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Applied Mathematical Modeling, 


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Название:  Applied Mathematical Modeling
ISBN: 9780367399306
Издательство: Taylor&Francis
Классификация:
ISBN-10: 036739930X
Обложка/Формат: Paperback
Страницы: 468
Вес: 0.87 кг.
Дата издания: 20.12.2019
Серия: Discrete Mathematics and Its Applications
Язык: English
Размер: 231 x 155 x 28
Читательская аудитория: Tertiary education (us: college)
Основная тема: Applied Mathematics
Подзаголовок: A Multidisciplinary Approach
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Applied Mathematical Modeling is an outstanding collection of in-depth case studies that span the mathematical sciences.


Prime Numbers and the Riemann Hypothesis

Автор: Mazur
Название: Prime Numbers and the Riemann Hypothesis
ISBN: 1107499437 ISBN-13(EAN): 9781107499430
Издательство: Cambridge Academ
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Цена: 3802.00 р.
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Описание: This book introduces prime numbers and explains the celebrated, unsolved Riemann hypothesis in a direct manner. Suitable for both scholars and those with a minimal mathematical background.

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 15046.00 р.
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Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Modeling Love Dynamics

Автор: Rinaldi Sergio, Della Rossa Fabio, Dercole Fabio, Gragnani Alessandra, Landi Pietro
Название: Modeling Love Dynamics
ISBN: 981322441X ISBN-13(EAN): 9789813224414
Издательство: World Scientific Publishing
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Цена: 6336.00 р.
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Описание:

This book shows, for the very first time, how love stories -- a vital issue in our lives -- can be tentatively described with classical mathematics. Focus is on the derivation and analysis of reliable models that allow one to formally describe the expected evolution of love affairs from the initial state of indifference to the final romantic regime. The models are in full agreement with the basic philosophical principles of love psychology. Eight chapters are theoretically oriented and discuss the romantic relationships between important classes of individuals identified by particular psychological traits. The remaining chapters are devoted to case studies described in classical poems or in worldwide famous films.

Mathematical Modeling of Unsteady Inviscid Flows

Автор: Jeff D. Eldredge
Название: Mathematical Modeling of Unsteady Inviscid Flows
ISBN: 3030183181 ISBN-13(EAN): 9783030183189
Издательство: Springer
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Цена: 17074.00 р.
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Описание: This book builds inviscid flow analysis from an undergraduate-level treatment of potential flow to the level required for research. The tools covered in this book allow the reader to develop physics-based mathematical models for a variety of flows, including attached and separated flows past wings, fins, and blades of various shapes undergoing arbitrary motions. The book covers all of the ingredients of these models: the solution of potential flows about arbitrary body shapes in two- and three-dimensional contexts, with a particular focus on conformal mapping in the plane; the decomposition of the flow into contributions from ambient vorticity and body motion; generalized edge conditions, of which the Kutta condition is a special case; and the calculation of force and moment, with extensive treatments of added mass and the influence of fluid vorticity. The book also contains an extensive primer with all of the necessary mathematical tools. The concepts are demonstrated on several example problems, both classical and modern.

Modeling and Data Analysis: An Introduction with Environmental Applications

Автор: John B. Little
Название: Modeling and Data Analysis: An Introduction with Environmental Applications
ISBN: 1470448696 ISBN-13(EAN): 9781470448691
Издательство: Mare Nostrum (Eurospan)
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Цена: 10659.00 р.
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Описание: Can we coexist with the other life forms that have evolved on this planet? Are there realistic alternatives to fossil fuels that would sustainably provide for human society's energy needs and have fewer harmful effects? How do we deal with threats such as emergent diseases? Mathematical models--equations of various sorts capturing relationships between variables involved in a complex situation--are fundamental for understanding the potential consequences of choices we make. Extracting insights from the vast amounts of data we are able to collect requires analysis methods and statistical reasoning.This book on elementary topics in mathematical modeling and data analysis is intended for an undergraduate ``liberal arts mathematics''-type course but with a specific focus on environmental applications. It is suitable for introductory courses with no prerequisites beyond high school mathematics. A great variety of exercises extends the discussions of the main text to new situations and/or introduces new real-world examples. Every chapter ends with a section of problems, as well as with an extended chapter project which often involves substantial computing work either in spreadsheet software or in the ${\tt R}$ statistical package.

