Semester(s) Offered:
Description:
Numerical theory and practices used in solving ordinary differential equations and PDE. Covers Euler’s method, trapezoidal rule, multi-step methods, Runge-Kutta, error control, finite differences, implicit and explicit schemes, iterative methods, and stability.