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Solving an equation f(x) = g(x) is the same as finding the roots of the function h(x) = f(x) – g(x). Thus root-finding algorithms can be used to solve any equation of continuous functions. However, most root-finding algorithms do not guarantee that they will find all roots of a function, and if such an algorithm does not find any root, that ...
A free implementation is available under the name of MPSolve. This is a reference implementation, which can find routinely the roots of polynomials of degree larger than 1,000, with more than 1,000 significant decimal digits. The methods for computing all roots may be used for computing real roots.
If x is a simple root of the polynomial (), then Laguerre's method converges cubically whenever the initial guess, (), is close enough to the root . On the other hand, when x 1 {\displaystyle x_{1}} is a multiple root convergence is merely linear, with the penalty of calculating values for the polynomial and its first and second derivatives at ...
Halley's method is a numerical algorithm for solving the nonlinear equation f(x) = 0.In this case, the function f has to be a function of one real variable. The method consists of a sequence of iterations:
Moreover, the hypothesis on F′ ensures that X k + 1 is at most half the size of X k when m is the midpoint of Y, so this sequence converges towards [x*, x*], where x* is the root of f in X. If F ′ ( X ) strictly contains 0, the use of extended interval division produces a union of two intervals for N ( X ) ; multiple roots are therefore ...
If the coefficient of x 19 is decreased from −210 by 2 −23 to −210.0000001192, then the polynomial value w(20) decreases from 0 to −2 −23 20 19 = −6.25×10 17, and the root at x = 20 grows to x ≈ 20.8. The roots at x = 18 and x = 19 collide into a double root at x ≈ 18.62 which turns into a pair of complex conjugate roots at x ...
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Muller's method fits a parabola, i.e. a second-order polynomial, to the last three obtained points f(x k-1), f(x k-2) and f(x k-3) in each iteration. One can generalize this and fit a polynomial p k,m (x) of degree m to the last m+1 points in the k th iteration. Our parabola y k is written as p k,2 in this notation.