Optimization: principles and algorithms, by Michel Bierlaire
runQuadraticInterpolation.m
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1 %> \file
2 %> Runs example 11.3 with quadratic interpolation (table 11.2)
3 %>
4 %> \note Calls \ref quadraticInterpolation
5 %>
6 %> @ingroup Running
7 %> @ingroup chap11
8 %> @author <a href="http://people.epfl.ch/michel.bierlaire">Michel Bierlaire</a>
9 %> @date Fri Mar 20 17:34:20 2015
10 
11 delta = 6 ;
12 eps = 1.0e-3 ;
13 xstar = quadraticInterpolation('ex1103',delta,eps)
14 
15 
function quadraticInterpolation(in obj, in delta, in eps)
Find a local minimum of the problem , where .
Copyright 2015-2016 Michel Bierlaire