Higher order method - RK
- Higher accuracy can be achived using Taylor expansion.
-
- ex. \(\displaystyle u^{k+1}=u^{k}+h\,\mathcal{F}(u^k,t^k)+\frac{h^2}{2}\frac{\mathrm{d}\mathcal{F}}{\mathrm{d}t}(u^k,t^k)\)
- - Second order accurate: 2nd order explicit Euler
- - Higher order can achieve arbitrary accuracy.
- - In practice: computing derivatives of \(\mathcal{F}\) is complex.
- \(\Rightarrow\) Not often used in practice
- Instead: Runge Kutta
-
- - Reach higher order accuracy
- - Only involve the knowledge of \(\mathcal{F}\), without its derivatives
- - Involves several successives evaluations of \(\mathcal{F}\)