Yasser F. O. Mohammad Assiut University Egypt. Previously in NM Bracketing Methods Bisection False Position Fixed Point Iteration Local Convergence Methods.

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Presentation transcript:

Yasser F. O. Mohammad Assiut University Egypt

Previously in NM Bracketing Methods Bisection False Position Fixed Point Iteration Local Convergence Methods Newton Raphson Secant

Types of Convergence Local convergence Converges only if the initial approximation is near the root Newton-Raphson/Secant Global Approximation Converges as long as some condition holds for the initial approximation (even if it is not near) Bracketing methods A different initial interval is needed for every root

Graphical Initial Approximation Draw the function Locate approximate roots PROBLEM What you see may be misleading

Heuristics A heuristic is a rule that works ‘most of times in practice’ Usually better than nothing Heuristics for initial approximation A root exists between points at which the function changes sign (is this a heuristic really?) A root may exist near points at which f(x) is small and the derivative changes sign (why?)

Initial Approximation Table xixi ff' ≈0+- -+

Convergence Checks Vertical Absolute Relative Horizontal Absolute Relative What happens if: Vertical check AND Horizontal check? Vertical check OR Horizontal check? Absolute AND Relative check? Absolute OR Relative check?

Matlab Code See page 68