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Divide and conquer algorithms for the bandsymmetric eigenvalue problem

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Publication:1201941
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DOI10.1016/0167-8191(92)90059-GzbMath0761.65025MaRDI QIDQ1201941

Peter Arbenz

Publication date: 17 January 1993

Published in: Parallel Computing (Search for Journal in Brave)


zbMATH Keywords

symmetric eigenvalue problemcomparison of algorithmsbandwidth reductionEISPACKdivide and conquer algorithmshared memory computer


Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15)


Related Items (7)

SuperDC: Superfast Divide-And-Conquer Eigenvalue Decomposition With Improved Stability for Rank-Structured Matrices ⋮ Gaussian quadrature for matrix valued functions on the real line ⋮ Orthogonal matrix polynomials and applications ⋮ Fast Computation of Spectral Projectors of Banded Matrices ⋮ Polynomial-Time Algorithms for Continuous Metrics on Atomic Clouds of Unordered Points ⋮ Hypergraph edge elimination -- a symbolic phase for Hermitian eigensolvers based on rank-1 modifications ⋮ An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths


Uses Software

  • EISPACK



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