Modeling of Soft Matter, Maria-Carme T. Calderer; Eugene M. Terentjev

Автор: Mark Pinsky
Название: An Introduction to Stochastic Modeling,
ISBN: 0123814162 ISBN-13(EAN): 9780123814166
Издательство: Elsevier Science
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Цена: 88690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces students to the standard concepts and methods of stochastic modeling, to illustrate the diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.

Автор: Fasano
Название: Modeling and Optimization in Space Engineering
ISBN: 1461444683 ISBN-13(EAN): 9781461444688
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume presents a selection of studies that address a substantial list of key challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization. Novel points of view such as computational global optimization, multidisciplinary design optimization and optimal control theory are emphasized and both mathematical modeling and algorithmic aspects are discussed. Classic space application problems, such as trajectory optimization, are presented together with systems engineering and logistics aspects, such as propulsion system design and cargo accommodation. A particular attention is paid to the scenarios expected for future interplanetary explorations.  Modeling and Optimization in Space Engineering will benefit researchers and practitioners in the field of space engineering, as well as aerospace graduate and post-graduate students willing to broaden their academic knowledge, by studying real-world applications and challenging problems that they will be likely to tackle in their future professional activities.

Автор: Viens
Название: Handbook of Modeling High-Frequency Data in Finance
ISBN: 0470876883 ISBN-13(EAN): 9780470876886
Издательство: Wiley
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Цена: 157290.00 T
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Описание: * Emphasis throughout the book is placed on models for high-frequency data and applications of statistics and statistical methods to tackle modeling problems within a complex system and systems of systems framework * The book is written and edited by well-known, international experts in the field.

Автор: Tiller
Название: Introduction to Physical Modeling with Modelica
ISBN: 0792373677 ISBN-13(EAN): 9780792373674
Издательство: Springer
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Цена: 85670.00 T
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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: Benninga Simon
Название: Financial Modeling
ISBN: 0262027283 ISBN-13(EAN): 9780262027281
Издательство: MIT Press
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Цена: 141070.00 T
Наличие на складе: Нет в наличии.
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: Zhang Huaguang, Liu Derong
Название: Fuzzy Modeling and Fuzzy Control
ISBN: 0817644911 ISBN-13(EAN): 9780817644918
Издательство: Springer
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Цена: 93160.00 T
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: Fengler Matthias R.
Название: Semiparametric Modeling of Implied Volatility
ISBN: 3540262342 ISBN-13(EAN): 9783540262343
Издательство: Springer
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Цена: 55890.00 T
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Описание: The implied volatility surface is a key financial variable for the pricing and the risk management of plain vanilla and exotic options portfolios alike. Consequently, statistical models of the implied volatility surface are of immediate importance in practice: they may appear as estimates of the current surface or as fully specified dynamic models describing its propagation through space and time.This book fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility and refined semiparametric estimation strategies and dimension reduction methods for functional surfaces: the first part of the book is devoted to smile-consistent pricing appoaches. The theory of implied and local volatility is presented concisely, and vital smile-consistent modeling approaches such as implied trees, mixture diffusion, or stochastic implied volatility models are discussed in detail. The second part of the book familiarizes the reader with estimation techniques that are natural candidates to meet the challenges in implied volatility modeling, such as the rich functional structure of observed implied volatility surfaces and the necessity for dimension reduction: non- and semiparametric smoothing techniques.The book introduces Nadaraya-Watson, local polynomial and least squares kernel smoothing, and dimension reduction methods such as common principle components, functional principle components models and dynamic semiparametric factor models. Throughout, most methods are illustrated with empirical investigations, simulations and pictures.