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Monte Carlo Methods Utilizing Mathematica®, Chowdhury


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Цена: 5589.00р.
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Автор: Chowdhury
Название:  Monte Carlo Methods Utilizing Mathematica®
ISBN: 9783031232930
Издательство: Springer
Классификация:




ISBN-10: 3031232933
Обложка/Формат: Hardback
Страницы: 149
Вес: 0.46 кг.
Дата издания: 25.02.2023
Серия: Synthesis Lectures on Mathematics & Statistics
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 25 illustrations, color; 21 illustrations, black and white; viii, 149 p. 46 illus., 25 illus. in color.
Размер: 249 x 176 x 16
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Подзаголовок: Applications in inverse transform and acceptance-rejection sampling
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides practical demonstrations of how to carry out definite integrals with Monte Carlo methods using Mathematica. Random variates are sampled by the inverse transform method and the acceptance-rejection method using uniform, linear, Gaussian, and exponential probability distribution functions. A chapter on the application of the Variational Quantum Monte Carlo method to a simple harmonic oscillator is included. These topics are all essential for students of mathematics and physics. The author includes thorough background on each topic covered within the book in order to help readers understand the subject. The book also contains many examples to show how the methods can be applied.
Дополнительное описание: Introduction for Part I.- Evaluation of Definite Integrals Using Inverse Transform Sampling Utilizing Mathematica.- Introduction for Part II.- Evaluation of Definite Integrals Using Acceptance-rejection Sampling Utilizing Matematica.- Variational Monte Ca



An Engineer`s Guide to Mathematica®

Автор: Magrab
Название: An Engineer`s Guide to Mathematica®
ISBN: 1118821262 ISBN-13(EAN): 9781118821268
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Free Mathematica 10 Update Included! Now available from www. wiley.

Bayesian Logical Data Analysis for the Physical Sciences

Автор: Gregory
Название: Bayesian Logical Data Analysis for the Physical Sciences
ISBN: 0521150124 ISBN-13(EAN): 9780521150125
Издательство: Cambridge Academ
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Цена: 10454.00 р.
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Описание: Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica (R) notebooks are available.

VisualDSolve

Автор: Dan Schwalbe; Stan Wagon
Название: VisualDSolve
ISBN: 1461274737 ISBN-13(EAN): 9781461274735
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This title presents new ideas on the visualization of differential equations with user-configurable tools. The authors use the widely-used computer algebra system, Mathematica, to provide an integrated environment for programming, visualizing graphics, and running commentary for learning and working with differential equations.

Economic and Financial Modeling with Mathematica®

Автор: Hal R. Varian
Название: Economic and Financial Modeling with Mathematica®
ISBN: 1475722834 ISBN-13(EAN): 9781475722833
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Mathematica is a computer program (software) for doing symbolic, numeric and graphical analysis of mathematical problems. In the hands of economists, financial analysts and other professionals in econometrics and the quantitative sector of economic and financial modeling, it can be an invaluable tool for modeling and simulation on a large number of issues and problems, besides easily grinding out numbers, doing statistical estimations and rendering graphical plots and visuals. Mathematica enables these individuals to do all of this in a unified environment. This book's main use is that of an applications handbook. Modeling in Economics and Finance with Mathematica is a compilation of contributed papers prepared by experienced, "hands on" users of the Mathematica program. They come from a broad spectrum of Mathematica devotees in the econometric and financial/investment community on both the professional and academic fronts. Each paper provides a set of tools and examples of Mathematica in action. These tools will also be made accessible to users via a DOS-based floppy disk which will contain Mathematica Notebooks and Packages, and be packaged with the book.

Symmetry Analysis of Differential Equations with Mathematica®

Автор: Gerd Baumann
Название: Symmetry Analysis of Differential Equations with Mathematica®
ISBN: 1461274184 ISBN-13(EAN): 9781461274186
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The first book to explicitly use Mathematica so as to allow researchers and students to more easily compute and solve almost any kind of differential equation using Lie`s theory. The cross-platform CD-ROM contains Mathematica (version 3.0) notebooks which allow users to directly interact with the code presented within the book.

