Newton's method

In the mathematical field of numerical analysis, Newton's method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real-valued function.

See also

• Aitken's delta-squared process
• Approximation
• Bisection method
• Euler method
• Fast inverse square root
• Fisher scoring
• Function (mathematics)
• Gradient descent
• Integer square root
• Laguerre's method
• Leonid Kantorovich, who initiated the convergence analysis of Newton's method in Banach spaces.
• Methods of computing square roots
• Newton, Isaac
• Newton's method in optimization
• Numerical analysis
• Raphson, Joseph
• Real number
• Richardson extrapolation
• Root of a function
• Root-finding algorithm
• Secant method
• Steffensen's method
• Subgradient method

External links

• Newton's method @ Wikipedia