Measurement Errors and Uncertainties, Semyon G. Rabinovich

Автор: S. V. Gupta
Название: Measurement Uncertainties
ISBN: 3642434126 ISBN-13(EAN): 9783642434129
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book shows how to evaluate measurement results, exploring probability distributions and their properties and uncertainty calculations for independent linear inputs, non-linear inputs and correlated inputs. The text includes many numerical examples.

Автор: Michael Grabe
Название: Measurement Uncertainties in Science and Technology
ISBN: 3319048872 ISBN-13(EAN): 9783319048871
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book recasts classical Gaussian error calculus from scratch. The new edition thoroughly restructures and systematizes the text and offers numerous numerical examples, showing how to understand uncertainties, to localize the true values of measured values.

Автор: Michael Grabe
Название: Measurement Uncertainties in Science and Technology
ISBN: 331933056X ISBN-13(EAN): 9783319330563
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book recasts classical Gaussian error calculus from scratch. The new edition thoroughly restructures and systematizes the text and offers numerous numerical examples, showing how to understand uncertainties, to localize the true values of measured values.

Автор: Manfred Drosg
Название: Dealing with Uncertainties
ISBN: 3642425402 ISBN-13(EAN): 9783642425400
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This innovative monograph lays special emphasis on the deductive approach to uncertainties and on the shape of uncertainty distributions. The approach used to understand the nature of uncertainties is novel in that it is completely decoupled from measurements.

Автор: Andreas Rauh; Ekaterina Auer
Название: Modeling, Design, and Simulation of Systems with Uncertainties
ISBN: 3642268560 ISBN-13(EAN): 9783642268564
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This three-fold contribution to the field covers both theory and current research in algorithmic approaches to uncertainty handling, real-life applications such as robotics and biomedical engineering, and fresh approaches to reliably implementing software.

Автор: N.V. Banichuk; Pekka Neittaanm?ki
Название: Structural Optimization with Uncertainties
ISBN: 9400731116 ISBN-13(EAN): 9789400731110
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This text details new ways to formulate problems of structural optimization with incomplete information and solution techniques. It is mostly devoted to the minimax approach using worst case scenario, but it also covers mixed probabilistic guaranteed approach.

Автор: Hughes, Ifan Hase, Thomas
Название: Measurements and their uncertainties
ISBN: 019956633X ISBN-13(EAN): 9780199566334
Издательство: Oxford Academ
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Цена: 4196.00 р.
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Описание: This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.

Автор: Mohamed Mansour; Silvano Balemi; Werner Tru?l
Название: Robustness of Dynamic Systems with Parameter Uncertainties
ISBN: 3034872704 ISBN-13(EAN): 9783034872706
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Robust Control is one of the fastest growing and promising areas of research today. However, this second workshop was restricted to robust control of dynamic systems with parameter uncertainties with the objective to concentrate on some aspects of robust control.

Автор: Mihir K. Chakraborty; Andrzej Skowron; Manoranjan
Название: Facets of Uncertainties and Applications
ISBN: 8132223004 ISBN-13(EAN): 9788132223009
Издательство: Springer
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Цена: 19564.00 р.
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Описание: It has been shown that several mathematical concepts such as the theory of fuzzy sets, theory of rough sets, evidence theory, possibility theory, theory of complex systems and complex network, theory of fuzzy measures and uncertainty theory can also successfully model uncertainty.

Автор: Ian R. Petersen; Andrey V. Savkin
Название: Robust Kalman Filtering for Signals and Systems with Large Uncertainties
ISBN: 1461272092 ISBN-13(EAN): 9781461272090
Издательство: Springer
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Цена: 13060.00 р.
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Описание: Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years.

Автор: R?mer
Название: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties
ISBN: 3319412930 ISBN-13(EAN): 9783319412931
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This book presents a comprehensive mathematical approach for solving stochastic magnetic field problems. It discusses variability in material properties and geometry, with an emphasis on the preservation of structural physical and mathematical properties. It especially addresses uncertainties in the computer simulation of magnetic fields originating from the manufacturing process. Uncertainties are quantified by approximating a stochastic reformulation of the governing partial differential equation, demonstrating how statistics of physical quantities of interest, such as Fourier harmonics in accelerator magnets, can be used to achieve robust designs. The book covers a number of key methods and results such as: a stochastic model of the geometry and material properties of magnetic devices based on measurement data; a detailed description of numerical algorithms based on sensitivities or on a higher-order collocation; an analysis of convergence and efficiency; and the application of the developed model and algorithms to uncertainty quantification in the complex magnet systems used in particle accelerators.