plham.util

Class Newton

plham.util.Newton

public class Newton

Newton's root-finding algorithm, which returns x s.t. f(x) = 0. The implementation actually is Secant method, without derivative. TODO: Newton-Raphson's gradient algorithm. Reference: https://en.wikipedia.org/wiki/Secant_method Reference: https://github.com/scipy/scipy/blob/v0.17.0/scipy/optimize/zeros.py#L66-L184

Constructor Summary

Constructors

Constructor and Description
Newton()

Method Summary

Modifier and Type	Method and Description
static void	main(Rail<String> id$4)
static Double	optimize(Fun_0_1 <Double,Double> f, Double x0) Declaration: optimize(f:(Double)=>Double, x0:Double):Double.
static Double	optimize(Fun_0_1 <Double,Double> f, Double x0, Double tol, Long maxiter) Declaration: optimize(f:(Double)=>Double, x0:Double, tol:Double, maxiter:Long):Double.

Constructor Detail

Newton

public Newton()

Method Detail

optimize

public static Double optimize(Fun_0_1 <Double,Double> f,
                                       Double x0)

Declaration: optimize(f:(Double)=>Double, x0:Double):Double.

optimize

public static Double optimize(Fun_0_1 <Double,Double> f,
                                       Double x0,
                                       Double tol,
                                       Long maxiter)

Declaration: optimize(f:(Double)=>Double, x0:Double, tol:Double, maxiter:Long):Double.

main

public static void main(Rail<String> id$4)