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C++ for Financial Mathematics (Chapman and Hall/Crc Financial Mathematics Series) - Softcover

Buch 35 von 71: Chapman and Hall/CRC Financial Mathematics

Armstrong, John

 
9781032097213: C++ for Financial Mathematics (Chapman and Hall/Crc Financial Mathematics Series)

Inhaltsangabe

If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you.



C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price derivatives in C++ without unnecessary complexities or technicalities. It leads the reader step-by-step from programming novice to writing a sophisticated and flexible financial mathematics library. At every step, each new idea is motivated and illustrated with concrete financial examples.



As employers understand, there is more to programming than knowing a computer language. As well as covering the core language features of C++, this book teaches the skills needed to write truly high quality software. These include topics such as unit tests, debugging, design patterns and data structures.



The book teaches everything you need to know to solve realistic financial problems in C++. It can be used for self-study or as a textbook for an advanced undergraduate or master’s level course.

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Über die Autorin bzw. den Autor

John Armstrong is a Lecturer in financial mathematics, probability and statistics at King’s College London. He has 15 years experience in the financial industry working as a software architect. He co-founded Yolus and designed their innovative risk management system which was adopted by numerous major banks. He has also worked for ION Trading, Dresdner Kleinwort Wasserstein and was an executive director at Goldman Sachs.

Von der hinteren Coverseite

If you know a little bit about financial mathematics but don't yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price deriv

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