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This paper presents a new algorithm for the computation of the eigenvalues of real symmetric matrices. The concurrent implementation is described and the algorithm is expressed in terms of a collection of communicating processes. This implementation is suitable for distributed systems, like transputers, network of transputers, multiprocessor supercomputers or sets of interconnected SIMD machines.
Numerical computation of eigenvalues and eigenvectors of matrices, distributed systems, multiprocessor supercomputers, algorithm, network of transputers, eigenvalues, Parallel numerical computation, implementation, real symmetric matrices
Numerical computation of eigenvalues and eigenvectors of matrices, distributed systems, multiprocessor supercomputers, algorithm, network of transputers, eigenvalues, Parallel numerical computation, implementation, real symmetric matrices
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |