Optimization: principles and algorithms, by Michel Bierlaire
run0703df.m
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1 %> \file
2 %> Runs example 7.3 with Newton's method with finite differences, one variable (Tables 8.1 and 8.2)
3 %>
4 %> @ingroup Running
5 %> @ingroup chap08
6 %> @author <a href="http://people.epfl.ch/michel.bierlaire">Michel Bierlaire</a>
7 %> @date Thu Mar 19 09:50:54 2015
8 
9 %> @note Calls \ref newtonFinDiffOneVariable
10 
11 tau = 1.0e-7
12 root = newtonFinDiffOneVariable('ex0703',2.0,1.0e-15,tau)
13 
14 tau = 0.1
15 root = newtonFinDiffOneVariable('ex0703',2.0,1.0e-15,tau)
16 
17 
ex0703
function ex0703(in x)
Example 7.3 in .
Copyright 2015-2018 Michel Bierlaire