Understanding Complex Biological Systems with Mathematics, Ami Radunskaya; Rebecca Segal; Blerta Shtylla

Автор: Robinson, Clark
Название: Dynamical Systems: Stability, Symbolic Dynamics, and Chaos ( Studies in Advanced Mathematics #28 )
ISBN: 0849384958 ISBN-13(EAN): 9780849384950
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: Treats the dynamics of both iteration of functions and solutions of ordinary differential equations. This book introduces various concepts for iteration of functions where the geometry is simpler, but results are interpreted for differential equations. It concentrates on properties of the whole system or subsets of the system.

Автор: Anthony, M, , Biggs N.
Название: Mathematics for economics and finance: methods and modelling
ISBN: 0521559138 ISBN-13(EAN): 9780521559133
Издательство: Cambridge Academ
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Цена: 47510.00 T
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Описание: An introduction to mathematical modelling in economics and finance for students of both economics and mathematics. Throughout, the stress is firmly on how the mathematics relates to economics, illustrated with copious examples and exercises that will foster depth of understanding.

Автор: E. Simon,
Название: Mathematics for economists
ISBN: 0393117529 ISBN-13(EAN): 9780393117523
Издательство: Wiley
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Цена: 58080.00 T
Наличие на складе: Невозможна поставка.
Описание: Mathematics for Economists, a new text for advanced undergraduate and beginning graduate students in economics, is a thoroughly modern treatment of the mathematics that underlies economic theory.

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: 60990.00 T
Наличие на складе: Нет в наличии.
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.

Автор: Van Mieghem, Piet.
Название: Performance analysis of complex networks and systems /
ISBN: 1107058600 ISBN-13(EAN): 9781107058606
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: A rigorous and self-contained guide to the mathematical, stochastic and graph theoretic methods needed to analyse the performance and robustness of complex networks and systems. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.

Автор: Ami Radunskaya; Rebecca Segal; Blerta Shtylla
Название: Understanding Complex Biological Systems with Mathematics
ISBN: 303007448X ISBN-13(EAN): 9783030074487
Издательство: Springer
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Цена: 79190.00 T
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Описание: This volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences.The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume.

Автор: Brauer
Название: Dynamical Systems for Biological Modeling
ISBN: 1420066412 ISBN-13(EAN): 9781420066418
Издательство: Taylor&Francis
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Цена: 107190.00 T
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Описание: Presents the techniques required to undertake basic modeling of biological systems through the development and analysis of dynamical systems. This title includes different types of applications from population biology and epidemiology. It provides examples of problems with solutions followed by exercises to reinforce the examples.

Автор: Rajarama Mohan Jena, Snehashish Chakraverty, Subrat Kumar Jena
Название: Time-Fractional Order Biological Systems with Uncertain Parameters
ISBN: 1681737515 ISBN-13(EAN): 9781681737515
Издательство: Mare Nostrum (Eurospan)
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Цена: 75770.00 T
Наличие на складе: Нет в наличии.
Описание: The subject of fractional calculus has gained considerable popularity and importance during the past three decades, mainly due to its validated applications in various fields of science and engineering. It is a generalization of ordinary differentiation and integration to arbitrary (non-integer) order. The fractional derivative has been used in various physical problems, such as frequency-dependent damping behavior of structures, biological systems, motion of a plate in a Newtonian fluid, ����λ��μ controller for the control of dynamical systems, and so on. It is challenging to obtain the solution (both analytical and numerical) of related nonlinear partial differential equations of fractional order. So for the last few decades, a great deal of attention has been directed towards the solution for these kind of problems. Different methods have been developed by other researchers to analyze the above problems with respect to crisp (exact) parameters.

However, in real-life applications such as for biological problems, it is not always possible to get exact values of the associated parameters due to errors in measurements/experiments, observations, and many other errors. Therefore, the associated parameters and variables may be considered uncertain. Here, the uncertainties are considered interval/fuzzy. Therefore, the development of appropriate efficient methods and their use in solving the mentioned uncertain problems are the recent challenge.

In view of the above, this book is a new attempt to rigorously present a variety of fuzzy (and interval) time-fractional dynamical models with respect to different biological systems using computationally efficient method. The authors believe this book will be helpful to undergraduates, graduates, researchers, industry, faculties, and others throughout the globe.