Introduction to Mathematica® with Applications

Автор: Marian Mure?an
Название: Introduction to Mathematica® with Applications
ISBN: 3319520024 ISBN-13(EAN): 9783319520025
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Introducing the features of Mathematica(R), this book continues with more complex material, including many examples and illustrations of how Mathematica(R) can be used. Topics among others include sorting algorithms; functions (planar and solid); ordinary differential equations; dealing with the Pi number; and optimal control problems.

Introduction to the Mathematics of Operations Research with Mathematica®

Автор: Hastings, Kevin J.
Название: Introduction to the Mathematics of Operations Research with Mathematica®
ISBN: 1574446126 ISBN-13(EAN): 9781574446128
Издательство: Taylor&Francis
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Цена: 27562.00 р.
Наличие на складе: Нет в наличии.

Dynamical Systems with Applications Using Mathematica®

Автор: Stephen Lynch
Название: Dynamical Systems with Applications Using Mathematica®
ISBN: 3319870890 ISBN-13(EAN): 9783319870892
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Нет в наличии.

Описание: This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica (R) computer algebra package. The first section deals with continuous systems using ordinary differential equations, while the second part is devoted to the study of discrete dynamical systems.

Introduction to the Mathematics of Operations Research with Mathematica®

Автор: Hastings, Kevin J.
Название: Introduction to the Mathematics of Operations Research with Mathematica®
ISBN: 0367390787 ISBN-13(EAN): 9780367390785
Издательство: Taylor&Francis
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Цена: 9798.00 р.
Наличие на складе: Нет в наличии.

Описание: Revised and updated to reflect recent advances, Introduction to the Mathematics of Operations Research with Mathematica (R), Second Edition focuses on the topics of graph theory, linear programming, stochastic processes, and dynamic programming. Integrating technology into the development, this second edition features downloadable resources with Mathe

Analysis with Mathematica®: Volume 1: Single Variable Calculus

Автор: Galina Filipuk, Andrzej Kozlowski
Название: Analysis with Mathematica®: Volume 1: Single Variable Calculus
ISBN: 3110590131 ISBN-13(EAN): 9783110590135
Издательство: Walter de Gruyter
Цена: 11148.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A computer algebra system such as Mathematica is able to do much more than just numerics: This text shows how to tackle real mathematical problems from basic analysis. The reader learns how Mathematica represents domains, qualifiers and limits to implement actual proofs – a requirement to unlock the huge potential of Mathematica for a variety of applications.

Computational Financial Mathematics using MATHEMATICA®

Автор: Srdjan Stojanovic
Название: Computational Financial Mathematics using MATHEMATICA®
ISBN: 146126586X ISBN-13(EAN): 9781461265863
Издательство: Springer
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Цена: 11878.00 р.
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Описание:

Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading software industry. Mathematical advances have been made both analytically and numerically in finding practical solutions.

This book provides a comprehensive overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte-- Carlo. Nowadays, only good personal computers are required to handle the symbolic and numerical methods that are developed in this book.

Key features: * No previous knowledge of Mathematica programming is required * The symbolic, numeric, data management and graphic capabilities of Mathematica are fully utilized * Monte--Carlo solutions of scalar and multivariable SDEs are developed and utilized heavily in discussing trading issues such as Black--Scholes hedging * Black--Scholes and Dupire PDEs are solved symbolically and numerically * Fast numerical solutions to free boundary problems with details of their Mathematica realizations are provided * Comprehensive study of optimal portfolio diversification, including an original theory of optimal portfolio hedging under non-Log-Normal asset price dynamics is presented

The book is designed for the academic community of instructors and students, and most importantly, will meet the everyday trading needs of quantitatively inclined professional and individual investors.

Computational Economics and Finance

Автор: Hal R. Varian
Название: Computational Economics and Finance
ISBN: 1461275105 ISBN-13(EAN): 9781461275107
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book/software package divulges the combined knowledge of a whole international community of Mathematica users - from the fields of economics, finance, investments, quantitative business and operations research.


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