یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index
یادداشتهای مربوط به مندرجات
متن يادداشت
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
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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, 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 book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can useful for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for petroleum engineers, mining engineers, chemists, mechanical engineers, ecologists, biomedical engineers, applied mathematicians, and others who perform mathematical modeling
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
MIL
شماره انبار
809648
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Mathematical models.
موضوع مستند نشده
Hydrogeology.
موضوع مستند نشده
Math. Applications in Chemistry.
موضوع مستند نشده
Mathematical Modeling and Industrial Mathematics.
موضوع مستند نشده
Mathematics.
مقوله موضوعی
موضوع مستند نشده
MAT003000
موضوع مستند نشده
PBWH
موضوع مستند نشده
SCI-- 064000
موضوع مستند نشده
TBJ
موضوع مستند نشده
TEC-- 029000
موضوع مستند نشده
TEC009060
رده بندی ديویی
شماره
003/
.
3
ويراست
23
رده بندی کنگره
شماره رده
QA401
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )