Mathematical Models in Population Biology and Epidemiology, Fred Brauer; Carlos Castillo-Chavez
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Brauer Fred Название: Mathematical models in population biology and epidemiology ISBN: 1489993983 ISBN-13(EAN): 9781489993984 Издательство: Springer Рейтинг: Цена: 6358.00 р. 9083.00-30% Наличие на складе: Есть (1 шт.) Описание: This book balances theory and application in the use of mathemathical models for addressing questions in epidemiology and population studies. This latest revised edition makes extensive use of both examples and exercise problems throughout the text.
Название: Mathematical models in biology ISBN: 331923496X ISBN-13(EAN): 9783319234960 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book.
Автор: Martin A Hjortso Название: Linear Mathematical Models In Chemical Engineering ISBN: 9812794158 ISBN-13(EAN): 9789812794154 Издательство: World Scientific Publishing Рейтинг: Цена: 16790.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reviews, introduces, and develops the mathematics that is encountered in sophisticated chemical engineering models. This book provides coverage of chemical engineering model formulation and analysis. It serves as an introduction to linear mathematics for engineering students.
Описание: This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations. The book is divided into three distinct parts: dynamics of genomes and genetic variation, dynamics of motifs, and dynamics of biological networks. Chapters included in dynamics of genomes and genetic variation analyze the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and those that govern genome dynamics. The dynamics of motifs portion of the volume provides an overview of current methods for motif searching in DNA, RNA and proteins, a key process to discover emergent properties of cells, tissues, and organisms. The part devoted to the dynamics of biological networks covers networks aptly discusses networks in complex biological functions and activities that interpret processes in cells. Moreover, chapters in this section examine several mathematical models and algorithms available for integration, analysis, and characterization. Once life scientists began to produce experimental data at an unprecedented pace, it become clear that mathematical models were necessary to interpret data, to structure information with the aim to unveil biological mechanisms, discover results, and make predictions. The second annual “Bringing Maths to Life” workshop held in Naples, Italy October 2015, enabled a bi-directional flow of ideas from and international group of mathematicians and biologists. The venue allowed mathematicians to introduce novel algorithms, methods, and software that may be useful to model aspects of life science, and life scientists posed new challenges for mathematicians.
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.
Описание: Underlying virtually all of these studies are models of population growth, from individual cells to large vertebrates. In Part I of this volume, Michael Shuler describes computer models of individual cells and cell populations, and Frank Hoppensteadt discusses the synchronization of bacterial culture growth.
Автор: Mimmo Iannelli; Andrea Pugliese Название: An Introduction to Mathematical Population Dynamics ISBN: 3319030256 ISBN-13(EAN): 9783319030258 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an introduction to mathematical biology for students with no experience in biology, but who have some mathematical background.
Автор: Carmen Molina-Par?s; Grant Lythe Название: Mathematical Models and Immune Cell Biology ISBN: 1493901230 ISBN-13(EAN): 9781493901234 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains chapters on mathematical modeling, on immunology, and on mathematical modeling in immunology. The reader will also find chapters on dendritic cells, B cells and germinal centers.
Автор: James C. Frauenthal Название: Mathematical Modeling in Epidemiology ISBN: 3540103287 ISBN-13(EAN): 9783540103288 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The text of this book is derived from courses taught by the author in the Department of Applied Mathematics and Statistics at the State University of New York at Stony Brook. The audience for these courses was composed almost entirely of fourth year undergraduate students majoring in the mathematical sciences.
Автор: Warren J. Ewens Название: Mathematical Population Genetics 1 ISBN: 1441918981 ISBN-13(EAN): 9781441918987 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory.
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