BisectionMethod [二分法]
# 介绍
二分法(英语:Bisection method),是一种方程式根的近似值求法。
# 原理
若要求已知函数 的根 的解 , 则:
- 先找出一个区间 , 使得 与 异号。根据介值定理,这个区间内一定包含著方程式的根。
- 求该区间的中点 , 并找出 的值。
- 若 与 正负号相同则取 为新的区间,否则取 .
- 重复第 2 和第 3 步至理想精确度为止。
# 演示
# 实现
# JavaScript
/**
*
* @brief Find real roots of a function in a specified interval [a, b], where f(a)*f(b) < 0
*
* @details Given a function f(x) and an interval [a, b], where f(a) * f(b) < 0, find an approximation of the root
* by calculating the middle m = (a + b) / 2, checking f(m) * f(a) and f(m) * f(b) and then by choosing the
* negative product that means Bolzano's theorem is applied,, define the new interval with these points. Repeat until
* we get the precision we want [Wikipedia](https://en.wikipedia.org/wiki/Bisection_method)
*
*/
const findRoot = (a, b, func, numberOfIterations) => {
// Check if a given real value belongs to the function's domain
const belongsToDomain = (x, f) => {
const res = f(x)
return !Number.isNaN(res)
}
if (!belongsToDomain(a, func) || !belongsToDomain(b, func)) throw Error("Given interval is not a valid subset of function's domain")
// Bolzano theorem
const hasRoot = (a, b, func) => {
return func(a) * func(b) < 0
}
if (hasRoot(a, b, func) === false) { throw Error('Product f(a)*f(b) has to be negative so that Bolzano theorem is applied') }
// Declare m
const m = (a + b) / 2
// Recursion terminal condition
if (numberOfIterations === 0) { return m }
// Find the products of f(m) and f(a), f(b)
const fm = func(m)
const prod1 = fm * func(a)
const prod2 = fm * func(b)
// Depending on the sign of the products above, decide which position will m fill (a's or b's)
if (prod1 > 0 && prod2 < 0) return findRoot(m, b, func, --numberOfIterations)
else if (prod1 < 0 && prod2 > 0) return findRoot(a, m, func, --numberOfIterations)
else throw Error('Unexpected behavior')
}
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# 参考
编辑 (opens new window)
上次更新: 2022/10/19, 17:35:33