100年第1學期-0651 數值分析 課程資訊

評分方式

評分項目	配分比例	說明
Quiz	20	小考 共兩次
Exam	30	期中及期末
Computer Assignment	40	分組繳交報告 共四次
Performance	10	正課 演習課 出席狀況

教育目標

To introduce modern approximation techniques; to explain how, why, and when they can be expected to work; and to provide a foundation for further study of numerical analysis and scientific computing.

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：四/9,五/5,6,7[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50分(含)以上者修課

參考書目

R. L. Burden & J. D. Faires, Numerical Analysis, 8th edition, Thomson Brooks/Cole, 2005