期刊
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
卷 123, 期 1-2, 页码 85-100出版社
ELSEVIER
DOI: 10.1016/s0377-0427(00)00393-9
关键词
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The Kronecker product has a rich and very pleasing algebra that supports a wide range of fast, elegant, and practical algorithms. Several trends in scientific computing suggest that this important matrix operation will. have an increasingly greater role to play in the future. First, the application areas where Kronecker products abound are all thriving. These include signal processing, image processing, semidefinite programming, and quantum computing. Second, sparse factorizations and Kronecker products are proving to be a very effective way to look at fast linear transforms. Researchers have taken the Kronecker methodology as developed for the fast Fourier transform and used it to build exciting alternatives. Third, as computers get more powerful, researchers are more willing to entertain problems of high dimension and this leads to Kronecker products whenever low-dimension techniques are tensored together. (C) 2000 Elsevier Science B.V. All rights reserved.
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