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Bisection method and Muellers method added
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@ -216,4 +216,38 @@ initial guess.
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\todo[inline]{TODO}
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\clearpage
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\subsubsection{Muller's method}
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Muller's method was first presented by David E. Muller in 1956.
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\subsubsection{Bisection method}
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The idea of the bisection method is the following:
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Suppose you know a finite intervall $[a,b]$ in which you have
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exactly one root $r \in (a,b)$ with $f(r) = 0$.
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Then you can half that interval:
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\[[a, b] = \left [a, \frac{a+b}{2} \right ] \cup \left [\frac{a+b}{2}, b \right ]\]
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Now three cases can occur:
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\begin{enumerate}
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\item[Case 1] $f(\frac{a+b}{2})=0$: You have found the exact root.
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\item[Case 2] $\sgn(a) = \sgn(\frac{a+b}{2})$: Continue searching in $[\frac{a+b}{2}, b]$
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\item[Case 3] $\sgn(b) = \sgn(\frac{a+b}{2})$: Continue searching in $[a, \frac{a+b}{2}]$
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\end{enumerate}
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\subsubsection{Bairstow's method}
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Cite from Wikipedia:
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The algorithm first appeared in the appendix of the 1920 book "Applied Aerodynamics" by Leonard Bairstow. The algorithm finds the roots in complex conjugate pairs using only real arithmetic.
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[...]
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\todo[inline]{Find a source for the following!}
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A particular kind of instability is observed when the polynomial has odd degree and only one real root.
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\section{Defined on a closed interval $[a,b] \subseteq \mdr$}
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The point with minimum distance can be found by:
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\[\underset{x\in[a,b]}{\arg \min d_{P,f}(x)} = \begin{cases}
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S_3(f, P) &\text{if } S_3(f, P) \cap [a,b] \neq \emptyset\\
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TODO &\text{if } S_3(f, P) \cap [a,b] = \emptyset
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\end{cases}\]
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