From 34aa535b322d194d30e5113d592a10e32b9dd5fe Mon Sep 17 00:00:00 2001 From: Christopher Rackauckas Date: Tue, 15 Aug 2023 00:21:38 +0200 Subject: [PATCH] Update docs/src/solvers/BracketingSolvers.md --- docs/src/solvers/BracketingSolvers.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/src/solvers/BracketingSolvers.md b/docs/src/solvers/BracketingSolvers.md index d86f79b4e..0aeae323b 100644 --- a/docs/src/solvers/BracketingSolvers.md +++ b/docs/src/solvers/BracketingSolvers.md @@ -8,8 +8,6 @@ Solves for ``f(t)=0`` in the problem defined by `prob` using the algorithm ## Recommended Methods `ITP()` is the recommended method for the scalar interval root-finding problems. It is particularly well-suited for cases where the function is smooth and well-behaved; and achieved superlinear convergence while retaining the optimal worst-case performance of the Bisection method. For more details, consult the detailed solver API docs. -`Falsi()` can have a faster convergence and is discretely differentiable, but is -less stable than `Bisection`. `Ridder` is a hybrid method that uses the value of function at the midpoint of the interval to perform an exponential interpolation to the root. This gives a fast convergence with a guaranteed convergence of at most twice the number of iterations as the bisection method. `Brent` 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.