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Practical C++20 financial programmin...

Oliveira, Carlos.

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Practical C++20 financial programming = problem solving for quantitative finance, financial engineering, business, and economics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Practical C++20 financial programming/ by Carlos Oliveira.
其他題名:	problem solving for quantitative finance, financial engineering, business, and economics /
作者:	Oliveira, Carlos.
出版者:	Berkeley, CA :Apress : : 2021.,
面頁冊數:	xxiii, 508 p. :ill., digital ;24 cm.
內容註:	1. The Fixed-Income Market -- 2. The Equities Market -- 3. C++ Programming Techniques in Finance -- 4. Common Libraries for Financial Applications -- 5. Designing Numerical Classes -- 6. Plotting Financial Data -- 7. Linear Algebra -- 8. Interpolation -- 9. Calculating Roots of Equations -- 10. Numerical Integration -- 11. Solving ODEs and PDEs -- 12. Optimization -- 13. Asset and Portfolio Optimization -- 14. Monte Carlo Methods -- 15. Extending Financial Libraries -- 16. Using C++ with R and Maxima -- 17. Multithreading -- Appendix A. Features of C++20.
Contained By:	Springer Nature eBook
標題:	C++ (Computer program language) -
電子資源:	https://doi.org/10.1007/978-1-4842-6834-6
ISBN:	9781484268346

Practical C++20 financial programming = problem solving for quantitative finance, financial engineering, business, and economics /
Oliveira, Carlos.

Practical C++20 financial programmingproblem solving for quantitative finance, financial engineering, business, and economics /[electronic resource] :by Carlos Oliveira. - Second edition. - Berkeley, CA :Apress :2021. - xxiii, 508 p. :ill., digital ;24 cm.

1. The Fixed-Income Market -- 2. The Equities Market -- 3. C++ Programming Techniques in Finance -- 4. Common Libraries for Financial Applications -- 5. Designing Numerical Classes -- 6. Plotting Financial Data -- 7. Linear Algebra -- 8. Interpolation -- 9. Calculating Roots of Equations -- 10. Numerical Integration -- 11. Solving ODEs and PDEs -- 12. Optimization -- 13. Asset and Portfolio Optimization -- 14. Monte Carlo Methods -- 15. Extending Financial Libraries -- 16. Using C++ with R and Maxima -- 17. Multithreading -- Appendix A. Features of C++20.

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. You will: Cover aspects of C++ especially relevant to financial programming Write 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 libraries.

ISBN: 9781484268346

Standard No.: 10.1007/978-1-4842-6834-6doiSubjects--Topical Terms:

527229
C++ (Computer program language)

LC Class. No.: QA76.73.C153

Dewey Class. No.: 005.133

Practical C++20 financial programming = problem solving for quantitative finance, financial engineering, business, and economics /
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