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  2. Steffensen's method - Wikipedia

    en.wikipedia.org/wiki/Steffensen's_method

    The secant method increases the number of correct digits by "only" a factor of roughly 1.6 per step, but one can do twice as many steps of the secant method within a given time. Since the secant method can carry out twice as many steps in the same time as Steffensen's method, [b] in practical use the secant method actually converges faster than ...

  3. Secant method - Wikipedia

    en.wikipedia.org/wiki/Secant_method

    In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite-difference approximation of Newton's method, so it is considered a quasi-Newton method.

  4. ITP method - Wikipedia

    en.wikipedia.org/wiki/ITP_Method

    In numerical analysis, the ITP method (Interpolate Truncate and Project method) is the first root-finding algorithm that achieves the superlinear convergence of the secant method [1] while retaining the optimal [2] worst-case performance of the bisection method. [3]

  5. Sidi's generalized secant method - Wikipedia

    en.wikipedia.org/wiki/Sidi's_generalized_secant...

    The method is a generalization of the secant method. Like the secant method, it is an iterative method which requires one evaluation of in each iteration and no derivatives of . The method can converge much faster though, with an order which approaches 2 provided that satisfies the regularity conditions described below.

  6. Davidon–Fletcher–Powell formula - Wikipedia

    en.wikipedia.org/wiki/Davidon–Fletcher–Powell...

    The Davidon–Fletcher–Powell formula (or DFP; named after William C. Davidon, Roger Fletcher, and Michael J. D. Powell) finds the solution to the secant equation that is closest to the current estimate and satisfies the curvature condition. It was the first quasi-Newton method to generalize the secant method to a

  7. Brent's method - Wikipedia

    en.wikipedia.org/wiki/Brent's_method

    The idea to combine the bisection method with the secant method goes back to Dekker (1969).. Suppose that we want to solve the equation f(x) = 0.As with the bisection method, we need to initialize Dekker's method with two points, say a 0 and b 0, such that f(a 0) and f(b 0) have opposite signs.

  8. File:Secant method example code result.svg - Wikipedia

    en.wikipedia.org/wiki/File:Secant_method_example...

    Created with Gnuplot using the following input file: set terminal svg font "Bitstream Vera Sans,12" set output "Secant_method_example_code_result.svg" set xrange [0:1] set yrange [-0.5:3] set xzeroaxis linetype -1 set yzeroaxis linetype -1 set xtics axis nomirror offset 0,0.3 set ytics axis nomirror offset -0.8 set key off set border 0 plot -1.4596976941*x + 1.0000000000 with line lt rgbcolor ...

  9. Root-finding algorithm - Wikipedia

    en.wikipedia.org/wiki/Root-finding_algorithm

    Brent's method is a combination of the bisection method, the secant method and inverse quadratic interpolation. At every iteration, Brent's method decides which method out of these three is likely to do best, and proceeds by doing a step according to that method. This gives a robust and fast method, which therefore enjoys considerable popularity.