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.
Описание: 22 papers on control of nonlinear partial differential equations highlight the area from a broad variety of viewpoints. A significant part of the volume is devoted to applications in engineering, continuum mechanics and population biology.
Автор: Wolfgang Desch; Franz Kappel; Karl Kunisch Название: Control and Estimation of Distributed Parameter Systems ISBN: 303489399X ISBN-13(EAN): 9783034893992 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Consisting of 16 refereed original contributions, this volume presents a diversified collection of recent results in control of distributed parameter systems. Topics addressed include - optimal control in fluid mechanics - numerical methods for optimal control of partial differential equations - modeling and control of shells - level set methods - mesh adaptation for parameter estimation problems - shape optimization Advanced graduate students and researchers will find the book an excellent guide to the forefront of control and estimation of distributed parameter systems.
Автор: Xunjing Li; Jiongmin Yong Название: Control Theory of Distributed Parameter Systems and Applications ISBN: 3540538941 ISBN-13(EAN): 9783540538943 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Papers presented cover a wide variety of topics, e.g. the theory of identification, optimal control, stabilization, controllability, stochastic control as well as applications in heat exchangers, elastic structures and nuclear reactor meteorology.
Автор: Jaya P. N. Bishwal Название: Parameter Estimation in Stochastic Differential Equations ISBN: 3540744479 ISBN-13(EAN): 9783540744474 Издательство: Springer Рейтинг: Цена: 6282.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the estimation of the unknown parameters in the corresponding continuous models based on continuous and discrete observations and examines extensively maximum likelihood, minimum contrast and Bayesian methods.
Автор: Hans Georg Bock; Thomas Carraro; Willi J?ger; Stef Название: Model Based Parameter Estimation ISBN: 3642440762 ISBN-13(EAN): 9783642440762 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book features papers from a workshop on parameter estimation held in 2009 in Heidelberg. It combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts.
Автор: Cohen, Название: Parameter Estimation in Reliability and Life Span Models ISBN: 036740334X ISBN-13(EAN): 9780367403348 Издательство: Taylor&Francis Рейтинг: Цена: 6736.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily.
Автор: Christopher C. Heyde Название: Quasi-Likelihood And Its Application ISBN: 1475771045 ISBN-13(EAN): 9781475771046 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool.
Автор: Wesam Ashour Barbakh; Ying Wu; Colin Fyfe Название: Non-Standard Parameter Adaptation for Exploratory Data Analysis ISBN: 3642040047 ISBN-13(EAN): 9783642040047 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.
Автор: Jacek Banasiak; Miros?aw Lachowicz Название: Methods of Small Parameter in Mathematical Biology ISBN: 3319381830 ISBN-13(EAN): 9783319381831 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The chapters are arranged according to the mathematical complexity of the analysis, from systems of ordinary linear differential equations, through nonlinear ordinary differential equations, to linear and nonlinear partial differential equations.
Автор: Ne-Zheng Sun; Alexander Sun Название: Model Calibration and Parameter Estimation ISBN: 1493923226 ISBN-13(EAN): 9781493923229 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design.
Автор: Jacek Banasiak; Miros?aw Lachowicz Название: Methods of Small Parameter in Mathematical Biology ISBN: 3319051393 ISBN-13(EAN): 9783319051390 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The chapters are arranged according to the mathematical complexity of the analysis, from systems of ordinary linear differential equations, through nonlinear ordinary differential equations, to linear and nonlinear partial differential equations.
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