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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 false position method, also called the regula falsi method, is similar to the bisection method, but instead of using bisection search's middle of the interval it uses the x-intercept of the line that connects the plotted function values at the endpoints of the interval, that is

  4. Talk:Regula falsi - Wikipedia

    en.wikipedia.org/wiki/Talk:Regula_falsi

    Of course not. All that can be said is that Regula Falsi replaced False Position (or, rather, the Italian expression with that meaning). There's no reason to believe that Regula Falsi was intended as a translation for False Position. In fact, the fact that Regula Falsi is not a valid Latin translation of False Position, weighs against such a claim.

  5. 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

  6. Brent's method - Wikipedia

    en.wikipedia.org/wiki/Brent's_method

    Modern improvements on Brent's method include Chandrupatla's method, which is simpler and faster for functions that are flat around their roots; [3] [4] Ridders' method, which performs exponential interpolations instead of quadratic providing a simpler closed formula for the iterations; and the ITP method which is a hybrid between regula-falsi ...

  7. Aitken's delta-squared process - Wikipedia

    en.wikipedia.org/wiki/Aitken's_delta-squared_process

    In numerical analysis, Aitken's delta-squared process or Aitken extrapolation is a series acceleration method used for accelerating the rate of convergence of a sequence. It is named after Alexander Aitken, who introduced this method in 1926. [1] It is most useful for accelerating the convergence of a sequence that is converging linearly.

  8. Cite this article as - images.huffingtonpost.com

    images.huffingtonpost.com/2012-11-03-Mohaietal...

    in the United States.1 Are these schools safe and healthy places for children to grow, play, and learn? Or are we exposing children to unhealthy pollution? Children are known to be more vulnerable than adults to the effects of pollution. Exposure to environmental pollutants during important times of physiological development can lead to

  9. Rate of convergence - Wikipedia

    en.wikipedia.org/wiki/Rate_of_convergence

    In asymptotic analysis in general, one sequence () that converges to a limit is said to asymptotically converge to with a faster order of convergence than another sequence () that converges to in a shared metric space with distance metric | |, such as the real numbers or complex numbers with the ordinary absolute difference metrics, if