This chapter subsection briefly discusses two techniques for finding the zeros
of a function in one variable, namely the Direct Iterative and the Newton-
Raphson techniques. We do not concern ourselves too much, at this point,
with an optimization of the routine execution time, nor with the inherent limits
of each of the methods, except in the most general way. Furthermore, to
avoid the inherent limits of these techniques in some pathological cases, we
assume that we plot each function under consideration, verify that it crosses
the
x
-axis, and satisfy ourselves in an empirical way that there does not seem
to be any pathology around the intersection point before we embark on the
application of the following algorithms. These statements will be made more
rigorous to you in future courses in numerical analysis.
This chapter subsection briefly discusses two techniques for finding the zerosof a function in one variable, namely the Direct Iterative and the Newton-Raphson techniques. We do not concern ourselves too much, at this point,with an optimization of the routine execution time, nor with the inherent limitsof each of the methods, except in the most general way. Furthermore, toavoid the inherent limits of these techniques in some pathological cases, weassume that we plot each function under consideration, verify that it crossesthex-axis, and satisfy ourselves in an empirical way that there does not seemto be any pathology around the intersection point before we embark on theapplication of the following algorithms. These statements will be made morerigorous to you in future courses in numerical analysis.
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