Combining mathematical finance with C++ and object-oriented programming (00P), M. Joshi demonstrates the relevance and use of OOP in financial mathematics by describing how to use price derivatives to obtain reusable and extensible code. A large part of the book is devoted to designing reusable components which are then combined to build a Monte Carlo pricer for exotic equity derivatives. Readers knowing the basics of C++ and mathematical finance, but are unclear how to use OOP to implement models, will welcome this analysis. Это и многое другое вы найдете в книге C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk) (Mark Joshi, Mark Broadie, Sam Howison, Neil Johnson, George Papanicolaou)