Researcher Database

HARAMOTO, Hiroshi

FacultyFaculty of Education Mathematics Education
PositionAssociate Professor
Last Updated :2019/09/06

Researcher Profile and Settings

Profile and Settings

Name

  • Name

    HARAMOTO, Hiroshi

Education, Etc.

Education

  • 2008

その他基本情報

Academic & Professional Experience

  • 2011/04 - Today
  • 2008/10 - 2011/03
  • 2008/04 - 2008/09

Research Activities

Research Areas, Etc.

Research Areas

  • Mathematics, General mathematics (including Probability theory/Statistical mathematics)

Research Interests

  • Random Number Generation

Book, papers, etc

Published Papers

  • Checking the quality of approximation of p-values in statistical tests for random number generators by using a three-level test., Hiroshi Haramoto,Makoto Matsumoto, Mathematics and Computers in Simulation, 2019, [Refereed], 0378-4754
  • A Method to Compute an Appropriate Sample Size of a Two-Level Test for the NIST Test Suite, Hiroshi Haramoto, Makoto Matsumoto, Monte Carlo and quasi-Monte Carlo Methods 2016, 2018/08, [Refereed], 2194-1009
  • A non-empirical test on the second to the sixth least significant bits of pseudorandom number generators, Haramoto Hiroshi, Makoto Matsumoto, Takuji Nishimura, Yuki Otsuka, Monte Carlo and quasi-Monte Carlo methods 2012, 2013, [Refereed], 2194-1009, 10.1007/978-3-642-41095-6_19
  • Automation of Statistical Tests on Randomness to Obtain Clearer Conclusion, Haramoto Hiroshi, MONTE CARLO AND QUASI-MONTE CARLO METHODS 2008, 2009, [Refereed], 10.1007/978-3-642-04107-5_26
  • A Fast Jump Ahead Algorithm for Linear Recurrences in a Polynomial Space, H. Haramoto, M. Matsumoto, P. L'Ecuyer, Sequences ant Their Applications (LNCS 5203), 2008, [Refereed], 0302-9743, 10.1007/978-3-540-85912-3_26
  • A $p$-adic algorithm to compute the inverse of integer matrices, H. Haramoto, M. Matsumoto, Journal of Computational and Applied Mathematics, 2009, [Refereed], 0377-0427, 10.1016/j.cam.2008.07.044
  • Efficient jump ahead for F(2)-linear random number generators, Haramoto Hiroshi, Matsumoto Makoto, Nishimura Takuji, Panneton Francois, L'Ecuyer Pierre, INFORMS JOURNAL ON COMPUTING, 2008, [Refereed], 1091-9856, 10.1287/ijoc.1070.0251
  • Pseudorandom Number Generation: Impossibility and Compromise, M. Matsumoto, M. Saito, H.Haramoto, T. Nishimura, Journal of Universal Computer Science, 2006, [Refereed], 0948-695X
  • Computing conditional probabilities for $F2$-linear pseudorandom bit generator by splitting Mac-Williams identity, H. Haramoto, M. Matsumoto, T. Nishimura, International Journal of Pure and Applied Mathematics, 2007, [Refereed], 1311-8080

Books etc

  • 2015, 9784864810340
  • 2015, 9784864810333
  • 2014, 9784864810227
  • 2014, 9784864810210
  • 2013, 9784864810043
  • 2013, 9784864810036
  • 2012, 9784901683975
  • 2012, 9784901683968

Conference Activities & Talks

  • 2019/09
  • A visible flaw of xorshift128+ generators, Hiroshi Hatamoto, Makoto Matsumoto, Mutsuo Saito, 12th International Conference on Monte Carlo Methods and Applications, 2019/07
  • Large sample sizes may result in erroneous rejection in statistical tests on randomness: a computational solution, Hiroshi Haramoto, 12th International Conference on Monte Carlo Methods and Applications, 2019/07
  • 2019/01
  • 2018/12
  • 2018/09
  • Testing the Reliability of Statistical Tests for Pseudorandom Number Generators, Hiroshi Haramoto, 13th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC2018), 2018/07
  • 2017/09
  • Testing soundness of statistical tests for random number generators by using a three-level test, Hiroshi Haramoto, 11th International Conference on Monte Carlo Methods and Applications (MCM 2017), 2017/07
  • 2016/09
  • A Method to Compute an Appropriate Sample Size of the Two-Level Test of NIST Test Suite for Frequency and Binary Matrix Rank Test, Hiroshi Haramoto, Twelveth International conference on Monte Carlo and quasi-Monte Carlo methods in scientific computing (MCQMC2016), 2016/08
  • 2016/06
  • 2015/09
  • A method to check soundness of statistical tests on randomness, Hiroshi Haramoto, 10th IMACS Seminar on Monte Carlo Methods (MCM2015), 2015/07
  • 2015/04, 招待有り
  • An approximation of the weight distribution of the n-th bits of pseudorandom number generators, Hiroshi Haramoto, Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC2014), 2014/04
  • 2012/09
  • 2012/09
  • A non-empirical test on the second to the sixth lowest bits of pseudorandom number generators, Hiroshi Haramoto, Workshop for Quasi-Monte Carlo and Pseudo Random Number Generation, 2012/06, 招待有り
  • A non-empirical test on the second to the sixth lowest bits of pseudorandom number generators, Hiroshi Haramoto, Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2012), 2012/02
  • A Fast Jump Ahead Algorithm for $\mathbb{F}_2$ Linear Recurrences in a Polynomial Space, Hiroshi Haramoto, Makoto Matsumoto, Pierre L'Ecuyer, The fifth Interna- tional Conference on Sequences and Their Applications, 2008/09
  • Automatization of Statistical Tests on Random- ness to Obtain Clearer Conclusion, Hiroshi Haramoto, Makoto Matsumoto, 8th International Confer- ence on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, 2008/07
  • A jumping method for linear pseu- dorandom number generator with huge state over the two-element field, H.Haramoto, F.Panneton, T.Nishimura, 7th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, 2006/08
  • Pulmonary Mersenne Twister pseudorandom number generator, M.Matsumoto, M.Saito, H.Haramoto, F.Panneton, T.Nishimura, 7th In- ternational Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, 2006/08
  • Hearty Twister: a new random number generator, H.Haramoto, M.Matsumoto, 5th IMACS Seminar on Monte Carlo Methods, 2005/05

Other Research Activities

Research Grants & Projects



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