Автор: William W. Hager; Shu-Jen Huang; Panos Pardalos; O Название: Multiscale Optimization Methods and Applications ISBN: 1489991840 ISBN-13(EAN): 9781489991843 Издательство: Springer Рейтинг: Цена: 15427 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards the solution of original problem, using a solution from a previous level as a starting guess at the next level.
Описание: Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of materials and structures with better quality, strength and performance parameters. It describes micro and nano scale models along with case studies.
Автор: Panagiotis D. Christofides; Antonios Armaou; Yimin Название: Control and Optimization of Multiscale Process Systems ISBN: 0817647929 ISBN-13(EAN): 9780817647926 Издательство: Springer Рейтинг: Цена: 12233 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents general methods for feedback controller synthesis and optimization of multiscale systems, illustrating their application to thin-film growth, sputtering processes, and catalytic systems of industrial interest. This book demonstrates the advantages of the methods presented for control and optimization through various simulations.
Автор: Pavliotis Название: Multiscale Methods ISBN: 0387738282 ISBN-13(EAN): 9780387738284 Издательство: Springer Рейтинг: Цена: 6544 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is meant to be an introduction, aimed primarily towards graduate students. Part I of the book (theoretical foundations) and Part III of the book (proving theorems concerning simplified versions of the models that are studied in Part II) are necessarily terse and present the wide range of applications of the ideas, and illustrate their unity. The subject matter in these set of notes has, for the most part, been known for several decades. However, the particular presentation of the material here is particularly suited to the pedagogical goal of communicating the subject area to the wide range of mathematicians, scientists and engineers who are currently engaged in the use of these tools to tackle the enormous range of applications that require them.Extensions and generalizations of the results presented in these notes, as well as references to the literature, are given in the Discussion and Bibliography section, at the end of each chapter. With the exception of Chapter 1, all chapters are supplemented with exercises.
Описание: Explains the correlation of fatigue crack growth data to multiscale cracking. This title pays attention to the interpretation of test data by fatigue crack growth rate using two empirical parameters in consistent with the fracture control methodology used by industry.
Описание: This book elucidates the correlation of fatigue crack growth data to multiscale cracking, particularly to the understanding of micrographs influenced by mechanical disturbance and thermodynamic variables.
Описание: Computational biology and nanotechnology have become critical elements in particle interactions, especially in biological sciences, medicine, toxicology, and technology. This title provides an insight on particle interactions in areas of biological sciences, chemical engineering, medicine, and manufacturing technology.
Автор: Engquist Название: Multiscale Methods in Science and Engineering ISBN: 3540253351 ISBN-13(EAN): 9783540253358 Издательство: Springer Рейтинг: Цена: 11359 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multiscale problems naturally pose severe challenges for computational science and engineering. The smaller scales must be well resolved over the range of
the larger scales. Challenging multiscale problems are very common and are found in e.g.
materials science, fluid mechanics, electrical and mechanical engineering.
Homogenization, subgrid modelling, heterogeneous multiscale methods, multigrid, multipole, and adaptive algorithms are examples of methods t
tackle these problems. This volume is an overview of current mathematical and computational methods for problems with multiple scales with applications in chemistry, physics and
engineering.
Описание: The book is devoted to the achievements of two complementary multispacecraft missions – INTERBALL and CLUSTER II. The advantages of these powerful instruments for magnetospheric investigations are clearly shown together with problems that were or should be overcome in the mission management and data processing and interpretation.The main goal of both missions is the investigation of coupling among different magnetospheric regions and, consequently, the core of the book deals with this topic. Nevertheless, various coupling processes are influenced by upstream conditions or triggered by solar wind or interplanetary magnetic field disturbances. The book also stresses the importance of the solar wind input on magnetospheric processes.The Editors of the book hope that it will be useful for scientists involved in Solar – Terrestrial relations or Space Weather programs as well as for students of space or plasma physics. The book surveys of present knowledge and puts it into context of the latest results of aforementioned missions. Since the book treats not only achievements but the problems of multispacecraft observations as well, it can serve as a tool for the planning of further missions.
Автор: Jeulin Dominique, Ostoja-Starzewski Martin Название: Mechanics of Random and Multiscale Microstructures ISBN: 3211836845 ISBN-13(EAN): 9783211836842 Издательство: Springer Рейтинг: Цена: 13557 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews recent theoretical, computational and experimental developments in mechanics of random and multiscale solid materials. The aim is to provide tools for better understanding and prediction of the effects of stochastic (non-periodic) microstructures on materials’ mesoscopic and macroscopic properties. Particular topics involve a review of experimental techniques for the microstructure description, a survey of key methods of probability theory applied to the description and representation of microstructures by random modes, static and dynamic elasticity and non-linear problems in random media via variational principles, stochastic wave propagation, Monte Carlo simulation of random continuous and discrete media, fracture statistics models, and computational micromechanics.
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