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Uncertainty Quantification and Stochastic Modelling with Excel, Souza De Cursi Eduardo


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Цена: 111790.00T
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Автор: Souza De Cursi Eduardo
Название:  Uncertainty Quantification and Stochastic Modelling with Excel
ISBN: 9783030777562
Издательство: Springer
Классификация:






ISBN-10: 3030777561
Обложка/Формат: Hardcover
Страницы: 692
Вес: 1.15 кг.
Дата издания: 07.10.2021
Серия: Springer texts in business and economics
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 600 illustrations, color; 165 illustrations, black and white; xi, 531 p. 765 illus., 600 illus. in color.
Размер: 25.40 x 17.78 x 3.02 cm
Читательская аудитория: Professional & vocational
Подзаголовок: International and domestic perspectives on defendants and detainees with mental illness / perspectives internationales et nationales sur les prevenus et les detenus atteints de maladie mentale
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

Spectral Methods for Uncertainty Quantification

Автор: Olivier Le Maitre; Omar M Knio
Название: Spectral Methods for Uncertainty Quantification
ISBN: 9400731922 ISBN-13(EAN): 9789400731929
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents applications of spectral methods to problems of uncertainty propagation and quantification in model-based computations, focusing on the computational and algorithmic features of these methods most useful in dealing with models based on partial differential equations, in particular models arising in simulations of fluid flows.

Introduction to uncertainty quantification

Автор: Sullivan, T.j.
Название: Introduction to uncertainty quantification
ISBN: 3319794787 ISBN-13(EAN): 9783319794785
Издательство: Springer
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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.

Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications: Proceedings of the 2020 Uqop International Conf

Автор: Vasile Massimiliano, Quagliarella Domenico
Название: Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications: Proceedings of the 2020 Uqop International Conf
ISBN: 3030805417 ISBN-13(EAN): 9783030805418
Издательство: Springer
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Цена: 232910.00 T
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Описание: The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification.

Uncertainty quantification and predictive computational science

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.

Handbook of Uncertainty Quantification

Автор: Roger Ghanem; David Higdon; Houman Owhadi
Название: Handbook of Uncertainty Quantification
ISBN: 3319123858 ISBN-13(EAN): 9783319123851
Издательство: Springer
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Цена: 1211200.00 T
Наличие на складе: Нет в наличии.

Introduction to Uncertainty Quantification

Автор: Sullivan, T.J.
Название: Introduction to Uncertainty Quantification
ISBN: 3319233947 ISBN-13(EAN): 9783319233949
Издательство: Springer
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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. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study. Uncertainty quantification is a topic of increasing practical importance at the intersection of applied mathematics, statistics, computation and numerous application areas in science and engineering. This text is designed as an introduction to UQ for senior undergraduate and graduate students with a mathematical or statistical background and also for researchers from the mathematical sciences or from applications areas who are interested in the field.

Uncertainty Quantification: Advances in Research and Applications

Автор: Luis Chase
Название: Uncertainty Quantification: Advances in Research and Applications
ISBN: 1536148628 ISBN-13(EAN): 9781536148626
Издательство: Nova Science
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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.

Uncertainty Quantification In Varia

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.

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering

Автор: Soize Christian
Название: Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering
ISBN: 3319853724 ISBN-13(EAN): 9783319853727
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Accelerated Course with Applications in Computational Sciences and Engineering

Optimal Quantification and Symmetry

Автор: Nishisato Shizuhiko
Название: Optimal Quantification and Symmetry
ISBN: 981169169X ISBN-13(EAN): 9789811691690
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book offers a unique new look at the familiar quantification theory from the point of view of mathematical symmetry and spatial symmetry.

Modern Quantification Theory: Joint Graphical Display, Biplots, and Alternatives

Автор: Nishisato Shizuhiko, Beh Eric J., Lombardo Rosaria
Название: Modern Quantification Theory: Joint Graphical Display, Biplots, and Alternatives
ISBN: 9811624690 ISBN-13(EAN): 9789811624698
Издательство: Springer
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis.

Modern Risk Quantification in Complex Projects: Non-Linear Monte Carlo and System Dynamics Methodologies

Автор: Raydugin Yuri G.
Название: Modern Risk Quantification in Complex Projects: Non-Linear Monte Carlo and System Dynamics Methodologies
ISBN: 0198844336 ISBN-13(EAN): 9780198844334
Издательство: Oxford Academ
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Цена: 189290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers a general participation assessment across five levels of participation and cooperation and the specific behaviours that make up these five levels. The manual details instructions on how to administer the Social Profile, describes how the assessment was developed, and summarized research to support its use. Also included are 14 case studies that illustrate how the Social Profile can be used.


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