Автор: Rajarama Mohan Jena, Snehashish Chakraverty, Subrat Kumar Jena
Название: Time-Fractional Order Biological Systems with Uncertain Parameters
ISBN: 1681737493 ISBN-13(EAN): 9781681737492
Издательство: Mare Nostrum (Eurospan)
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Цена: 57290.00 T
Наличие на складе: Нет в наличии.
Описание: The subject of fractional calculus has gained considerable popularity and importance during the past three decades, mainly due to its validated applications in various fields of science and engineering. It is a generalization of ordinary differentiation and integration to arbitrary (non-integer) order. The fractional derivative has been used in various physical problems, such as frequency-dependent damping behavior of structures, biological systems, motion of a plate in a Newtonian fluid, ����λ��μ controller for the control of dynamical systems, and so on. It is challenging to obtain the solution (both analytical and numerical) of related nonlinear partial differential equations of fractional order. So for the last few decades, a great deal of attention has been directed towards the solution for these kind of problems. Different methods have been developed by other researchers to analyze the above problems with respect to crisp (exact) parameters.

However, in real-life applications such as for biological problems, it is not always possible to get exact values of the associated parameters due to errors in measurements/experiments, observations, and many other errors. Therefore, the associated parameters and variables may be considered uncertain. Here, the uncertainties are considered interval/fuzzy. Therefore, the development of appropriate efficient methods and their use in solving the mentioned uncertain problems are the recent challenge.

In view of the above, this book is a new attempt to rigorously present a variety of fuzzy (and interval) time-fractional dynamical models with respect to different biological systems using computationally efficient method. The authors believe this book will be helpful to undergraduates, graduates, researchers, industry, faculties, and others throughout the globe.

Автор: Marco Thiel
Название: Nonlinear Dynamics and Chaos: Advances and Perspectives (Understanding Complex Systems)
ISBN: 3642263453 ISBN-13(EAN): 9783642263453
Издательство: Springer
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Цена: 113180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a collection of papers contributed by some of the greatest names in the areas of chaos and nonlinear dynamics. Each paper examines a research topic at the frontier of the area of dynamical systems. As well as reviewing recent results, each paper also discusses the future perspectives of each topic. The result is an invaluable snapshot of the state of the ?eld by some of the most important researchers in the area. The ?rst contribution in this book (the section entitled "How did you get into Chaos?") is actually not a paper, but a collection of personal accounts by a number of participants of the conference held in Aberdeen in September 2007 to honour Celso Grebogi's 60th birthday. At the instigation of James Yorke, many of the most well-known scientists in the area agreed to share their tales on how they got involved in chaos during a celebratory dinner in Celso's honour during the conference. This was recorded in video, we felt that these accounts were a valuable historic document for the ?eld. So we decided to transcribe it and include it here as the ?rst section of the book.

Автор: Matuttis
Название: Understanding the Discrete Element Method: Simulation of Non-Spherical Particles for Granular and Multi-body Systems
ISBN: 111856720X ISBN-13(EAN): 9781118567203
Издательство: Wiley
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Цена: 134060.00 T
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Описание: Gives readers a more thorough understanding of DEM and equips researchers for independent work and an ability to judge methods related to simulation of polygonal particles. This title introduces DEM from the fundamental concepts (theoretical mechanics and solidstate physics), with 2D and 3D simulation methods for polygonal particles.

Название: Understanding complex urban systems
ISBN: 3319301764 ISBN-13(EAN): 9783319301761
Издательство: Springer
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Цена: 113190.00 T
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Описание:

Introduction.- Combining Agent-Based Modeling with Big Data Methods to Support.- Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems.- Bypassing Data Unavailability in Urban Systems Modeling.- Big Data? No Data. How to Pro-actively Deal With Unexpected Change in Cities Where (Big) Data is Not Available.- Conceptualizing the Urban System as a System of Flows.- Operationalizing the Capabilities Approach for Modeling Household Welfare Shifts in Urban Systems: A Special Focus on the Transportation Outcomes of Urban Resettlement.- Interventions in Complex Urban Systems: How to Enable Modeling to Account for Disruptive Innovation.