99年第1學期-0652 數值分析 課程資訊

評分方式

評分項目	配分比例	說明
HWs, presentations, in-class exam	30
Mid-term exam	30
Final exam	40

教育目標

Theory, methods, applications, software design

課程概述

課程概述 Round-off error; algorithms and convergence; the bisection method; the fixed-point iteration; the Newton method; accelerating convergence; the Muller method; Lagrange interpolation; Newton divided differences; Hermite interpolation; cubic spline interpolation; numerical differentiation; Richardson extrapolation; numerical integration; composite numerical integration; Romberg integration; Gaussian quadrature; adaptive quadrature method; initial value problem; the Euler method; higher-order Taylor method; the Runge-Kutta methods and so on.

基本資料

必修課，學分數：3-0
上課時間：一/1,三/5,6,7[ST523]
修課班級：數學系3
修課年級：年級以上
選課備註：限程式語言及格者

參考書目

Applied Numerical Methods with MATLAB for Eigineers and Scientists , 2nd ed.
by Steven C. Chapra
McGraw-Hill