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Modeling Cellular Systems, Frederik Graw; Franziska Matth?us; J?rgen Pahle


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Автор: Frederik Graw; Franziska Matth?us; J?rgen Pahle
Название:  Modeling Cellular Systems
ISBN: 9783319458311
Издательство: Springer
Классификация:





ISBN-10: 3319458310
Обложка/Формат: Hardcover
Страницы: 161
Вес: 0.43 кг.
Дата издания: 09.05.2017
Серия: Contributions in Mathematical and Computational Sciences
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 29 illustrations, color; 6 illustrations, black and white; xi, 161 p. 35 illus., 29 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This contributed volume comprises research articles and reviews on topics connected to the mathematical modeling of cellular systems. All authors attended the workshop on Modeling Cellular Systems which took place in Heidelberg in October 2014.


Mathematical Modeling of Biological Systems, Volume I Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis

Автор: Deutsch, A.; Brusch, L.; Byrne, H.; de Vries, G.; Herzel, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume I Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis
ISBN: 0817645578 ISBN-13(EAN): 9780817645571
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential for solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modeling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted, and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computation and visualisation, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact indisputable.

Modeling and Control in Air-conditioning Systems

Автор: Ye Yao
Название: Modeling and Control in Air-conditioning Systems
ISBN: 3662533111 ISBN-13(EAN): 9783662533116
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory.Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.

Analytical Modeling of Heterogeneous Cellular Networks

Автор: Mukherjee
Название: Analytical Modeling of Heterogeneous Cellular Networks
ISBN: 1107050944 ISBN-13(EAN): 9781107050945
Издательство: Cambridge Academ
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Цена: 8710.00 р.
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Описание: This comprehensive, self-contained introduction to the use of stochastic geometry techniques for studying the behaviour of heterogeneous cellular networks presents a range of analytic results and approaches, including the mathematical tools and techniques used to derive these results. A valuable reference for industry practitioners, graduate students and researchers.

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

Автор: David Holcman
Название: Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
ISBN: 3319626264 ISBN-13(EAN): 9783319626260
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Part I: Stochastic Chemical Reactions.- Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability.- Importance Sampling for Metastable and Multiscale Dynamical Systems.- Multiscale Simulation of Stochastic Reaction-diffusion Networks.- Part II: Stochastic Numerical Approaches, Algorithms and Coarse-Grained Simulations.- Numerical Methods for Ergodic SDEs: When Stochastic Integration Meets Geometric Integration.- Stability and Strong Convergence for Spatial Stochastic Kinetics.- The T cells in an Ageing Virtual Mouse.- Part III: Analysis of Stochastic Dynamical Systems for Modeling Cell Biology.- Model reduction for Stochastic Reaction Systems.- ZI-closure Scheme: A Method to Solve and Study Stochastic Reaction Networks.- Deterministic and Stochastic Becker-Dцring Equations: Past and Recent Mathematical Developments.- Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis and Applications to Telomere Clustering and Viral Capsid Assembly.- A Review of Stochastic and Delay Simulation Approaches in both Time and Space in Computational Cell Biology.- Part IV: Diffusion Processes and Stochastic Modeling.- Recent Mathematical Models of Axonal Transport.- Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing.- Modeling and Stochastic Analysis of the Single Photon Response.- A Phenomenological Spatial Model for Macro-ecological Patterns in Species-rich Ecosystems.


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