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Sensitivity and Uncertainty Analysis, Volume II

Download or Read eBook Sensitivity and Uncertainty Analysis, Volume II PDF written by Dan G. Cacuci and published by CRC Press. This book was released on 2005-05-16 with total page 367 pages. Available in PDF, EPUB and Kindle.
Sensitivity and Uncertainty Analysis, Volume II
Author :
Publisher : CRC Press
Total Pages : 367
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ISBN-10 : 9780203483572
ISBN-13 : 020348357X
Rating : 4/5 (72 Downloads)

Book Synopsis Sensitivity and Uncertainty Analysis, Volume II by : Dan G. Cacuci

Book excerpt: As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable scientific tools. Sensitivity and Uncertainty Analysis. Volume I: Theory focused on the mathematical underpinnings of two important methods for such analyses: the Adjoint Sensitivity Analysis Procedure and the Global Adjoint Sensitivity Analysis Procedure. This volume concentrates on the practical aspects of performing these analyses for large-scale systems. The applications addressed include two-phase flow problems, a radiative convective model for climate simulations, and large-scale models for numerical weather prediction.


Sensitivity and Uncertainty Analysis, Volume II Related Books

Sensitivity and Uncertainty Analysis, Volume II
Language: en
Pages: 367
Authors: Dan G. Cacuci
Categories: Mathematics
Type: BOOK - Published: 2005-05-16 - Publisher: CRC Press

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As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispen
Sensitivity & Uncertainty Analysis
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As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispen
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The Second-Order Adjoint Sensitivity Analysis Methodology generalizes the First-Order Theory presented in the author’s previous books published by CRC Press.
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This text describes a comprehensive adjoint sensitivity analysis methodology (nth-CASAM), developed by the author, which enablesthe efficient and exact computat
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