Model Calibration and Parameter Estimation For Environmental and Water Resource Systems /
This three-part book provides a comprehensive and systematic introduction to the development of useful models for complex systems. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hype...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2015.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- The Classical Inverse Problem
- The Gauss-Newton Method
- Multiobjective Inversion and Regularization
- Statistical Methods for Parameter Estimation
- Model Differentiation
- Model Dimension Reduction
- Development of Data-Driven Models
- Data Assimilation for Inversion
- Model Uncertainty Quantification
- Optimal Experimental Design
- Goal-Oriented Modeling.