C++ Boost Libraries

C++ Boost Libraries and Edgeworth Binomial Trees

Boost libraries for C++ programming provides support for tasks and structures such as linear algebra, pseudorandom number generation, multithreading, image processing, regular expressions, and unit testing. Boost boosts productivity. Use of high-quality libraries like Boost speeds initial development, results in fewer bugs, reduces reinvention-of-the-wheel, and cuts long-term maintenance costs. And since Boost libraries tend to become de facto or de jure standards, many programmers are already familiar with them.

Ten of the Boost libraries are included in the C++ Standard Library's TR1, and so are slated for later full standardization. More Boost libraries are in the pipeline for TR2. Using Boost libraries gives an organization a head-start in adopting new technologies.

Many organization already use programs implemented with Boost, like Adobe Acrobat Reader 7.0. Boost libraries are intended to be widely useful, and usable across a broad spectrum of applications. For example, they are helpful for handling large numbers having range beyond the long long, long double data type (264) in C++. For some key benefits check out. The Edgeworth Binomial tree makes of skewness and kurtosis.