Theory, methods, applications, software designtheory, methods, applications, software design
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.
Applied Numerical Methods with MATLAB for Eigineers and Scientists , 3rd ed.
by Steven C. Chapra
McGraw-Hill
applied numerical methods with MATLAB for EI gin E and sand scientists , 3 people’s viciousness.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| HWs, presentations, in-class examHWs, presentations, in-class exam HW Yu, presentations, in-class exam |
30 | |
| Mid-term examMid-term exam mid-term exam |
30 | |
| Final examFinal exam final exam |
40 |
