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  2. Regula falsi - Wikipedia

    en.wikipedia.org/wiki/Regula_falsi

    The regula falsi method calculates the new solution estimate as the x-intercept of the line segment joining the endpoints of the function on the current bracketing interval. Essentially, the root is being approximated by replacing the actual function by a line segment on the bracketing interval and then using the classical double false position ...

  3. Root-finding algorithm - Wikipedia

    en.wikipedia.org/wiki/Root-finding_algorithm

    The construction of the queried point c follows three steps: interpolation (similar to the regula falsi), truncation (adjusting the regula falsi similar to Regula falsi § Improvements in regula falsi) and then projection onto the minmax interval. The combination of these steps produces a simultaneously minmax optimal method with guarantees ...

  4. Secant method - Wikipedia

    en.wikipedia.org/wiki/Secant_method

    Bracketing with a super-linear order of convergence as the secant method can be attained with improvements to the false position method (see Regula falsi § Improvements in regula falsi) such as the ITP method or the Illinois method. The recurrence formula of the secant method can be derived from the formula for Newton's method

  5. Line search - Wikipedia

    en.wikipedia.org/wiki/Line_search

    Regula falsi is another method that fits the function to a degree-two polynomial, but it uses the first derivative at two points, rather than the first and second derivative at the same point. If the method is started close enough to a non-degenerate local minimum, then it has superlinear convergence of order φ ≈ 1.618 {\displaystyle \varphi ...

  6. Polynomial root-finding - Wikipedia

    en.wikipedia.org/wiki/Polynomial_root-finding

    For finding all the roots, arguably the most reliable method is the Francis QR algorithm computing the eigenvalues of the companion matrix corresponding to the polynomial, implemented as the standard method [1] in MATLAB. The oldest method of finding all roots is to start by finding a single root.

  7. 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]

  8. Talk:Regula falsi - Wikipedia

    en.wikipedia.org/wiki/Talk:Regula_falsi

    But even if it were established that something meaning "False Positions" were being used to name that method, in 1591, but it was replaced by "Regula Falsi" (which is not a Latin translation of "false positioni") by 1691, then, with Regula Falsi becoming the widespread term, that wouldn't support False Positions as the more legitimate term.

  9. Rule of false position - Wikipedia

    en.wikipedia.org/?title=Rule_of_false_position&...

    Retrieved from "https://en.wikipedia.org/w/index.php?title=Rule_of_false_position&oldid=906963438"