David S. Kung
DAC 1998
In this paper we study the arithmetic complexity of computing the pth Kronecker power of an n × n matrix. We first analyze a straightforward inductive computation which requires an asymptotic average of p multiplications and p - 1 additions per computed output. We then apply efficient methods for matrix multiplication to obtain an algorithm that achieves the optimal rate of one multiplication per output at the expense of increasing the number of additions, and an algorithm that requires O(log p) multiplications and O(log2p) additions per output. © 1983.
David S. Kung
DAC 1998
Leo Liberti, James Ostrowski
Journal of Global Optimization
Robert E. Donovan
INTERSPEECH - Eurospeech 2001
Alfonso P. Cardenas, Larry F. Bowman, et al.
ACM Annual Conference 1975