Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling, De Cursi
Автор: de Cursi Josй Eduardo Souza Название: Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2020 ISBN: 3030536688 ISBN-13(EAN): 9783030536688 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Modeling and Tools.- Stick-slip oscillations in a stochastic multiphysics system.- Coupled lateral-torsional drill-string with uncertainties.- Processes.- Uncertainty quantification in subsea lifting operations.- Data Analysis and Identification.- Uncertainty Quantification in risk modeling: the case of customs supply chain.- Uncertainty analysis and estimation.- Uncertainty propagation in wind turbine blade load actions.- Optimization.- Uncertainty Quantification of Pareto Fronts.- Author Index.
Автор: Roger Ghanem; David Higdon; Houman Owhadi Название: Handbook of Uncertainty Quantification ISBN: 3319123858 ISBN-13(EAN): 9783319123851 Издательство: Springer Рейтинг: Цена: 1211200.00 T Наличие на складе: Нет в наличии.
Автор: Chen Название: Stochastic Methods for Modeling and Predicting Complex Dynamical Systems ISBN: 3031222482 ISBN-13(EAN): 9783031222481 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Нет в наличии. Описание: This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational science, and data science. In addition, the author discusses how to choose and apply suitable mathematical tools to several disciplines including pure and applied mathematics, physics, engineering, neural science, material science, climate and atmosphere, ocean science, and many others. Readers will not only learn detailed techniques for stochastic modeling and prediction, but will develop their intuition as well. Important topics in modeling and prediction including extreme events, high-dimensional systems, and multiscale features are discussed.
Автор: de Cursi Josй Eduardo Souza Название: Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2020 ISBN: 3030536718 ISBN-13(EAN): 9783030536718 Издательство: Springer Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Modeling and Tools.- Stick-slip oscillations in a stochastic multiphysics system.- Coupled lateral-torsional drill-string with uncertainties.- Processes.- Uncertainty quantification in subsea lifting operations.- Data Analysis and Identification.- Uncertainty Quantification in risk modeling: the case of customs supply chain.- Uncertainty analysis and estimation.- Uncertainty propagation in wind turbine blade load actions.- Optimization.- Uncertainty Quantification of Pareto Fronts.- Author Index.
Автор: Souza De Cursi Eduardo Название: Uncertainty Quantification and Stochastic Modelling with Excel ISBN: 3030777561 ISBN-13(EAN): 9783030777562 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool.
Автор: Sullivan, T.j. Название: Introduction to uncertainty quantification ISBN: 3319794787 ISBN-13(EAN): 9783319794785 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved.
Автор: Luis Chase Название: Uncertainty Quantification: Advances in Research and Applications ISBN: 1536148628 ISBN-13(EAN): 9781536148626 Издательство: Nova Science Рейтинг: Цена: 77080.00 T Наличие на складе: Невозможна поставка. Описание: In recent times, polynomial chaos expansion has emerged as a dominant technique to determine the response uncertainties of a system by propagating the uncertainties of the inputs. In this regard, the opening chapter of Uncertainty Quantification: Advances in Research and Applications, an intrusive approach called Galerkin Projection as well as non-intrusive approaches (such as pseudo-spectral projection and linear regression) are discussed.Next, the authors introduce a new methodology to determine the uncertainties of input parameters using CIRCE software to overcome the reliance on expert judgment. The goal is to determinate and evaluate the uncertainty bounds for physical models related to reflood model of MARS-KS code Vessel module (coupled with COBRA-TF) using both CIRCE and the experimental data of FEBA.Lastly, uncertainties related to rheological model parameters of skeletal muscles are modeled and analyzed, and available data are acquired and fused for hyperelastic constitutive model parameters with Neo-Hookean and Mooney-Rivlin formulations.
Автор: Mcclarren, Ryan G. Название: Uncertainty quantification and predictive computational science ISBN: 3319995243 ISBN-13(EAN): 9783319995243 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties.
Автор: Jadamba Название: Uncertainty Quantification In Varia ISBN: 1138626325 ISBN-13(EAN): 9781138626324 Издательство: Taylor&Francis Рейтинг: Цена: 112290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields.
Автор: T. Simmermacher; Scott Cogan; L.G. Horta; R. Barth Название: Topics in Model Validation and Uncertainty Quantification, Volume 4 ISBN: 1489998667 ISBN-13(EAN): 9781489998668 Издательство: Springer Рейтинг: Цена: 174130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Topics in Model Validation and Uncertainty Quantification, Volume 4, Proceedings of the 30th IMAC, A Conference and Exposition on Structural Dynamics, 2012, the fourth volume of six from the Conference, brings together 19 contributions to this important area of research and engineering.
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