Multigrid iterative methods are one of the most significant developments in the numerical solution of partial differential equations in the last twenty years. Multigrid methods have been analyzed from several diverse perspectives, from Fourier-like spectral decompositions to approximate Gaussian Elimination, with each perspective yielding new insight. In this lecture we will introduce the multigrid method, and survey several of the tools used in its analysis.