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<h3 class="section">33.2 Caveats</h3>

<p><a name="index-root-finding_002c-caveats-2382"></a>
Note that root finding functions can only search for one root at a time. 
When there are several roots in the search area, the first root to be
found will be returned; however it is difficult to predict which of the
roots this will be. <em>In most cases, no error will be reported if
you try to find a root in an area where there is more than one.</em>

   <p>Care must be taken when a function may have a multiple root (such as
<!-- {$f(x) = (x-x_0)^2$} -->
f(x) = (x-x_0)^2 or
<!-- {$f(x) = (x-x_0)^3$} -->
f(x) = (x-x_0)^3). 
It is not possible to use root-bracketing algorithms on
even-multiplicity roots.  For these algorithms the initial interval must
contain a zero-crossing, where the function is negative at one end of
the interval and positive at the other end.  Roots with even-multiplicity
do not cross zero, but only touch it instantaneously.  Algorithms based
on root bracketing will still work for odd-multiplicity roots
(e.g. cubic, quintic, <small class="dots">...</small>). 
Root polishing algorithms generally work with higher multiplicity roots,
but at a reduced rate of convergence.  In these cases the <dfn>Steffenson
algorithm</dfn> can be used to accelerate the convergence of multiple roots.

   <p>While it is not absolutely required that f have a root within the
search region, numerical root finding functions should not be used
haphazardly to check for the <em>existence</em> of roots.  There are better
ways to do this.  Because it is easy to create situations where numerical
root finders can fail, it is a bad idea to throw a root finder at a
function you do not know much about.  In general it is best to examine
the function visually by plotting before searching for a root.

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