numpy.random.MT19937.jumped¶
method
- random.MT19937.jumped(jumps=1)¶
Returns a new bit generator with the state jumped
The state of the returned big generator is jumped as-if 2**(128 * jumps) random numbers have been generated.
- Parameters
- jumpsinteger, positive
Number of times to jump the state of the bit generator returned
- Returns
- bit_generatorMT19937
New instance of generator jumped iter times
Notes
The jump step is computed using a modified version of Matsumoto’s implementation of Horner’s method. The step polynomial is precomputed to perform 2**128 steps. The jumped state has been verified to match the state produced using Matsumoto’s original code.
References
- 1
Matsumoto, M, Generating multiple disjoint streams of pseudorandom number sequences. Accessed on: May 6, 2020. http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/JUMP/
- 2
Hiroshi Haramoto, Makoto Matsumoto, Takuji Nishimura, François Panneton, Pierre L’Ecuyer, “Efficient Jump Ahead for F2-Linear Random Number Generators”, INFORMS JOURNAL ON COMPUTING, Vol. 20, No. 3, Summer 2008, pp. 385-390.