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Computational Financial Mathematics using MATHEMATICA®, Srdjan Stojanovic


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Автор: Srdjan Stojanovic
Название:  Computational Financial Mathematics using MATHEMATICA®
ISBN: 9781461265863
Издательство: Springer
Классификация:


ISBN-10: 146126586X
Обложка/Формат: Paperback
Страницы: 481
Вес: 0.69 кг.
Дата издания: 17.05.2013
Язык: English
Издание: Softcover reprint of
Иллюстрации: Xi, 481 p.
Размер: 234 x 156 x 25
Читательская аудитория: Professional & vocational
Основная тема: Finance
Подзаголовок: Optimal Trading in Stocks and Options
Ссылка на Издательство: Link
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Поставляется из: Германии
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.




Functional Analysis in Computational Mathematics / An Introduction

Автор: Lebedev V.I.
Название: Functional Analysis in Computational Mathematics / An Introduction
ISBN: 0817638881 ISBN-13(EAN): 9780817638887
Издательство: Springer
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Цена: 10901.00 р.
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Описание: Presents the basics of functional analysis, as well as elements of variational equations (on the basis of bi-linear forms), including the Vishik-Lax-Milgram theorem and of generalized solutions of eliptic problems. Sobolev spaces and embedding theorems are introduced.

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 Ordinary Differential Equations with Mathematica®

Автор: Alfred Gray; Mike Mezzino; Mark Pinsky
Название: Introduction to Ordinary Differential Equations with Mathematica®
ISBN: 0387982329 ISBN-13(EAN): 9780387982328
Издательство: Springer
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Цена: 11173.00 р.
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Описание: The purpose of this companion volume to our text is to provide instructors (and eventu- ally students) with some additional information to ease the learning process while further documenting the implementations of Mathematica and ODE.

Financial Decision Making Using Computational Intelligence

Автор: Michael Doumpos; Constantin Zopounidis; Panos M. P
Название: Financial Decision Making Using Computational Intelligence
ISBN: 1489990089 ISBN-13(EAN): 9781489990082
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures.

Introduction To Computational Mathematics (2Nd Edition)

Автор: Yang Xin-She
Название: Introduction To Computational Mathematics (2Nd Edition)
ISBN: 9814635782 ISBN-13(EAN): 9789814635783
Издательство: World Scientific Publishing
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Цена: 8554.00 р.
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Описание:

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.

Introduction To Computational Mathematics (2Nd Edition)

Автор: Yang Xin-She
Название: Introduction To Computational Mathematics (2Nd Edition)
ISBN: 9814635774 ISBN-13(EAN): 9789814635776
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание:

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.

Computational mathematics, numerical analysis and applications

Название: Computational mathematics, numerical analysis and applications
ISBN: 3319496301 ISBN-13(EAN): 9783319496306
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

The first part of this volume gathers the lecture notes of the courses of the "XVII Escuela Hispano-Francesa," held in Gijon, Spain, in June 2016. Each chapter is devoted to an advanced topic and presents state-of-the-art research in a didactic and self-contained way. Young researchers will find a complete guide to beginning advanced work in fields such as High Performance Computing, Numerical Linear Algebra, Optimal Control of Partial Differential Equations and Quantum Mechanics Simulation, while experts in these areas will find a comprehensive reference guide, including some previously unpublished results, and teachers may find these chapters useful as textbooks in graduate courses.
The second part features the extended abstracts of selected research work presented by the students during the School. It highlights new results and applications in Computational Algebra, Fluid Mechanics, Chemical Kinetics and Biomedicine, among others, offering interested researchers a convenient reference guide to these latest advances.


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