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The convergence rate of the bisection method could possibly be improved by using a different solution estimate. 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 ...
Actually, in Latin, Regula can refer to straight things other than a ruler, and so "Straight Line of Falsehood", is the best guess for Regula Falsi's meaning. ...because Regula Falsi is based on a false, or only approximate, assumption that the function is linear. --MichaelOssipoff 17:27, 10 December 2015 (UTC)MichaelOssipoff
This definition is technically called Q-convergence, short for quotient-convergence, and the rates and orders are called rates and orders of Q-convergence when that technical specificity is needed. § R-convergence , below, is an appropriate alternative when this limit does not exist.
This means that the false position method always converges; however, only with a linear order of convergence. 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 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
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In case you are wondering, I used the Burden & Faires 8th edition. I understand from previous discussions on the rate of convergence page that some of you are already familiar with this book. The two definitions are entirely different with the rate of convergence being defined on page 35 and order of convergence being defined on page 75.
Edmond Halley was an English mathematician and astronomer who introduced the method now called by his name. The algorithm is second in the class of Householder's methods, after Newton's method. Like the latter, it iteratively produces a sequence of approximations to the root; their rate of convergence to the root is cubic. Multidimensional ...