Sparse matrices: numerical aspects with applications for scientists and engineers

Authors:
U. Schendel
Affiliations:
Freie Univ., Berlin, W. Germany
Venue:
Sparse matrices: numerical aspects with applications for scientists and engineers
Year:
1989

Citing 0
Cited 3

A polynomial approximation algorithm for the minimum fill-in problem

STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Analytical models for replicate-at-send multicasting in shared-memory switches

Performance Evaluation
Sparse matrices in CS education

Journal of Computing Sciences in Colleges

Quantified Score

Hi-index	0.00

Visualization

Abstract