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INTRODUCTION TO NUMERICAL ANALYSIS

Cho, Hyoung KyuDepartment of Nuclear EngineeringSeoul National UniversityCho, Hyoung KyuDepartment of Nuclear EngineeringSeoul National UniversityINTRODUCTION TO NUMERICAL ANALYSIS8. NUMERICAL Finite Difference Approximation of the Finite Difference Formulas using Taylor Series Finite Difference Formulas of First Finite Difference Formulas for the Second Summary of Finite Difference Formulas for NUMERICAL Differentiation Formulas using Lagrange Differentiation using Curve Use of MATLAB Built In Functions for NUMERICAL Richardson's Error in NUMERICAL NUMERICAL Partial Finite Difference Approximation of the Finite Difference Formulas using Taylor Series Summary of Finite Difference Formulas for NUMERICAL Differentiation Formulas using Lagrange Differentiation

Better results with higher ... 8.6 Differentiation using Curve Fitting Differentiation of data A set of discrete points ... Least square curve fitting Ex) exponential function, power function, a combination of a non‐linear functions.

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  Using, Fitting, Better, Curves, Exponential, Curve fitting, Using curve fitting

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Transcription of INTRODUCTION TO NUMERICAL ANALYSIS