Understanding Physics Using Mathematical Reasoning: A Modeling Approach for Practitioners and Researchers, Sokolowski Andrzej

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: 100310.00 T
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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.

Автор: Deng Weihua
Название: Modeling Anomalous Diffusion: From Statistics To Mathematics
ISBN: 9811212996 ISBN-13(EAN): 9789811212994
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание:

This book focuses on modeling the anomalous diffusion phenomena, being ubiquitous in the natural world. Both the microscopic models (stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics, the built models show their power with their associated applications.

This book is important for students to develop basic skills to be able to succeed in their future research. In addition to introducing the related models or methods, it also provides the corresponding applications and simulation results, which will attract more readers ranging from mathematicians to physicists or chemists, to name a few.

Автор: Elbert E. N. Macau
Название: A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems
ISBN: 3030087182 ISBN-13(EAN): 9783030087180
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book collects recent developments in nonlinear and complex systems. It provides up-to-date theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers symmetry groups, conservation laws, risk reduction management, barriers in Hamiltonian systems, and synchronization and chaotic transient. Illustrating mathematical modeling applications to nonlinear physics and nonlinear engineering, the book is ideal for academic and industrial researchers concerned with machinery and controls, manufacturing, and controls.· Introduces new concepts for understanding and modeling complex systems;· Explains risk reduction management in complex systems;· Examines the symmetry group approach to understanding complex systems;· Illustrates the relation between transient chaos and crises.

Автор: Seppo Mikkola
Название: Gravitational Few-Body Dynamics: A Numerical Approach
ISBN: 1108491294 ISBN-13(EAN): 9781108491297
Издательство: Cambridge Academ
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Цена: 141510.00 T
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Описание: In this introduction to the few-body problem, a key figure in developing more efficient methods over the past few decades summarizes and explains them, covering both basic analytical formulations and numerical methods. Mikkola explains this methodology for graduate students and researchers in astronomy, celestial mechanics, and stellar dynamics.

Название: Soft computing approach for mathematical modeling of engineering problems
ISBN: 036768599X ISBN-13(EAN): 9780367685997
Издательство: Taylor&Francis
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Цена: 112290.00 T
Наличие на складе: Невозможна поставка.
Описание: This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with m

Автор: Conradi Smith Greg
Название: Cellular Biophysics and Modeling
ISBN: 0521183057 ISBN-13(EAN): 9780521183055
Издательство: Cambridge Academ
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Цена: 48570.00 T
Наличие на складе: Поставка под заказ.
Описание: An integrated guide to cellular biophysics and nonlinear dynamics, introducing students to the mathematical modeling of excitable cells. It combines empirical physiology and mathematical theory to present key interdisciplinary tools, highlighting how quantitative approaches can complement and advance bench research.

Автор: Gordon Bonan
Название: Climate Change and Terrestrial Ecosystem Modeling
ISBN: 1107043786 ISBN-13(EAN): 9781107043787
Издательство: Cambridge Academ
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Цена: 128830.00 T
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Описание: Using theory and practice, this text covers the fundamentals of environmental biophysics, biogeochemical cycles, and vegetation dynamics. It bridges the disciplinary gap among the different ecosystem models developed by atmospheric scientists, ecologists, and hydrologists. Review questions, supplemental code, and modeling projects are provided.

Автор: Bonan Gordon
Название: Climate Change and Terrestrial Ecosystem Modeling
ISBN: 1107619076 ISBN-13(EAN): 9781107619074
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: Using theory and practice, this text covers the fundamentals of environmental biophysics, biogeochemical cycles, and vegetation dynamics. It bridges the disciplinary gap among the different ecosystem models developed by atmospheric scientists, ecologists, and hydrologists. Review questions, supplemental code, and modeling projects are provided.

Автор: Pandit, Abhijit
Название: Mathematical Modeling using Fuzzy Logic
ISBN: 1138390488 ISBN-13(EAN): 9781138390485
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new areas of applications like application of fuzzy logic in modelling of sustainability. The text is broadly divided into two parts. The first part treats processes, material and system applications related to fuzzy logic. While the second part delves into the modelling of sustainability with the help of fuzzy logic.

Автор: Wollkind David, Dichone Bonni J.
Название: Pulling Rabbits Out of Hats: Using Mathematical Modeling in the Material, Biophysical, Fluid Mechanical, and Chemical Sciences
ISBN: 1032047879 ISBN-13(EAN): 9781032047874
Издательство: Taylor&Francis
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Цена: 188850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Pulling Rabbits Out of Hats: Using Mathematical Modeling in the Material, Biophysical, Fluid Mechanical, and Chemical Sciences focuses on those assumptions made during applied mathematical modeling in which the phenomenological data and the model predictions are self-consistent.