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256403fa1ecf6e733ba1 · Effective and Scalable Uncertainty Evaluation for Large-Scale Complex System Applications

Effective and Scalable Uncertainty Evaluation for Large-Scale Complex System Applications

Effective uncertainty evaluation is a critical step toward real-time and robust decision-making for complex systems in uncertain environments. A Multivariate Probabilistic Collocation Method (M-PCM) was developed to effectively evaluate system uncertainty

Официальный источник · 2014-12-07

Полные импортированные сведения карточки
{
  "title_en": "Effective and Scalable Uncertainty Evaluation for Large-Scale Complex System Applications",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2014-12-07",
  "date_original": "December 7, 2014",
  "url": "https://www.nist.gov/publications/effective-and-scalable-uncertainty-evaluation-large-scale-complex-system-applications",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Kevin L. Mills , James J. Filliben , Junfei Xie, Yan Wan, Yi Zhou, Yu Lei",
  "abstract_excerpt_en": "Effective uncertainty evaluation is a critical step toward real-time and robust decision-making for complex systems in uncertain environments. A Multivariate Probabilistic Collocation Method (M-PCM) was developed to effectively evaluate system uncertainty",
  "id": "256403fa1ecf6e733ba1",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Effective and Scalable Uncertainty Evaluation for Large-Scale Complex System Applications",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2014-12-07",
      "date_original": "December 7, 2014",
      "url": "https://www.nist.gov/publications/effective-and-scalable-uncertainty-evaluation-large-scale-complex-system-applications",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Kevin L. Mills , James J. Filliben , Junfei Xie, Yan Wan, Yi Zhou, Yu Lei",
      "abstract_excerpt_en": "Effective uncertainty evaluation is a critical step toward real-time and robust decision-making for complex systems in uncertain environments. A Multivariate Probabilistic Collocation Method (M-PCM) was developed to effectively evaluate system uncertainty"
    }
  ],
  "translation_state": "none"
}