0697 - 數值分析
Numerical Analysis
教育目標 Course Target
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.
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 Course Description
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.
Course Overview
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.
參考書目 Reference Books
Numerical Analysis 10th Edition Richard L. Burden, J. Douglas Faires & Annette M. Burden
Numerical Analysis 10th Edition Richard L. Burden, J. Douglas Faires & Annette M. Burden
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
課前診斷考 Pre-class examination |
10 | |
期中考 Midterm exam |
20 | |
期末考 Final exam |
20 | |
報告 report |
30 | |
指定作業小小考 A small test for designated operations |
15 | 助教課 |
出席狀況 Attendance status |
5 |
授課大綱 Course Plan
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相似課程 Related Courses
無相似課程 No related courses found
課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 0697
- 學分 Credit: 0-3
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上課時間 Course Time:Monday/1,2,Thursday/5,6[ST520]
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授課教師 Teacher:胡馨云
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修課班級 Class:應數系2
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選課備註 Memo: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
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