Название: Numerical Methods and Optimization in Finance Автор: Manfred Gilli; Dietmar Maringer; Enrico Schumann Издательство: Academic Press Год: 2019 Формат: PDF Страниц: 640 Для сайта:Книгмир Размер: 19,6 Mb Язык: English
Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques.Numerical Methods and Optimization in Financepresents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance.
Numerical and Analytical Methods with MATLAB Название: Numerical and Analytical Methods with MATLAB Автор: William Bober, Chi-Tay Tsai, and Oren Masory Издательство: CRC Press Год: 2009 Формат:...
Practical Mathematical Optimization Название: Practical Mathematical Optimization Автор: Jan A Snyman, Daniel N Wilke Издательство: Springer International Publishing Год: 2018 Серия:...