The Software Scene in the Extraction of Eigenvalues from Sparse Matrices,

Abstract

The eigenvalue problem for large, sparse matrices is not yet understood well enough, in all its computational ramifications, to permit the rapid deployment of impeccable software to the masses in the style set by EISPACK. Indeed it is doubtful that the public is impatient for the arrival of this facility. Those with an urgent need for such software prize efficiency above generality. They have developed their own programs independently of the numerical analysts and will continue to do so unless the matrix experts go to them and demonstrate that they can be useful. The wide variety of computing environments is going to play havoc with naieve concepts of portability. Transmission of thought is one of the two basic themes of science. The interesting and difficult task is to find the appropriate level at which to transmit. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1983
Accession Number
ADA127972

Entities

People

  • Beresford N. Parlett

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Chemistry
  • Computations
  • Computers
  • Differential Equations
  • Efficiency
  • Eigenvalues
  • Eigenvectors
  • Engineering
  • Engineers
  • Equations
  • Iterations
  • Mathematical Programming
  • Mathematics
  • Numerical Analysis
  • Operating Systems

Readers

  • Computational Linguistics
  • Linear Algebra
  • Military History of the United States in the 20th Century.