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Diffstat (limited to 'source/know/concept/runge-kutta-method')
| -rw-r--r-- | source/know/concept/runge-kutta-method/index.md | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/source/know/concept/runge-kutta-method/index.md b/source/know/concept/runge-kutta-method/index.md index 4c3dacf..f0e54ba 100644 --- a/source/know/concept/runge-kutta-method/index.md +++ b/source/know/concept/runge-kutta-method/index.md @@ -88,12 +88,13 @@ since this is not a practical way to describe RKMs, but it is helpful to understand how they work. + ## Example derivation For example, let us truncate at $$n = 3$$, such that $$N_1 = 3$$, $$N_2 = 3$$ and $$N_3 = 1$$. The following derivation is very general, -except it requires all $$\alpha_j \neq 0$$. +only requiring all $$\alpha_j \neq 0$$. Renaming $$\omega_{mj}$$, we start from: $$\begin{aligned} @@ -177,6 +178,7 @@ there is an enormous freedom of choice here, all leading to valid RKMs, although not necessarily good ones. + ## General form A more practical description goes as follows: |