Mathematical Fluid Dynamics, Present and Future, Yoshihiro Shibata; Yukihito Suzuki
Автор: S. Friedlander Название: Handbook of Mathematical Fluid Dynamics,3 ISBN: 0444515569 ISBN-13(EAN): 9780444515568 Издательство: Elsevier Science Рейтинг: Цена: 35371.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume begins with the fundamental and challenging issues of how and why a discrete system of a huge number of particles can be replaced by a fluid continuum, with the remainder of the articles concentrating on the Navier-Stokes equations for viscous fluids.
Автор: FRIEDLANDER Название: HANDBOOK OF MATHEMATICAL FLUID DYNAMICS VOLUME 2 ISBN: 044451287X ISBN-13(EAN): 9780444512871 Издательство: Elsevier Science Рейтинг: Цена: 28739.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The articles that comprise this volume address a range of topics that concern mathematical fluid dynamics including: the Boltzman equation, collisional kinetic theory, viscous heat conducting compressible fluids and dynamic flows in liquids and vapours.
Автор: S. Friedlander Название: Handbook of Mathematical Fluid Dynamics,1 ISBN: 0444503307 ISBN-13(EAN): 9780444503305 Издательство: Elsevier Science Рейтинг: Цена: 36213.00 р. Наличие на складе: Поставка под заказ.
Описание: The articles that comprise this volume address a range of topics that concern mathematical fluid dynamics including: the Boltzman equation, collisional kinetic theory, viscous heat conducting compressible fluids and dynamic flows in liquids and vapours.
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.
Автор: Michael Mackey; Mois?s Santill?n; Marta Tyran-Kami Название: Simple Mathematical Models of Gene Regulatory Dynamics ISBN: 3319453173 ISBN-13(EAN): 9783319453170 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a short and self-contained introduction to the field of mathematical modeling of gene-networks in bacteria. As an entry point to the field, we focus on the analysis of simple gene-network dynamics. The notes commence with an introduction to the deterministic modeling of gene-networks, with extensive reference to applicable results coming from dynamical systems theory. The second part of the notes treats extensively several approaches to the study of gene-network dynamics in the presence of noise—either arising from low numbers of molecules involved, or due to noise external to the regulatory process. The third and final part of the notes gives a detailed treatment of three well studied and concrete examples of gene-network dynamics by considering the lactose operon, the tryptophan operon, and the lysis-lysogeny switch. The notes contain an index for easy location of particular topics as well as an extensive bibliography of the current literature. The target audience of these notes are mainly graduates students and young researchers with a solid mathematical background (calculus, ordinary differential equations, and probability theory at a minimum), as well as with basic notions of biochemistry, cell biology, and molecular biology. They are meant to serve as a readable and brief entry point into a field that is currently highly active, and will allow the reader to grasp the current state of research and so prepare them for defining and tackling new research problems.
Автор: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Wodarz Dominik & Komarova Natalia Название: Dynamics Of Cancer: Mathematical Foundations Of Oncology ISBN: 9814566365 ISBN-13(EAN): 9789814566360 Издательство: World Scientific Publishing Рейтинг: Цена: 26928.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The book aims to provide an introduction to mathematical models that describe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a textbook for advanced undergraduate or graduate courses, and also serves as a reference book for researchers. The book has a strong evolutionary component and reflects the viewpoint that cancer can be understood rationally through a combination of mathematical and biological tools. It can be used both by mathematicians and biologists. Mathematically, the book starts with relatively simple ordinary differential equation models, and subsequently explores more complex stochastic and spatial models. Biologically, the book starts with explorations of the basic dynamics of tumor growth, including competitive interactions among cells, and subsequently moves on to the evolutionary dynamics of cancer cells, including scenarios of cancer initiation, progression, and treatment. The book finishes with a discussion of advanced topics, which describe how some of the mathematical concepts can be used to gain insights into a variety of questions, such as epigenetics, telomeres, gene therapy, and social interactions of cancer cells.
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