Relational algebraic techniques for the synthesis of sparse matrix programs

Sparse matrix computations are ubiquitous in computational science. However, the development of high-performance software for sparse matrix computations is a tedious and error-prone task, for two reasons. First, there is no standard way of storing sparse matrices, since a variety of formats are used...

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Bibliographische Detailangaben

1. Verfasser:	Kotlyar, Vladimir
Format:	Dissertation
Sprache:	Englisch
Veröffentlicht:	ProQuest Dissertations & Theses 01.01.1999
Schlagworte:	Computer science
ISBN:	059908572X, 9780599085725
Online-Zugang:	Volltext
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