Biology in time and space

Автор: Keener, James P.
Название: Biology in time and space
ISBN: 1470454289 ISBN-13(EAN): 9781470454289
Издательство: Mare Nostrum (Eurospan)
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Цена: 12415.00 р.
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Описание: How do biological objects communicate, make structures, make measurements and decisions, search for food, i.e., do all the things necessary for survival? Designed for an advanced undergraduate audience, this book uses mathematics to begin to tell that story. It builds on a background in multivariable calculus, ordinary differential equations, and basic stochastic processes and uses partial differential equations as the framework within which to explore these questions.

Modeling and Inverse Problems in Imaging Analysis

Автор: Kari A. Foster; Bernard Chalmond
Название: Modeling and Inverse Problems in Imaging Analysis
ISBN: 1441930493 ISBN-13(EAN): 9781441930491
Издательство: Springer
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Цена: 9873.00 р.
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Описание: Translated by Kari A. Foster.

Lectures on stochastic programming 3rd

Автор: Shapiro, Alexander Dentcheva, Darinka Ruszczski, Andrzej
Название: Lectures on stochastic programming 3rd
ISBN: 1611976588 ISBN-13(EAN): 9781611976588
Издательство: Mare Nostrum (Eurospan)
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Цена: 16632.00 р.
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Описание: Covers optimization problems involving uncertain parameters for which stochastic models are available. These problems occur in almost all areas of science and engineering.

Biomat 2012 - International Symposium On Mathematical And Computational Biology

Автор: Mondaini Rubem P
Название: Biomat 2012 - International Symposium On Mathematical And Computational Biology
ISBN: 9814520810 ISBN-13(EAN): 9789814520812
Издательство: World Scientific Publishing
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Цена: 19008.00 р.
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Описание: This is a book of a series on interdisciplinary topics of the Biological and Mathematical Sciences. The chapters correspond to selected papers on special research themes, which were presented at BIOMAT 2012 International Symposium on Mathematical and Computational Biology, in Tempe, Arizona, USA, November 6-10.This book contains state-of-the art articles on special research topics on mathematical biology, biological physics and mathematical modeling of biosystems; comprehensive reviews on interdisciplinary areas written by prominent leaders of scientific research groups. The treatment is both pedagogical and advanced in order to motivate research students as well as to fulfill the requirements of professional practitioners.

Fluid-Structure Interaction: Modeling, Adaptive Discretisations and Solvers

Автор: Stefan Frei, B?rbel Holm, Thomas Richter, Thomas W
Название: Fluid-Structure Interaction: Modeling, Adaptive Discretisations and Solvers
ISBN: 3110495279 ISBN-13(EAN): 9783110495270
Издательство: Walter de Gruyter
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Цена: 22305.00 р.
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Описание: This monograph discusses modeling, adaptive discretisation techniques and the numerical solution of fluid structure interaction. An emphasis in part I lies on innovative discretisation and advanced interface resolution techniques. The second part covers the efficient and robust numerical solution of fluid-structure interaction. In part III, recent advances in the application fields vascular flows, binary-fluid-solid interaction, and coupling to fractures in the solid part are presented. Moreover each chapter provides a comprehensive overview in the respective topics including many references to concurring state-of-the art work. ContentsPart I: Modeling and discretizationOn the implementation and benchmarking of an extended ALE method for FSI problemsThe locally adapted parametric finite element method for interface problems on triangular meshesAn accurate Eulerian approach for fluid-structure interactions Part II: SolversNumerical methods for unsteady thermal fluid structure interactionRecent development of robust monolithic fluid-structure interaction solversA monolithic FSI solver applied to the FSI 1,2,3 benchmarks Part III: ApplicationsFluid-structure interaction for vascular flows: From supercomputers to laptopsBinary-fluid–solid interaction based on the Navier–Stokes–Cahn–Hilliard EquationsCoupling fluid-structure interaction with phase-field fracture: Algorithmic details

Approximation Theory and Approximation Practice: Extended Edition

Автор: Lloyd N. Trefethen
Название: Approximation Theory and Approximation Practice: Extended Edition
ISBN: 161197593X ISBN-13(EAN): 9781611975932
Издательство: Mare Nostrum (Eurospan)
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Цена: 9148.00 р.
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Описание: This is a textbook on classical polynomial and rational approximation theory for the twenty-first century. Aimed at advanced undergraduates and graduate students across all of applied mathematics, it uses MATLAB to teach the field’s most important ideas and results.

Approximation Theory and Approximation Practice, Extended Edition differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable MATLAB M-file, available online.

The book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. In addition, each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.

Computational Technologies: Advanced Topics

Автор: Petr N. Vabishchevich
Название: Computational Technologies: Advanced Topics
ISBN: 3110359944 ISBN-13(EAN): 9783110359947
Издательство: Walter de Gruyter
Цена: 9288.00 р.
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Описание: This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.


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