Design of optimal Runge-Kutta methods - FEniCS Project
Design of optimal Runge-Kutta methods - FEniCS Project
Design of optimal Runge-Kutta methods - FEniCS Project
SHOW LESS
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Two-step optimization process<br />
Our optimization approach proceeds in two steps:<br />
1 Optimize the linear stability or accuracy <strong>of</strong> the scheme by choosing<br />
the stability polynomial coefficients αj<br />
2 Optimize the nonlinear stability/accuracy and storage requirements by<br />
choosing the Butcher coefficients aij, bj.<br />
D. Ketcheson (KAUST) 30 / 36
Change language