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Mathematical Approaches to Biological Systems, Toru Ohira; Tohru Uzawa


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Автор: Toru Ohira; Tohru Uzawa
Название:  Mathematical Approaches to Biological Systems
ISBN: 9784431554431
Издательство: Springer
Классификация:



ISBN-10: 4431554432
Обложка/Формат: Hardcover
Страницы: 166
Вес: 0.43 кг.
Дата издания: 31.03.2015
Язык: English
Издание: 2015 ed.
Иллюстрации: 3 tables, black and white; 29 illustrations, color; 38 illustrations, black and white; ix, 166 p. 67 illus., 29 illus. in color.
Размер: 234 x 156 x 11
Читательская аудитория: General (us: trade)
Основная тема: Computer Appl. in Life Sciences
Подзаголовок: Networks, Oscillations, and Collective Motions
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the most recent mathematical approaches to the growing research area of networks, oscillations, and collective motions in the context of biological systems. Bringing together the results of multiple studies of different biological systems, this book sheds light on the relations among these research themes. Included in this book are the following topics: feedback systems with time delay and threshold of sensing (dead zone), robustness of biological networks from the point of view of dynamical systems, the hardware-oriented neuron modeling approach, a universal mechanism governing the entrainment limit under weak forcing, the robustness mechanism of open complex systems, situation-dependent switching of the cues primarily relied on by foraging ants, and group chase and escape. Research on different biological systems is presented together, not separated by specializations or by model systems. Therefore, the book provides diverse perspectives at the forefront of current mathematical research on biological systems, especially focused on networks, oscillations, and collective motions. This work is aimed at advanced undergraduate, graduate, and postdoctoral students, as well as scientists and engineers. It will also be of great use for professionals in industries and service sectors owing to the applicability of topics such as networks and synchronizations.
Дополнительное описание: 1 Human Balance Control: Dead Zones, Intermittency, and Micro-Chaos (John Milton, Tamas Insperger, and Gabor Stepan).- 2 Dynamical Robustness of Complex Biological Networks (Gouhei Tanaka, Kai Morino, and Kazuyuki Aihara).- 3 Hardware-Oriented Neuron Mode



Algorithms in Bioinformatics

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Mathematical Methods and Models in Economic Planning, Management and Budgeting

Автор: Galimkair Mutanov
Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting
ISBN: 3662451417 ISBN-13(EAN): 9783662451410
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.

Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

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.

Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods

Автор: Deutsch, A.; Bravo de la Parra, R.; de Boer, R.J.; Diekmann, O.; Jagers, P.; Kisdi, E.; Kretzschmar, M.; Lansky, P.; Metz, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods
ISBN: 0817645551 ISBN-13(EAN): 9780817645557
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Presents a broad range of topics in the field of mathematical modeling in the biological sciences. This work examines the central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.


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