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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced;

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Uncertainty Quantification in Multiscale Materials Modeling

) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ;

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Sensitivity and Uncertainty Analysis, Volume II

As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses;

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Sensitivity Analysis In Earth Observatio

Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new;

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Sensitivity & Uncertainty Analysis, Volume 1

As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses;

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Predictive Modeling of Drug Sensitivity

and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational;

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Computational Methods For Reliability And Risk Analysis

of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or;

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High-order Adjoint Sensitivity Analysis Methodology for Large-scale Nonlinear Systems

published by CRC Press. This breakthrough has many applications in sensitivity and uncertainty analysis, optimization, data assimilation, model;

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Computational Intelligence in Archaeology

archaeology creates an exhaustive analysis of technical and analytical needs in the archaeological sciences. Computational Intelligence;

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Computational Science ICCS 2021

; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis;

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Essential Computational Modeling for the Human Body

Analysis: Computational Modeling for the Human Body Vol. 12 (2005). Computational (Mathematical) Modeling is used by scientists and;

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Financial Decision Making Using Computational Intelligence

modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques;

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The Science and Management of Uncertainty

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy;

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The Science and Management of Uncertainty

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy;

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Aerospace System Analysis and Optimization in Uncertainty

modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range;

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Aerospace System Analysis and Optimization in Uncertainty

modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range;

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Surrogates

uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design/active learning and (blackbox;

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Surrogates

modeling. Applications to uncertainty quantification, sensitivity analysis, calibration of computer models to field data, sequential design/active;

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Uncertainty Quantification and Predictive Computational Science

, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources;

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High Accuracy Surface Modeling Method

the sensitivity and uncertainty is important in model applications. The book aims to advance an integral framework for assessing model error;

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High Accuracy Surface Modeling Method

the sensitivity and uncertainty is important in model applications. The book aims to advance an integral framework for assessing model error;

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Computational Science ICCS 2021

; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis;

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Uncertainty Modeling and Analysis in Civil Engineering

) in their decisions at all levels. Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state;

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Sub-structure Coupling for Dynamic Analysis

in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design;

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Sub-structure Coupling for Dynamic Analysis

in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design;

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Uncertainty Quantification

, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data;

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Reviews in Computational Chemistry, Volume 31

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert;

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