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  • In the paper, an efficient and reliable algorithm for solving the circuit nonlinear algebraic-differential equations based on a sophisticated arrangement of Newton interpolation polynomial is characterized first. After that, a novel method is introduced for improving the convergence with four suggested criteria that are being compared. For enhancing the efficiency of repeated solutions of linear systems necessary in the Newton-Raphson method, a novel modification of the Markowitz criterion is suggested, which is compatible with the fast modes of the LU factorization. The modified criterion consists in an estimation of probabilities of the fill-in enlargement. The probabilities are determined for all columns of the system matrix before the LU factorization, where the column probability is calculated as the average value of the probabilities for all the column elements. Finally, the columns are reordered so that first and last should be those with the minimum and maximum probabilities.
  • In the paper, an efficient and reliable algorithm for solving the circuit nonlinear algebraic-differential equations based on a sophisticated arrangement of Newton interpolation polynomial is characterized first. After that, a novel method is introduced for improving the convergence with four suggested criteria that are being compared. For enhancing the efficiency of repeated solutions of linear systems necessary in the Newton-Raphson method, a novel modification of the Markowitz criterion is suggested, which is compatible with the fast modes of the LU factorization. The modified criterion consists in an estimation of probabilities of the fill-in enlargement. The probabilities are determined for all columns of the system matrix before the LU factorization, where the column probability is calculated as the average value of the probabilities for all the column elements. Finally, the columns are reordered so that first and last should be those with the minimum and maximum probabilities. (en)
Title
  • A more efficient arrangement of the sparse LU factorization for the large-scale circuit analysis
  • A more efficient arrangement of the sparse LU factorization for the large-scale circuit analysis (en)
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  • A more efficient arrangement of the sparse LU factorization for the large-scale circuit analysis
  • A more efficient arrangement of the sparse LU factorization for the large-scale circuit analysis (en)
skos:notation
  • RIV/68407700:21230/11:00184428!RIV12-MSM-21230___
http://linked.open...avai/predkladatel
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  • P(GAP102/10/1614), S, Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 183906
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  • RIV/68407700:21230/11:00184428
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  • Algorithm design and analysis; Finite wordlength effects; Interpolation; Polynomials; Transient analysis; Vectors (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [255211E6171F]
http://linked.open...v/mistoKonaniAkce
  • Kowloon, Hong Kong
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • 2011 IEEE/IFIP 19th International Conference on VLSI and System-on-Chip
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dobeš, Josef
  • Yadav, Abhimanyu
  • Černý, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/VLSISoC.2011.6081619
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  • IEEE
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  • 978-1-4577-0170-2
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  • 21230
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