Описание: This book offers a comprehensive guide to the modelling of operational risk using possibility theory. The book offers a complete assessment of fuzzy methods for determining both value at risk (VaR) and subjective value at risk (SVaR), together with a stability estimation of VaR and SVaR.
Автор: Keke Zhang Название: Theory and Modeling of Rotating Fluids ISBN: 0521850096 ISBN-13(EAN): 9780521850094 Издательство: Cambridge Academ Рейтинг: Цена: 24235.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first systematic account of the theory and modelling of rotating fluids in half a century, recommended for researchers and postgraduate students in fields of atmospheres, oceanography, geophysics, astrophysics and engineering. It unifies three traditionally separated topics in rotating fluids: thermal convection, inertial waves, and precession-driven flow.
Автор: Peter Lindeskog et al Название: Modeling and identification of dynamic systems - exercises ISBN: 9144127898 ISBN-13(EAN): 9789144127897 Издательство: Gazelle Book Services Рейтинг: Цена: 8712.00 р. Наличие на складе: Поставка под заказ.
Описание: This book contains examples and exercises with modeling problems together with complete solutions. The contents is tailored to the book Ljung-Glad: Modeling and Identification of Dynamic Systems (Studentlitteratur, 2016). The exercises are of different levels of difficulty and cover general modeling principles (such as bond graphs) as well as practical tools like Modelica and Simscape. System identification, model and signal properties are also covered together with basic techniques for simulation. Most of the problems deal with issues from industrial applications, but also economic, social and medical cases are covered. The text requires certain knowledge in linear algebra, signal and systems and basic familiarity with physics and statistics. The computer exercises assume access to basic software such as Matlab and Simulink, and to some extent Modelica/Dymola/Simscape. The book is suitable for Master level courses in engineering, but also for practicing engineers.
Описание: This book treats modeling and simulation in a simple way, that builds on the existing knowledge and intuition of students. They will learn how to build a model and solve it using Excel.Most chemical engineering students feel a shiver down the spine when they see a set of complex mathematical equations generated from the modeling of a chemical engineering system. This is because they usually do not understand how to achieve this mathematical model, or they do not know how to solve the equations system without spending a lot of time and effort.Trying to understand how to generate a set of mathematical equations to represent a physical system (to model) and solve these equations (to simulate) is not a simple task. A model, most of the time, takes into account all phenomena studied during a Chemical Engineering course. In the same way, there is a multitude of numerical methods that can be used to solve the same set of equations generated from the modeling, and many different computational languages can be adopted to implement the numerical methods. As a consequence of this comprehensiveness and combinatorial explosion of possibilities, most books that deal with this subject are very extensive and embracing, making need for a lot of time and effort to go through this subject. It is expected that with this book the chemical engineering student and the future chemical engineer feel motivated to solve different practical problems involving chemical processes, knowing they can do that in an easy and fast way, with no need of expensive software.
Автор: Deng Weihua Название: Modeling Anomalous Diffusion: From Statistics To Mathematics ISBN: 9811212996 ISBN-13(EAN): 9789811212994 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Tiller Название: Introduction to Physical Modeling with Modelica ISBN: 0792373677 ISBN-13(EAN): 9780792373674 Издательство: Springer Рейтинг: Цена: 12850.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This title describes "Modelica", a modelling language that can be used to simulate both continuous and discrete behaviour, It provides the necessary
background to develop Modelica models of almost any physical system. The author starts with basic differential equations from several engineering domains and describes how these
equations can be used to create reusable component models. Next, he describes techniques for modelling complex non-linear behaviour, exploiting the powerful array handling features
and mixing continuous and discrete behaviour.
The second part of the book focuses on effective use of all the language features provided by the Modelica modelling
language. This includes, among other things, discussions on maximizing the reusability of component models being developed, managing the model development process, and making
models as computationally efficient as possible. The book includes a companion CD-ROM with the Modelica source code for all examples as well as an evaluation copy of
Dymola.
Using Dymola, readers can immediately begin to explore the dynamics of the models included with the book or to develop their own models. Nearly 100 examples of
mechanical, electrical, biological, chemical, thermal and hydraulic models are included.
Автор: Rasmuson Название: Mathematical Modeling in Chemical Engineering ISBN: 1107049695 ISBN-13(EAN): 9781107049697 Издательство: Cambridge Academ Рейтинг: Цена: 9027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A solid introduction, equipping the reader with the insight and skill required to successfully formulate, construct, simplify, evaluate and use mathematical models in chemical engineering. The accompanying problems, tutorials, and projects provide the reader with hands-on experience, and include model formulation at different levels, analysis, parameter estimation and numerical solution.
Автор: Krishnan S. Hariharan; Piyush Tagade; Sanoop Ramac Название: Mathematical Modeling of Lithium Batteries ISBN: 3319035266 ISBN-13(EAN): 9783319035260 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals—often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier.Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across—from detailed electrochemical models to algorithms used for real time estimation on a microchip—is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework—often invoking basic principles of thermodynamics or transport phenomena—and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well.The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.
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: Solym Mawaki Manou–Abi, Sophie Dabo–Niang, Jean–Ja Название: Mathematical Modeling of Random and Deterministic Phenomena ISBN: 1786304546 ISBN-13(EAN): 9781786304544 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it provides current research in mathematics, with applications in biological and environmental sciences, ecology, epidemiology and social perspectives.
The chapters can be read independently of each other, with dedicated references specific to each chapter. The book is organized in two main parts. The first is devoted to some advanced mathematical problems regarding epidemic models; predictions of biomass; space-time modeling of extreme rainfall; modeling with the piecewise deterministic Markov process; optimal control problems; evolution equations in a periodic environment; and the analysis of the heat equation. The second is devoted to a modelization with interdisciplinarity in ecological, socio-economic, epistemological, demographic and social problems.
Mathematical Modeling of Random and Deterministic Phenomena is aimed at expert readers, young researchers, plus graduate and advanced undergraduate students who are interested in probability, statistics, modeling and mathematical analysis.
Автор: Lando, David Название: Credit Risk Modeling ISBN: 0691089299 ISBN-13(EAN): 9780691089294 Издательство: Wiley Рейтинг: Цена: 17266.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts i
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
