# PCG Random Number Generation, C++ Edition [PCG-Random website]: http://www.pcg-random.org This code provides an implementation of the PCG family of random number generators, which are fast, statistically excellent, and offer a number of useful features. Full details can be found at the [PCG-Random website]. This version of the code provides many family members -- if you just want one simple generator, you may prefer the minimal C version of the library. There are two kinds of generator, normal generators and extended generators. Extended generators provide *k* dimensional equidistribution and can perform party tricks, but generally speaking most people only need the normal generators. There are two ways to access the generators, using a convenience typedef or by using the underlying templates directly (similar to C++11's `std::mt19937` typedef vs its `std::mersenne_twister_engine` template). For most users, the convenience typedef is what you want, and probably you're fine with `pcg32` for 32-bit numbers. If you want 64-bit numbers, either use `pcg64` (or, if you're on a 32-bit system, making 64 bits from two calls to `pcg32_k2` may be faster). ## Documentation and Examples Visit [PCG-Random website] for information on how to use this library, or look at the sample code in the `sample` directory -- hopefully it should be fairly self explanatory. ## Building The code is written in C++11, as an include-only library (i.e., there is nothing you need to build). There are some provided demo programs and tests however. On a Unix-style system (e.g., Linux, Mac OS X) you should be able to just type type make To build the demo programs. ## Testing Run make test ## Directory Structure The directories are arranged as follows: * `include` -- contains `pcg_random.hpp` and supporting include files * `test-high` -- test code for the high-level API where the functions have shorter, less scary-looking names. * `sample` -- sample code, some similar to the code in `test-high` but more human readable, some other examples too