Algebra and Geometry Combined Explains How the Mind Does Math
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-55224-3_1
Reference20 articles.
1. Buttari, A., Langou, J., Kurzak, J., Dongarra, J.: A class of parallel tiled linear algorithms for MC architectures. Parallel Comput. 35(1), 38–53 (2009)
2. Gustavson, F.G.: Recursion leads to automatic variable blocking for dense linear-algebra algorithms. IBM J. R. & D. 41(6), 737–755 (1997)
3. Gustavson, F.G.: New generalized data structures for matrices lead to a variety of high-performance algorithms. In: Boisvert, R.F., Tang, P.T.P. (eds.) Proceedings of the IFIP WG 2.5 Working Group on The Architecture of Scientific Software, Ottawa, Canada, pp. 211–234. Kluwer Academic Publishers, Boston, October 2–4 2000
4. Gustavson, F.G.: High performance linear algebra algs. using new generalized data structures for matrices. IBM J. R. & D. 47(1), 31–55 (2003)
5. LNCS;FG Gustavson,2006
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