Category:Root-finding algorithms

From Wikipedia, the free encyclopedia

A root-finding algorithm is a numerical method or algorithm for finding a value x such that f(x) = 0, for a given function f. Here, x is a single real number. Root-finding algorithms are studied in numerical analysis.

Pages in category "Root-finding algorithms"

The following 30 pages are in this category, out of 30 total. Updates to this list can occasionally be delayed for a few days.

*

  • Root-finding algorithm

A

  • Aberth method
  • Alpha max plus beta min algorithm

B

  • Bairstow's method
  • Bisection method
  • Brent's method
  • Broyden's method

D

  • Durand-Kerner method

F

  • False position method
  • Fixed point iteration

G

  • Graeffe's method

H

  • Halley's method
  • Householder's method

I

  • Integer square root
  • Inverse quadratic interpolation

J

  • Jenkins-Traub algorithm

L

  • Laguerre's method
  • Lehmer-Schur algorithm

M

  • Methods of computing square roots
  • Müller's method

N

  • Newton's method

N cont.

  • Nth root algorithm

R

  • Rational root theorem
  • Ridders' method
  • Ruffini's rule

S

  • Secant method
  • Shifting nth-root algorithm
  • Solving quadratic equations with continued fractions
  • Splitting circle method
  • Steffensen's method
Categories: Algorithms | Numerical analysis | Zero
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