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Frontiers in Mathematical Modelling Research, M Haider Ali Biswas


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Автор: M Haider Ali Biswas
Название:  Frontiers in Mathematical Modelling Research
ISBN: 9781685074302
Издательство: Nova Science
Классификация:
ISBN-10: 1685074308
Обложка/Формат: Hardback
Страницы: 379
Вес: 0.64 кг.
Дата издания: 06.05.2022
Серия: Mathematics
Язык: English
Размер: 167 x 259 x 15
Читательская аудитория: General (us: trade)
Ключевые слова: Applied mathematics
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Поставляется из: Англии
Описание: Mathematical modelling is the process of trying to precisely define a nonmathematical situation, real-life phenomena of changing world and the relationships between the situations in the language of mathematics, and finding out mathematical formulations or patterns within these situations and phenomena. Mathematical modelling in terms of nonlinear dynamic equations is described as a conversion activity of real problems in a mathematical form. The interactions between the mathematical and biological sciences have been increasing rapidly in recent years. Both traditional topics, such as population and disease modelling, and new ones, such as those in genomics arising from the accumulation of DNA sequence data, have made mathematical modelling in biomathematics an exciting field. The best predictions of numerous individuals and scientific communities have suggested that this growing area will continue to be one of the most dominating and fascinating driving factors to capture the global change phenomena and design a sustainable management for a better world. Frontiers in Mathematical Modelling Research provides the most recent and up-to-date developments in the mathematical analysis of real world problems arising in engineering, biology, economics, geography, planning, sociology, psychology, medicine and epidemiology of infectious diseases. Mathematical modelling and analysis are important, not only to understand disease progression, but also to provide predictions about the evolution of the disease and insights about the dynamics of the transmission rate and the effectiveness of control measures. One of the main focuses of the book is the transmission dynamics of emerging and re-emerging infectious diseases and the implementation of intervention strategies. It also discusses optimal control strategies like pharmaceutical and non-pharmaceutical interventions and their potential effectiveness on the control of infections with the help of compartmental mathematical models in epidemiology. This book also covers a wide variety of topics like dynamic models in robotics, chemical process, biodynamic hypothesis and its application for the mathematical modelling of biological growth and the analysis of diagnosis rate effects and prediction of zoonotic viruses, data-driven dynamic simulation and scenario analysis of the spread of diseases. Frontiers in Mathematical Modelling Research will play a pivotal role as helpful resource for mathematical biologists and ecologists, epidemiologists, epidemic modelers, virologists, researchers, mathematical modelers, robotic scientists and control engineers and others engaged in the analysis of the transmission, prevention, and control of infectious diseases and their impact on human health. It is expected that this self-contained edited book can also serve undergraduate and graduate students, young scholars and early career researchers as the basis for meaningful directives of current trends of research in mathematical biology.


Mathematical Methods for Physics and Engineering

Автор: Riley
Название: Mathematical Methods for Physics and Engineering
ISBN: 0521679710 ISBN-13(EAN): 9780521679718
Издательство: Cambridge Academ
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Цена: 7920.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This highly acclaimed undergraduate textbook teaches all the mathematics for undergraduate courses in the physical sciences. Containing over 800 exercises, half come with hints and answers and, in a separate manual, complete worked solutions. The remaining exercises are intended for unaided homework; full solutions are available to instructors.

Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

A Primer on Fourier Analysis for the Geosciences

Автор: Crockett, Robin (university Of Northampton)
Название: A Primer on Fourier Analysis for the Geosciences
ISBN: 1316600246 ISBN-13(EAN): 9781316600245
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: An intuitive introduction to basic Fourier theory, with an emphasis on geoscience applications. Numerous worked examples from R are used to illustrate the theory, making this an ideal practical guide for graduate students and researchers who are using time-series analysis to quantify periodic features in geoscience data.

Principles of Computational Cell Biology

Автор: Helms, Volkhard
Название: Principles of Computational Cell Biology
ISBN: 3527333584 ISBN-13(EAN): 9783527333585
Издательство: Wiley
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Цена: 11880.00 р.
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Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.

Mathematical Modelling in Education Research and Practice

Автор: Gloria Ann Stillman; Werner Blum; Maria Salett Bie
Название: Mathematical Modelling in Education Research and Practice
ISBN: 3319182714 ISBN-13(EAN): 9783319182711
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In this volume cultural, social and cognitive influences on the research and teaching of mathematical modelling are explored from a variety of theoretical and practical perspectives.

