## Why Mersenne Twister is bad?

Fails some statistical tests, with as few as 45,000 numbers. Fails LinearComp Test of the TestU01 Crush and BigCrush batteries. Predictable — after 624 outputs, we can completely predict its output.

## What is the seed for random number generator?

When you use statistical software to generate random numbers, you usually have an option to specify a random number seed. A seed is a positive integer that initializes a random-number generator (technically, a pseudorandom-number generator). A seed enables you to create reproducible streams of random numbers.

**How random is the Mersenne Twister?**

A study found that the Mersenne Twister creates 64-bit floating point random numbers approximately twenty times faster than the hardware-implemented, processor-based RDRAND instruction set.

### Is Mersenne Twister cryptographically secure?

Mersenne Twister is not cryptographically secure. (MT is based on a linear recursion. Any pseudorandom number sequence generated by a linear recursion is insecure, since from sufficiently long subsequence of the outputs, one can predict the rest of the outputs.)

### What is mt19937?

mt19937 stands for mersenne twister with a long period of 219937 – 1 which means mt19937 produces a sequence of 32-bit integers that only repeats itself after 219937 – 1 number have been generated.

**Does R use Mersenne Twister?**

R has the ability to use a variety of random number generating algorithms or in its term RNG (random number generators). The default generator is Mersenne-Twister, developed by Makoto Matsumoto & Takuji Nishimura in 1997 with a cycle period of 219937-1.

## Does Matlab use Mersenne Twister?

1 (R14SP3), MATLAB® includes built-in support for the Mersenne Twister. TWISTER produces pseudo-random numbers using the Mersenne Twister algorithm by Nishimura and Matsumoto, and is an alternative to the built-in function RAND in MATLAB.

## What is mt19937_64?

A Mersenne Twister pseudo-random generator of 64-bit numbers with a state size of 19937 bits. It is an instantiation of the mersenne_twister_engine with the following template parameters: parameter. name.

**Does Python use Mersenne Twister?**

Python uses the Mersenne Twister as the core generator. It produces 53-bit precision floats and has a period of 2**19937-1. The underlying implementation in C is both fast and threadsafe. The Mersenne Twister is one of the most extensively tested random number generators in existence.

### Can a random seed be negative?

Random. seed[-1] can be negative, due to the representation of an unsigned integer by a signed integer. RNGkind returns a three-element character vector of the RNG, normal and sample kinds selected before the call, invisibly if either argument is not NULL .