Optimization: principles and algorithms, by Michel Bierlaire
chap11
runQuadraticInterpolation.m
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%> \file
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%> Runs example 11.3 with quadratic interpolation (table 11.2)
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%>
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%> \note Calls \ref
quadraticInterpolation
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%>
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%> @ingroup Running
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%> @ingroup chap11
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%> @author <a href=
"http://people.epfl.ch/michel.bierlaire"
>Michel Bierlaire</a>
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%> @date Fri Mar 20 17:34:20 2015
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delta = 6 ;
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eps = 1.0e-3 ;
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xstar =
quadraticInterpolation
(
'ex1103'
,delta,eps)
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quadraticInterpolation
function quadraticInterpolation(in obj, in delta, in eps)
Find a local minimum of the problem , where .
Copyright 2015-2018
Michel Bierlaire