(Difference between revisions)
 Revision as of 02:59, 3 October 2005 (view source)Zxaar (Talk | contribs)← Older edit Revision as of 03:02, 3 October 2005 (view source)Zxaar (Talk | contribs) Newer edit → Line 14: Line 14: # Weighted interpolation: $\phi _f = w\phi _1 + \left( {1 - w} \right)\phi _0$ # Weighted interpolation: $\phi _f = w\phi _1 + \left( {1 - w} \right)\phi _0$ #Arithmatic Average: $\phi _f = 0.5 \left( \phi _1 + \phi _0 \right)$ #Arithmatic Average: $\phi _f = 0.5 \left( \phi _1 + \phi _0 \right)$ + + == Note == + The above mentioned gradients are sometimes called '''unlimited gradients''' since the face value obtained from them can exceed the bounding cell values. For this reason, for implementing higher order schemes, it becomes important to restrict them, so as not to introduce over and undershoot of variables.

## Revision as of 03:02, 3 October 2005

From Green-Gauss theorem:

$\int\limits_V {\nabla \phi dV = } \oint\limits_A {\phi dA}$

Written in discrete form:

$\left( {\nabla \phi } \right)_0 = {1 \over V}\sum\limits_f {\bar \phi _f A_f }$

## Value at Face

There are many ways of estimating value of $\phi$ at face.

1. Weighted interpolation: $\phi _f = w\phi _1 + \left( {1 - w} \right)\phi _0$
2. Arithmatic Average: $\phi _f = 0.5 \left( \phi _1 + \phi _0 \right)$

## Note

The above mentioned gradients are sometimes called unlimited gradients since the face value obtained from them can exceed the bounding cell values. For this reason, for implementing higher order schemes, it becomes important to restrict them, so as not to introduce over and undershoot of variables.