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Feb 19, 2025
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MATH 3P60 - 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.
Course Format: Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s): MATH 1P02 or MATH 1P06 ; MATH 1P11 or MATH 1P12 ; MATH 2P12 or permission of the instructor
Course Notes: 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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