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A Primer for Financial Engineering, Ali N. Akansu


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Цена: 8757.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Ali N. Akansu
Название:  A Primer for Financial Engineering
Перевод названия: Али Акансу: Введение в финансовые разработки
ISBN: 9780128015612
Издательство: Elsevier Science
Классификация:
ISBN-10: 0128015616
Обложка/Формат: Hardback
Страницы: 150
Вес: 0.28 кг.
Дата издания: 25.03.2015
Язык: English
Размер: 154 x 229 x 10
Подзаголовок: Financial signal processing and electronic trading
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: This book bridges the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Please visit the companion website on http://booksite.elsevier.com/9780128015612/


Mathematical Models in Natural Science and Engineering / An Example-Based Approach

Автор: Neimark Juri I., Kogan M.M., Gloumov V.
Название: Mathematical Models in Natural Science and Engineering / An Example-Based Approach
ISBN: 3540436804 ISBN-13(EAN): 9783540436805
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book helps the reader become familiar with various mathematical models for mechanical, electrical, physical, atronomical, chemical, biological, ecological, cybernetical and other systems and processes. The models examined are evolutionary models, i.e. the models of time-varying processes known as dynamic systems, such as fluid flow, biological processes, oscillations in mechanical and electromagnetic systems, and social systems. The book shows readers how to identify appropriate situations for modelling, how to address difficulties in creating models, and how to learn what mathematics teaches us about the modelling of dynamical phenomena in our surrounding world. It is interesting for a wide spectrum of readers, students of natural science and engineering, and also for researchers in these fields.


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