Charles Van Loan
PhD University of Michigan, 1973

We continue to develop new methods for various Kronecker product computations. In particular, we have a method for solving the nearest Kronecker product problem when the factor matrices are subjected to inhomogeneous constraints. Some applications in signal processing and Markov processes are solved as a result. Kronecker product descriptions for various fast wavelet transforms have also been derived. Our aim is to proceed by analogy to the FFT, where such descriptions have played an important role in the development of high-performance algorithms.

Both undergraduate texts on computational science that I have been working on for the last four years are now in production. One is currently being translated into C in anticipation of the fall semester.

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Last modified: 25 November 1995 by Denise Moore (