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