This covers essentially all the finite element method and its solution using the conjugate gradient method |
Only the simple 2D Laplace equation using triangular nodes is discussed |
We stress variational method as an optimization method and you use this analogy to motivate conjugate gradient as an improved steepest descent approach |
We discuss parallel computing issues for both finite element and conjugate gradient |