Fast techniques for integrated circuit design /

Автор: Sahrling, Mikael,
Название: Fast techniques for integrated circuit design /
ISBN: 1108498450 ISBN-13(EAN): 9781108498456
Издательство: Cambridge Academ
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Цена: 15365.00 р.
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Описание: Learn how to use estimation techniques to solve integrated circuit (IC) design problems, accelerate the design process, and enhance understanding of complex systems with this step-by-step guide. Using numerous real-world application examples, it is ideal for both early-career and established professionals and researchers, and graduate students, working in IC design.

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.

Invasive Species

Автор: Robinson
Название: Invasive Species
ISBN: 0521146747 ISBN-13(EAN): 9780521146746
Издательство: Cambridge Academ
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Цена: 8237.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Biosecurity regulators are charged with protecting national environments, agricultural interests and economies on tight budgets, while supporting trade. Focusing on surveillance, statistical modelling, decision making and communication, this book presents tested scientific solutions to the greatest challenges faced by biosecurity regulators today.

Invasive Species

Автор: Robinson
Название: Invasive Species
ISBN: 052176596X ISBN-13(EAN): 9780521765961
Издательство: Cambridge Academ
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Цена: 16315.00 р.
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Описание: Biosecurity regulators are charged with protecting national environments, agricultural interests and economies on tight budgets, while supporting trade. Focusing on surveillance, statistical modelling, decision making and communication, this book presents tested scientific solutions to the greatest challenges faced by biosecurity regulators today.

Mathematical Methods For The Natural And Engineering Sciences (Second Edition)

Автор: Mickens Ronald E
Название: Mathematical Methods For The Natural And Engineering Sciences (Second Edition)
ISBN: 981320270X ISBN-13(EAN): 9789813202702
Издательство: World Scientific Publishing
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Цена: 18216.00 р.
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Описание: This second edition provides a broad range of methods and concepts required for the analysis and solution of equations which arise in the modeling of phenomena in the natural, engineering, and applied mathematical sciences. It may be used productively by both undergraduate and graduate students, as well as others who wish to learn, understand, and apply these techniques. Detailed discussions are also given for several topics that are not usually included in standard textbooks at this level of presentation: qualitative methods for differential equations, dimensionalization and scaling, elements of asymptotics, difference equations and several perturbation procedures. Further, this second edition includes several new topics covering functional equations, the Lambert-W function, nonstandard sets of periodic functions, and the method of dominant balance. Each chapter contains a large number of worked examples and provides references to the appropriate books and literature.

Dynamical System Models In The Life Sciences And Their Underlying Scientific Issues

Автор: Wan Frederic Y M
Название: Dynamical System Models In The Life Sciences And Their Underlying Scientific Issues
ISBN: 9813143339 ISBN-13(EAN): 9789813143333
Издательство: World Scientific Publishing
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Цена: 17899.00 р.
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Описание:

oadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stable or unstable with respect to a small perturbation from equilibrium, or whether a small change in the environment would cause a catastrophic change, etc. Each scientific issue requires an appropriate model and a different set of mathematical tools to extract information from the model. Models examined are chosen to help explain or justify empirical observations such as cocktail drug treatments are more effective and regenerations after injuries or illness are fast-tracked (compared to original developments).

Volume I of this three-volume set limits its scope to phenomena and scientific issues that are modeled by ordinary differential equations (ODE). Scientific issues such as signal and wave propagation, diffusion, and shock formation involving spatial dynamics to be modeled by partial differential equations (PDE) will be treated in Vol. II. Scientific issues involving randomness and uncertainty are examined in Vol. III.

Dynamical System Models In The Life Sciences And Their Underlying Scientific Issues

Автор: Wan Frederic Y M
Название: Dynamical System Models In The Life Sciences And Their Underlying Scientific Issues
ISBN: 9813143703 ISBN-13(EAN): 9789813143708
Издательство: World Scientific Publishing
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Цена: 10930.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

oadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2) the method based approach (that teaches mathematical techniques with applications to relevant mathematical models). This text emphasizes instead the scientific issues for modeling different phenomena. For the natural or harvested growth of a fish population, we may be interested in the evolution of the population, whether it reaches a steady state (equilibrium or cycle), stable or unstable with respect to a small perturbation from equilibrium, or whether a small change in the environment would cause a catastrophic change, etc. Each scientific issue requires an appropriate model and a different set of mathematical tools to extract information from the model. Models examined are chosen to help explain or justify empirical observations such as cocktail drug treatments are more effective and regenerations after injuries or illness are fast-tracked (compared to original developments).

Volume I of this three-volume set limits its scope to phenomena and scientific issues that are modeled by ordinary differential equations (ODE). Scientific issues such as signal and wave propagation, diffusion, and shock formation involving spatial dynamics to be modeled by partial differential equations (PDE) will be treated in Vol. II. Scientific issues involving randomness and uncertainty are examined in Vol. III.


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