# wesleybowman/shocksInBurgersEquation

Finding shocks in Burger's Inviscid Equation given a continuous initial function.
Tcl C Python
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# shocksInBurgersEquation

Finding shocks in Burger's Inviscid Equation given a continuous initial function.

This program is used to find the shock in the system of Burger's invisicid equation given a continuous initial function. These initial condtions make it to where we cannot easily analytically solve for the locations of the shock.

This program takes the initial function, moves it along by some time step, and then it trys to find if a shock has occured. If there is no shock, it continues to the next time step. If there is a shock, it calculates that shock using the Equal Area Rule. More on what shocks are, how we find them, and all other math involved with this project, please see the pdf included called Numerical_approximation_to_shock_formation.pdf

# More In-Detailed Information

The user is given a list of functions (at the time of writing, the list of functions is the Gaussian from -10 to 10, the hyperbolic tangent from -10 to 10, and a sine from 0 to pi) from which they can choose which function they want to see the shocks of. The program then will calculate when the first shock occurs. Once this shock has been reached, it shows a plot of the initial function that is unaltered along with the altered function that has stopped at the first shock.

After this graph is closed, the program will loop through the remaining time values, and find the shock at that time value using the equal area rule. To do this, it splits up the function into it's upper section, middle section, and bottom section. Then, it finds the midpoint of the top section and uses that as a guess for where the shock is located. It then takes the integral of the left and right sides of the sectioned off function, and changes the guess until it has a close approximation to where the shock is located. This sectioned off view of the function and the value at where the integral ends of working at is then shown in a graph (all of this is a little hard to explain, but the graph should show what I am talking about here). After this, it calculates the characteristics, and plots the values that were found for the shocks on the characteristic plot. The program then does a simply animation of the initial function as time progresses.