@ARTICLE{Kumar_Bishoi_Susil_Xorshift_2017,
 author={Kumar Bishoi, Susil and Maharana, Surya Narayan},
 volume={vol. 29},
 number={No 1-2},
 journal={Theoretical and Applied Informatics},
 pages={1-13},
 howpublished={online},
 year={2017},
 publisher={Committee of Informatics of Polish Academy of Science},
 publisher={Institute of Theoretical and Applied Informatics of Polish Academy of Science},
 abstract={A class of Xorshift Random Number Generators (RNGs) are introduced by Marsaglia. We have proposed an algorithm which constructs a primitive Xorshift RNG from a given prim- itive polynomial. We also have shown a weakness present in those RNGs and suggested its solution. A separate algorithm also proposed which returns a full periodic Xorshift generator with desired number of Xorshift operations.},
 type={Article},
 title={Xorshift random number generators from primitive polynomials},
 URL={http://journals.pan.pl/Content/118539/PDF-MASTER/bishoi_Xorshift%20random%20number.pdf},
 keywords={random number generators, Xorshift generator, primitive polynomials, linear feed-back shift registers, multiple-recursive matrix method},
}