
Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics
by: Carlos Oliveira (Author)
Publisher:
Edition: 2nd ed.
Publication Date: 2021/4/2
Language: English
Print Length: 532 pages
ISBN-10: 1484268334
ISBN-13: 9781484268339
Book Description
Apply C++ to programming problems in the financial industry using this hands-on book, updated for C++20. It explains those aspects of the language that are more frequently used in writing financial software, including the Standard Template Library (STL), templates, and various numerical libraries. Practical C++20 Financial Programming also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. What You Will LearnCover aspects of C++ especially relevant to financial programmingWrite working solutions to commonly encountered problems in finance Design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other librariesWho This Book Is ForThose who are new to programming for financial applications using C++, but should have some previous experience with C++.
About the Author
Apply C++ to programming problems in the financial industry using this hands-on book, updated for C++20. It explains those aspects of the language that are more frequently used in writing financial software, including the Standard Template Library (STL), templates, and various numerical libraries. Practical C++20 Financial Programming also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. What You Will LearnCover aspects of C++ especially relevant to financial programmingWrite working solutions to commonly encountered problems in finance Design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other librariesWho This Book Is ForThose who are new to programming for financial applications using C++, but should have some previous experience with C++. Read more
Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics
未经允许不得转载:电子书百科大全 » Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics
相关推荐
Large Deviations (Courant Lecture Notes)
Derivative-Free and Blackbox Optimization Second Edition 2026 Edition
Integral Equations and Their Applications
Operators, Inequalities and Approximation: Theory and Applications (Industrial and Applied Mathematics)
Mathematical Programming And Game Theory For Decision Making (Statistical Science and Interdisciplinary Research)
Wavelets Theory and Its Applications (Forum for Interdisciplinary Mathematics)
A Course in Game Theory
Real and Complex Analysis: Volume 1
电子书百科大全
评论前必须登录!
立即登录 注册