000			02080nam a22002177a 4500
005			20250409144824.0
008			250211b ||||| |||| 00| 0 eng d
020			_a9781484285435
040			_cAL
041			_aeng
082			_223 _a005.262 _bOLIP
100			_aCarlos Oliveira _9198868
245			_aPractical C++20 financial programming _b: problem solving for quantitative finance financial engineering business and economics
250			_a2nd ed.
260			_aNew York _bApress _c2022
300			_axxiii,508p _bPB _c25x18cm.
365			_2General _b6391 _c₹1759.20 _d₹ _a₹2199.00 _e20% _f6/02/2025
520			_aApply 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.
650			_2Personal Computers _aComputer Science _9198869
942			_2ddc _cBK
999			_c233743 _d233743