
     */
    public static function solve(callable $function, $a, $b, $p, $tol)
    {
        self::validate($a, $b, $p, $tol);

        do {
            $g⟮p⟯ = $function($p);
            $dif = \abs($g⟮p⟯ - $p);
            $p   = $g⟮p⟯;
        } while ($dif > $tol);

        return $p;
    }

    /**
     * Verify the input arguments are valid for correct use of fixed point
     * iteration. If the tolerance is less than zero, an Exception will be thrown.
     * If $a = $b, then clearly we cannot run our loop as [$a, $b] will not be
     * an interval, so we throw an Exception. If $a > $b, we simply reverse them
     * as if the user input $b = $a and $a = $b so the new $a < $b.
     *
     * @param number   $a        The start of the interval which contains a root
     * @param number   $b        The end of the interval which contains a root
     * @param number   $p        The initial guess of our root
     * @param number   $tol      Tolerance; How close to the actual solution we would like.
     *
     * @throws Exception\OutOfBoundsException if $tol (the tolerance) is negative
     * @throws Exception\BadDataException if $a = $b
     * @throws Exception\OutOfBoundsException if either $p > $a or $p < $b return false
     */
    private static function validate($a, $b, $p, $tol)
    {
        Validation::tolerance($tol);
        Validation::interval($a, $b);

        if ($a > $b) {
            list($a, $b) = [$b, $a];
        }

        if ($p < $a || $p > $b) {
            throw new Exception\OutOfBoundsException("Initial guess $p must be in [$a, $b].");
        }
    }
}
