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

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      Permanent link:
      https://www.ias.ac.in/article/fulltext/pram/028/02/0097-0107

    • 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

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