Sensitivity And Uncertainty Analysis Volume Ii


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Sensitivity and Uncertainty Analysis, Volume II


Sensitivity and Uncertainty Analysis, Volume II

Author: Dan G. Cacuci

language: en

Publisher: CRC Press

Release Date: 2005-05-16


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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 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 & Uncertainty Analysis


Sensitivity & Uncertainty Analysis

Author: Dan G. Cacuci

language: en

Publisher: Chapman and Hall/CRC

Release Date: 2003-05-28


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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 indispensable investigative scientific tools in their own right. While most techniques used for these analyses are well documented, there has yet to appear a systematic treatment of the method based on adjoint operators, which is applicable to a much wider variety of problems than methods traditionally used in control theory. This book fills that gap, focusing on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP) and the use of deterministically obtained sensitivities for subsequent uncertainty analysis.

Sensitivity & Uncertainty Analysis, Volume 1


Sensitivity & Uncertainty Analysis, Volume 1

Author: Dan G. Cacuci

language: en

Publisher: CRC Press

Release Date: 2003-05-28


DOWNLOAD





As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable investigative scientific tools in their own right. While most techniques used for these analyses are well documented, there has yet to appear a systematic treatment of the method based