riemann_burgers.m File Reference

script demonstrating the burgers equation with explicit fv discretization, empirical interpolation and RB model reduction More...

Go to the source code of this file.

Functions
function	riemann_burgers ()
	script demonstrating the burgers equation with explicit fv discretization, empirical interpolation and RB model reduction More...

Detailed Description

script demonstrating the burgers equation with explicit fv discretization, empirical interpolation and RB model reduction

Definition in file riemann_burgers.m.

Function Documentation

function riemann_burgers

(

)

script demonstrating the burgers equation with explicit fv discretization, empirical interpolation and RB model reduction

a step needs to be selected in this script, default is 1.

example is meant to demonstrate automatic space dimension reduction of the algorithm. The interpolation basis functions are nicely vertical stripes. The error convergence in ei however is constant until 100 basis functions then drops to zero. Interesting fact, but clearly M not variable afterwards!!! As a reduced basis, two shock-trajectories are used.

Definition at line 17 of file riemann_burgers.m.

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