Abstract
This paper describes enhanced services for remote model reduction of large-scale, dense linear time-invariant systems. Specifically, we describe a Web service and a Mail service for parallel model reduction on a cluster of Intel Pentium-II architectures using absolute error methods. These services improve the appeal and accessibilityof the parallel library.
Cite
CITATION STYLE
Benner, P., Mayo, R., Quintana-Ortí, E. S., & Quintana-Ortí, G. (2002). Enhanced services for remote model reduction of large-scale dense linear systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2367, pp. 329–338). Springer Verlag. https://doi.org/10.1007/3-540-48051-x_33
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