fixed typos
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@608871 13f79535-47bb-0310-9956-ffa450edef68
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@ -54,7 +54,7 @@
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(<a href="http://cm.bell-labs.com/cm/cs/doc/96/4-02.ps.gz">Direct
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Search Methods: Once Scorned, Now Respectable</a>), they are used
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when either the computation of the derivative is impossible (noisy
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functions, unpredictable dicontinuities) or difficult (complexity,
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functions, unpredictable discontinuities) or difficult (complexity,
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computation cost). In the first cases, rather than an optimum, a
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<em>not too bad</em> point is desired. In the latter cases, an
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optimum is desired but cannot be reasonably found. In all cases
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@ -69,7 +69,7 @@
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<p>
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The instances can be built either in single-start or in
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multi-start mode. Multi-start is a traditional way to try to avoid
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beeing trapped in a local minimum and miss the global minimum of a
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being trapped in a local minimum and miss the global minimum of a
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function. It can also be used to verify the convergence of an
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algorithm. In multi-start mode, the <code>minimizes</code>method
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returns the best minimum found after all starts, and the <code>etMinima</code>
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