Mkl-random

Update description for Pypi package installation

Added `examples/` folder provided an example of parallel Monte-Carlo estimation of a probability of a certain event.

Added support for ARS5 counter-based basic random number generator available in MKL, see
https://software.intel.com/content/www/us/en/develop/documentation/onemkl-vsnotes/top/testing-of-basic-random-number-generators/basic-random-generator-properties-and-testing-results/ars5.html

This is a bug fix release, including 17 and 18.

The default `brng` keyword setting of `RandomState.seed` changed from `MT19937` to `None`, meaning reuse the `brng` specified to the constructor, per 10

Minor bug-fix release.

Updated initialization script allowing `import mkl_random` to execute without errors with NumPy 1.18

1. Added support (9), for [non-deterministic](https://software.intel.com/en-us/mkl-vsnotes-basic-generators) basic random number generator, based on [RDRAND](https://en.wikipedia.org/wiki/RdRand) hardware instruction.

2. Sampling from multinomial distribution now uses MKL's own `viRngMultinomial`, rather than using `viRngBinomial` to sample from the condition tower.