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描述
数值方法 计算方法与算法概述；基本概念（算法、计算成本、收敛、稳定性）；函数根；线性方程组；数值积分与微分；常微分方程的 Runge-Kutta 方法；偏微分方程的有限差分法；快速傅里叶变换；蒙特卡洛方法。在科学编程语言中实现数值算法。讲座，每周3小时；实验，每周1小时。先修课程：MATH 1P02或1P06；MATH 1P11或1P12；MATH 2P12 或经授课教师许可。注：本课程可能通过多种授课方式开设。授课方式将在学期相关的学术时间表中列出。
先修课程
- 先修课程：MATH 1P02或1P06；MATH 1P11或1P12；MATH 2P12 或经授课教师许可。
条件与方式
- 先修课程：MATH 1P02或1P06；MATH 1P11或1P12；MATH 2P12 或经授课教师许可。
- 注：本课程可能以多种授课方式开设。授课方式将在适用学期的学术课程表中列出。
原文参考文本
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.
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来源参考 : https://brocku.ca/webcal/2024/undergrad/math.html