Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

Friday, April 6 at 12:00pm
Frank H.T. Rhodes Hall, 253
Optimization of multidisciplinary systems is critical as slight performance improvements can provide significant benefits over the…