107年第2學期-0789 數值分析 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| Quizs & Exams | 50 | Quizs, midterm, Final Exam |
| Projects (computer assignment) | 30 | Two Projects |
| Performances | 20 | 上課表現與助教課 |
選課分析
本課程名額為 70人，已有30 人選讀，尚餘名額40人。
登入後可進行最愛課程追蹤 [按此登入]。
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.
課程資訊
基本資料
必修課，學分數：0-3
上課時間：一/6,7,8,三/2[ST529]
修課班級：應數系3
修課年級：年級以上
選課備註：3-4年級程式語言及格可修，2年級微積分與程式語言都及格經授課教師同意可修
教師與教學助理
授課教師：黃皇男
大班TA或教學助理：尚無資料
Office Hour一、三/13:30-14:05[ST622]
Other time, please make an appointment in advance
授課大綱
授課大綱：開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
R.L. Burden, J.D. Faires and A.M. Burden , Numerical Analysis, 10th edition, Brooks/Cole-Cengage Learning, 2016
或
J.D. Faires, R.L. Burden, Numerical Methods, 4th edition, Brooks/Cole-Cengage Learning, 2013
開課紀錄
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