102年第2學期-0790 數值分析 課程資訊

評分方式

評分項目	配分比例	說明
期中期末考	50
成果報告	40	共四次
出席及上台解題	10

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：0-3
上課時間：一/3,4,五/3,4[ST520]
修課班級：應數系3
修課年級：年級以上
選課備註：程式語言達50分可修

參考書目

Numerical Methods, 4th edition, J. Douglas Faires/Richard Burden
2013, 2003, 1998 Brooks/Cole, Cengage Learning