109年第2學期-0697 數值分析 課程資訊

評分方式

評分項目	配分比例	說明
課前診斷考	10
期中考	20
期末考	20
報告	30
指定作業小小考	15	助教課
出席狀況	5

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 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：一/1,2,四/5,6[ST520]
修課班級：應數系2
修課年級：年級以上
選課備註：微積分(一)(上期)與程式語言都及格(C-)可修；B群組7選5，107學年(含)後入學適用；106學年(含)前入學必修

參考書目

Numerical Analysis 10th Edition Richard L. Burden, J. Douglas Faires & Annette M. Burden