Скачать или смотреть C++ Boost Libraries installed and working in Google Colab

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C++ Boost libraries
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 lauded 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 use programs implemented with Boost, one example includes Adobe Acrobat Reader. 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++.

The Edgeworth Binomial tree
The Edgeworth Binomial tree was programmed by Fabrice Rouah with Boost C++ libraries