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

選課分析

本課程名額為 70人,已有57 人選讀,尚餘名額13人。


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授課教師

胡馨云

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.

課程資訊

參考書目

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

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