[PDF] Math 128a: Runge-Kutta Methods



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ANALYSIS OF AN EULER IMPLICIT - MIXED FINITE ELEMENT SCHEME

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• Motivation for Implicit Methods: Stiff ODE’s – Stiff ODE Example: y0 = −1000y ∗ Clearly an analytical solution to this is y = e−1000t This large negative factor in the exponent is a sign of a stiff ODE It means this term will drop to zero and become insignficant very quickly Recalling how Forward Euler’s Method works



Math 128a: Runge-Kutta Methods

This leads us to Implicit Euler’s method To clarify, the usual Euler’s method goes by the name Explicit Euler (or Forward Euler) Here we introduce Implicit Euler (or Backward Euler) k 1 = f(t n+1;w n+1) w n+1 = w n + hk 1 But this is not quite in the form of a Runge Kutta method, because the second argument of the fevaluation in k 1



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SOLVING THE BACKWARD EULER METHOD For a general di erential equation, we must solve y n+1 = y n + hf (x n+1;y n+1) (1) for each n In most cases, this is a root nding problem for the equation z = y n + hf (x n+1;z) (2) with the root z = y n+1 Such numerical methods (1) for solving di erential equations are called implicit methods Methods in



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