計算數學
Computational Mathematics
To have basic knowledge of numerical analysis, algorithm and programming skills.
Calculus; Linear algebra
無備註
線下測驗時間: 2019/2/23(六), 2019/4/27(六), 2019/7/20(六)
線上 quizzes (10%) 線下: 1st Exam[Ch1-4] (35%) 2nd Exam[Ch5-7] (35%) Programming Exam[Ch1-4] (20%) 線下的 1st, 2nd and programming exam 均允許多次測驗, 各取測驗分數的平均值.
Solution of nonlinear equations
Bisection, Newton's, Secant methods and fixed point iteration.
Solving system of linear equations
LU and Cholesky factorization; Gaussian elimination; Solution of equations by iterative methods; Steepest descent and conjugate gradient methods.
Selected topics in numerical linear algebra
Matrix eigenvalue problem: Power method
Approximating Functions
Polynomial interpolation; Hermite interpolation; Spline interpolation; Best approximation: Least-square and Chebyshev theory.
Numerical Integration
Numerical integration based on interpolation; Gaussian quadrature.
Mathematical Preliminaries
Taylor's Theorem; Order of convergence.
教師未提供此項資料
Numerical Analysis: Mathematics of Scientific Computing (3rd Edition) by David Kincaid and Ward Cheney
- 地點
- SA242
- 時間
- By appointment
- 聯絡方式
- tslin@math.nctu.edu.tw
