Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms, Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-
Автор: Marta Filizola Название: G Protein-Coupled Receptors - Modeling and Simulation ISBN: 9402402586 ISBN-13(EAN): 9789402402582 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: G protein-coupled receptors (GPCRs) are heptahelical transmembrane receptors that convert extra-cellular stimuli into intra-cellular signaling, and ultimately into biological responses.
Описание: However, the classical boundary integral equation formulations of this problem either have no solutions or do not have unique solutions at certain characteristic frequencies (which depend on the surface geometry) and it is necessary to employ modified boundary integral equation formulations which are valid for all frequencies.
Автор: Zoran Gajic; Djordjija Petkovski; Xuemin Shen Название: Singularly Perturbed and Weakly Coupled Linear Control Systems ISBN: 3540523332 ISBN-13(EAN): 9783540523338 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive view of current developments in the theory of recursive reduced-order methods for singularly perturbed and weakly coupled linear control systems.
Автор: Shaopu Yang; Liqun Chen; Shaohua Li Название: Dynamics of Vehicle-Road Coupled System ISBN: 3662459566 ISBN-13(EAN): 9783662459560 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicle dynamics and road dynamics are usually considered to be two largely independent subjects.
Автор: Martin Golubitsky; Dan Luss; Steven H. Strogatz Название: Pattern Formation in Continuous and Coupled Systems ISBN: 0387988742 ISBN-13(EAN): 9780387988740 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This IMA Volume in Mathematics and its Applications PATTERN FORMATION IN CONTINUOUS AND COUPLED SYSTEMS is based on the proceedings of a workshop with the same title, but goes be yond the proceedings by presenting a series of mini-review articles that sur vey, and provide an introduction to, interesting problems in the field.
Автор: Marta Filizola Название: G Protein-Coupled Receptors - Modeling and Simulation ISBN: 9400774222 ISBN-13(EAN): 9789400774223 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: G protein-coupled receptors (GPCRs) are heptahelical transmembrane receptors that convert extra-cellular stimuli into intra-cellular signaling, and ultimately into biological responses.
Автор: Shaopu Yang; Liqun Chen; Shaohua Li Название: Dynamics of Vehicle-Road Coupled System ISBN: 366252595X ISBN-13(EAN): 9783662525951 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicle dynamics and road dynamics are usually considered to be two largely independent subjects.
Описание: This book is devoted to the theory of coupled electro-magneto-thermo-elastic fields excited in different bodies by various sources, both static and dynamic.
Автор: Valentin Flunkert Название: Delay-Coupled Complex Systems ISBN: 364226896X ISBN-13(EAN): 9783642268960 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work addresses time-delay in complex nonlinear systems and its applications in complex networks as well as investigates its role in control theory and nonlinear optics. It offers fundamental insights into the interplay of delay and synchronization.
Автор: J.G. Taylor; C.L.T. Mannion Название: Coupled Oscillating Neurons ISBN: 3540197443 ISBN-13(EAN): 9783540197447 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains the proceedings of a day conference on coupled neuronal oscillators, an important aspect of neural network research, which looks at the physiological properties of neurons in terms of electrochemical features, using these to consider possible directions for future research.
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