此參考說明所註明的目錄。請向該機構確認當前課程供給與適用於你入學的條件。
課程說明
數值方法 計算方法與演算法概述；基本概念（演算法、計算成本、收斂、穩定性）；函數根；線性系統；數值積分與微分；常微分方程之 Runge-Kutta 法；偏微分方程之有限差分法；快速傅立葉轉換；蒙地卡羅方法。在科學程式語言中實作數值演算法。講課，每週3小時；實驗，每週1小時。先修科目：MATH 1P02 或 1P06；MATH 1P11 或 1P12；MATH 2P12 或授課教師許可。註：本課程可能以多種授課模式提供。授課方式將在學期課程時刻表中列示於相應學期。
先修條件
- 先修科目：MATH 1P02 或 1P06；MATH 1P11 或 1P12；MATH 2P12 或授課教師許可。
條件與方式
- 先修科目：MATH 1P02 或 1P06；MATH 1P11 或 1P12；MATH 2P12 或授課教師許可。
- 注意：此課程可能以多種授課方式開設。授課方式將在適用學期的學術時刻表中列出。
原文參考文本
Numerical Methods Survey of computational methods and algorithms; basic concepts (algorithm, computational cost, convergence, stability); roots of functions; linear systems; numerical integration and differentiation; Runge-Kutta method for ordinary differential equations; finite-difference method for partial differential equations; fast Fourier transform; Monte Carlo methods. Implementation of numerical algorithms in a scientific programming language. Lectures, 3 hours per week; lab, 1 hour per week. Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
- Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
來源與參考
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來源參考 : https://brocku.ca/webcal/2024/undergrad/math.html