Math modeling, Bliss, Karen M. Galluzzo, Benjamin J. Kavanagh, Kathleen R. Levy, Rachel
Автор: Tiller Название: Introduction to Physical Modeling with Modelica ISBN: 0792373677 ISBN-13(EAN): 9780792373674 Издательство: Springer Рейтинг: Цена: 11015 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.
Описание: This concise and elementary introduction to stochastic control and mathematical modelling is designed for researchers in stochastic control theory studying its application in mathematical economics, and for interested economics researchers. Also suitable for graduate students in applied mathematics, mathematical economics, and non-linear PDE theory.
Автор: Zhang Huaguang, Liu Derong Название: Fuzzy Modeling and Fuzzy Control ISBN: 0817644911 ISBN-13(EAN): 9780817644918 Издательство: Springer Рейтинг: Цена: 11978 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy logic methodology is effective in dealing with complex nonlinear systems containing uncertainties that are tough to model. Technology based on this methodology has been applied to real-world problems, especially in consumer products. This book presents treatment of fuzzy modeling and fuzzy control, offering tools for control of such systems.
Автор: Byrne Название: Structural Equation Modeling With AMOS ISBN: 1138797030 ISBN-13(EAN): 9781138797031 Издательство: Taylor&Francis Рейтинг: Цена: 5928 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.
Автор: Benninga Simon Название: Financial Modeling ISBN: 0262027283 ISBN-13(EAN): 9780262027281 Издательство: MIT Press Рейтинг: Цена: 17820 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners.
Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the "cookbook" features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler.
The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters.
New print copies of this book include a card affixed to the inside back cover with a unique access code. Access codes are required to download Excel worksheets and solutions to end-of-chapter exercises. If you have a used copy of this book, you may purchase a digitally-delivered access code separately via the Supplemental Material link on this page. If you purchased an e-book, you may obtain a unique access code by emailing digitalproducts-cs@mit.edu or calling 617-253-2889 or 800-207-8354 (toll-free in the U.S. and Canada).
Praise for earlier editions "Financial Modeling belongs on the desk of every finance professional. Its no-nonsense, hands-on approach makes it an indispensable tool." -- Hal R. Varian, Dean, School of Information Management and Systems, University of California, Berkeley
" Financial Modeling is highly recommended to readers who are interested in an introduction to basic, traditional approaches to financial modeling and analysis, as well as to those who want to learn more about applying spreadsheet software to financial analysis." -- Edward Weiss, Journal of Computational Intelligence in Finance
"Benninga has a clear writing style and uses numerous illustrations, which make this book one of the best texts on using Excel for finance that I've seen." -- Ed McCarthy, Ticker Magazine
Автор: Ye Yao Название: Modeling and Control in Air-conditioning Systems ISBN: 3662533111 ISBN-13(EAN): 9783662533116 Издательство: Springer Рейтинг: Цена: 17967 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory.Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.
Автор: Deutsch Clayton V., Pyrcz Michael J. Название: Geostatistical Reservoir Modeling ISBN: 0199731446 ISBN-13(EAN): 9780199731442 Издательство: Oxford Academ Рейтинг: Цена: 15180 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.
Автор: Keke Zhang Название: Theory and Modeling of Rotating Fluids ISBN: 0521850096 ISBN-13(EAN): 9780521850094 Издательство: Cambridge Academ Рейтинг: Цена: 17424 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.
High temperature, high oil pressure, oil and gas well completion testing have always been a technical challenge and basic theoretical research is one of the key factors needed to ensure a successful completion test. The completion test basic theory includes: a stress analysis of the completion string, completion string buckling behavior, and temperature and pressure distribution prediction. The completion string is the main bearing and power transmission component for oil and gas well operations and production, and it is required to take on a combination of loads, which result in completion string deformation. Because of these complex relationships, completion string stress analysis has become increasingly more complicated.
This book discusses the characters of tubular strings in HTHP (High Temperature - High Pressure) oil and gas wells. These characters include the mechanical behavior of tubular strings and the temperature and pressure variation of tubular strings in different conditions. Mathematical models are established for different conditions and solution existence and uniqueness of some models is discussed, providing algorithms corresponding to the different models. Numerical experiments are presented to verify the validity of models and the feasibility of algorithms, and the impact of the parameters of models for oil and gas wells is also discussed.
This book is written for production and testing engineers to provide them with the tools to deal more effectively with the numerical decisions they have to take and for researchers and technicians in petroleum and gas testing and production engineering. Finally, it is also intended to serve as a reference book for mathematicians, college teachers and students.
Автор: Krishnan S. Hariharan; Piyush Tagade; Sanoop Ramac Название: Mathematical Modeling of Lithium Batteries ISBN: 3319035266 ISBN-13(EAN): 9783319035260 Издательство: Springer Рейтинг: Цена: 14374 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.
Автор: Jondeau Название: Financial Modeling Under Non-Gaussian Distributions ISBN: 1846284198 ISBN-13(EAN): 9781846284199 Издательство: Springer Рейтинг: Цена: 11978 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. This book deals with the non-Gaussian distributions and addresses the consequences of non-normality and time dependency in asset returns and option prices.
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