书目名称 | Model Calibration and Parameter Estimation | 副标题 | For Environmental an | 编辑 | Ne-Zheng Sun,Alexander Sun | 视频video | | 概述 | Various hydrological models are described and classified.Summarizes the state-of-the-art developments in this subject area that can bring the readers to the front of knowledge.Synthetic examples and r | 图书封面 |  | 描述 | This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this bo | 出版日期 | Book 2015 | 关键词 | Forward Problems; Inverse Problems; Mathematical Modeling; Model Calibration and Parameter Estimation; S | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4939-2323-6 | isbn_softcover | 978-1-4939-4092-9 | isbn_ebook | 978-1-4939-2323-6 | copyright | Springer Science+Business Media, LLC 2015 |
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