On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory, Guignard Fabian

Автор: D`Elia Marta, Gunzburger Max, Rozza Gianluigi
Название: Quantification of Uncertainty: Improving Efficiency and Technology: Quiet Selected Contributions
ISBN: 3030487202 ISBN-13(EAN): 9783030487201
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs.

Автор: Mcclarren, Ryan G.
Название: Uncertainty quantification and predictive computational science
ISBN: 3319995243 ISBN-13(EAN): 9783319995243
Издательство: Springer
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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: Biegler
Название: Large-Scale Inverse Problems and Quantification of Uncertainty
ISBN: 0470697431 ISBN-13(EAN): 9780470697436
Издательство: Wiley
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Цена: 118220.00 T
Наличие на складе: Поставка под заказ.
Описание: This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems.

Автор: Mao Zhu
Название: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 38th Imac, a Conference and Exposition on Structural Dynamics 2020
ISBN: 3030487784 ISBN-13(EAN): 9783030487782
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Поставка под заказ.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.

Автор: Mao Zhu
Название: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 38th Imac, a Conference and Exposition on Structural Dynamics 2020
ISBN: 3030476375 ISBN-13(EAN): 9783030476373
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meet Lela - a clever little girl, who is also very stubborn! Despite being encouraged by her mum and dad to learn a new language Lela refuses. This leaves Lela in a pickle at an important party where she can`t understand anything the grown-ups are saying! So Lela vows to learn all of the languages of the world - which she does one word at a time...

Автор: D`Elia Marta, Gunzburger Max, Rozza Gianluigi
Название: Quantification of Uncertainty: Improving Efficiency and Technology: Quiet Selected Contributions
ISBN: 3030487237 ISBN-13(EAN): 9783030487232
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs.

Автор: Lei Yang; Miao He; Junshan Zhang; Vijay Vittal
Название: Spatio-Temporal Data Analytics for Wind Energy Integration
ISBN: 3319123181 ISBN-13(EAN): 9783319123189
Издательство: Springer
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Цена: 47880.00 T
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Описание: This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration.

Автор: Christine Parent; Stefano Spaccapietra; Esteban Zi
Название: Conceptual Modeling for Traditional and Spatio-Temporal Applications
ISBN: 3642067646 ISBN-13(EAN): 9783642067648
Издательство: Springer
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Цена: 121110.00 T
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Описание: From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapidly.

Автор: Han-Xiong Li; Chenkun Qi
Название: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
ISBN: 9401782547 ISBN-13(EAN): 9789401782548
Издательство: Springer
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Цена: 107130.00 T
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Описание: This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.