• Implementation and comparative study of random sequences for nonlinear least square data fitting

    • Fulltext


        Click here to view fulltext PDF

      Permanent link:

    • Keywords


      Least square data fitting; random search; quasi-random sequences; pseudorandom sequences; global optimization; Gaussian detector response

    • Abstract


      A numerical study of nonlinear least square data fitting using random numbers from the congruential generator and several quasi-random generators is presented. The results indicate that at least up to five dimensions some of the quasi-random sequences yield better accuracy than the congruential pseudo-random sequence. Some recommendations for selecting the generators of quasi-random sequences are also given.

    • Author Affiliations


      Tapas Bandyopadhyay1 P K Sarkar

      1. Health Physics Unit, Variable Energy Cyclotron Centre, I/AF Bidhan Nagar, Calcutta - 700 064, India
    • Dates

  • Pramana – Journal of Physics | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

© 2022-2023 Indian Academy of Sciences, Bengaluru.