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Dec 03, 2024
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GE 611 - Numerical Methods3 lecture hours 0 lab hours 3 credits
Course Description
This course introduces numerical methods for solving ordinary differential equations and partial differential equations with engineering applications. (prereq: Computer programming, Differential Equations and Laplace Transform, Graduate standing)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
• No course learning outcomes appended
Prerequisites by Topic
• Computer Programming
• Differential equations and Laplace Transform
Course Topics
• Taylor series, Error propogation, Numerical Differentiation, Forward-Backward-Central difference formulations of First and Second derivatives, Richardson’s Extrpolation
• Numerical Integration: Newton-Gregory forward formula for interpolation, Trapezoidal rule, Simpson’s rules, Boole’s rule, Romberg Integration
• Root finding methods: Bisection, False position, Fixed-point iteration, Newton-Raphson, Secant, Modified Secant
• Ordinary Differential Equations: Initial Value problems, Euler’s method, Heun’s method, Runge-Kutta methods- Third order and Fourth Order, Stiff equations: Implicit Euler’s method, Adam’s solvers: Explicit and Implicit methods, Milne’s predictor-corrector methods
Laboratory Topics
• None appended
Coordinator
Subha Kumpaty
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