Optimization: principles and algorithms, by Michel Bierlaire
run0508.m
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1 %> \file
2 %> Runs example 5.8 with Newton's local, n variables (Table 10.1)
3 %>
4 %> @ingroup Running
5 %> @ingroup chap10
6 %> @author <a href="http://people.epfl.ch/michel.bierlaire">Michel Bierlaire</a>
7 %> @date Fri Mar 20 16:07:38 2015
8 %>
9 %> @note Calls \ref newtonLocal
10 
11 x0 = [-2 ; 1] ;
12 root = newtonLocal('ex0508gradient',x0,1.0e-15)
13 
14 x0 = [1 ; 1] ;
15 root = newtonLocal('ex0508gradient',x0,1.0e-15)
16 
17 
function ex0508gradient(in x)
Gradient of example 5.8 in .
Copyright 2015-2016 Michel Bierlaire