So you want to solve a linear system of equations?
You have a matrix A and a vector b. How hard could it be to find x that solves Ax=b? Just do Gaussian elimination, right? Sometimes this is the best choice, but there are also many other algorithms to choose from. In this talk I'll go over some of the complications that naturally arise in realistic scientific examples and explain what goes into choosing the right algorithm.