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df12a0694e77477100a8 · Fast Sequential Importance Sampling to Estimate the Graph Reliability Polynomial

Fast Sequential Importance Sampling to Estimate the Graph Reliability Polynomial

The reliability polynomial of a graph measures the number of its connected subgraphs of various sizes. Algortihms based on sequential importance sampling (SIS) have been proposed to estimate a graph's reliahbility polynomial. We develop an improved SIS

Официальный источник · 2012-11-08

Полные импортированные сведения карточки
{
  "title_en": "Fast Sequential Importance Sampling to Estimate the Graph Reliability Polynomial",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2012-11-08",
  "date_original": "November 8, 2012",
  "url": "https://www.nist.gov/publications/fast-sequential-importance-sampling-estimate-graph-reliability-polynomial",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "David G. Harris, Francis Sullivan, Isabel M. Beichl",
  "abstract_excerpt_en": "The reliability polynomial of a graph measures the number of its connected subgraphs of various sizes. Algortihms based on sequential importance sampling (SIS) have been proposed to estimate a graph's reliahbility polynomial. We develop an improved SIS",
  "id": "df12a0694e77477100a8",
  "sources": [
    "NIST Publications"
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  "source_records": [
    {
      "title_en": "Fast Sequential Importance Sampling to Estimate the Graph Reliability Polynomial",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2012-11-08",
      "date_original": "November 8, 2012",
      "url": "https://www.nist.gov/publications/fast-sequential-importance-sampling-estimate-graph-reliability-polynomial",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "David G. Harris, Francis Sullivan, Isabel M. Beichl",
      "abstract_excerpt_en": "The reliability polynomial of a graph measures the number of its connected subgraphs of various sizes. Algortihms based on sequential importance sampling (SIS) have been proposed to estimate a graph's reliahbility polynomial. We develop an improved SIS"
    }
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