Project 12 continues the spectroscopic problem that was introduced in Project 11. However, this time, there will be some constraints placed on the error matrix.
In Project 11, we concentrated on minimizing the error. In the new approach, the constraint on the behavior of the error matrix means that our minimization procedure must be changed. Instead of seeking the minimum over all error matrices, we now are looking for the minimum over all error matrices...that satisfy our new constraint. This procedure is called constrained optimization, and is a very common situation in computational science.
You can go up one level to the Computational Science Projects page.