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Re: Root finding page manual suggestion
- To: Francesco Potorti` <pot at gnu dot org>
- Subject: Re: Root finding page manual suggestion
- From: Jonathan Leto <jonathan at leto dot net>
- Date: Thu, 18 Oct 2001 21:07:51 -0500
- Cc: gsl-discuss at sources dot redhat dot com
- References: <E15uDcB-00021q-00@pot.cnuce.cnr.it>
- Reply-To: jonathan at leto dot net
Just as a word of warning, I found a interesting site called
"Why not use Numerical Recipes?", written by JPL.
Link: http://math.jpl.nasa.gov/nr/
It seems that a few professional numerical analysts have found
quite a few things wrong with much of the code and theory.
Francesco Potorti` (pot@gnu.org) was saying:
> In the "Root Finding Algorithms using Derivatives" page one reads that
> the Newton's method converges quadratically for single roots, while the
> secant method has 1.6 convergence order, and "can be useful when
> computation of the derivative is costly".
>
> In fact, as far as I know, it is almost always preferable to Newton's
> method.
>
> Quoting from "Numerical Methods" by Germund Dahlquist and Ake Bjorck,
> translated by Ned Anderson - Prentice-Hall Inc., 1974.
>
> Chapter 6.4.1. (the end) pg 229
> The choice between the secant method and Newton-Raphson's method
> depends on the amount of work required to compute f'(x). Suppose the
> amount of work to compute f'(x) is T times the amount of work to
> compute a value of f(x). Then an asymptotic analysis can be used to
> motivate the rule: if T > 0.44, then use the secant method; otherwise,
> use Newton-Raphson's method.
>
> I've used this criterion in some small numerical program I've written,
> and it works ok. The above means that Newton's method wins only if
> computing f'(x) is more than twice faster than computing f(x), a quite
> rare occurrence in practice. I suggest this fact to be mentioned in the
> manual.
>
> Please Cc to me while replying, as I am not subscribed to the list.
--
jonathan@leto.net
"Wir mussen wissen. Wir werden wissen."