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Rimu.jl
  • Guide
  • Examples
    • 1D Bose-Hubbard Model
    • Rimu with MPI
    • Calculating observables
    • Exact diagonalisation
    • Degenerate perturbation theory in a harmonic oscillator basis
  • User documentation
    • StatsTools
    • Using MPI
  • Developer documentation
    • Interfaces
    • Hamiltonians
    • Dict vectors
    • BitString addresses
    • Stochastic styles
    • RMPI
    • I/O
    • Random numbers
      • Reproducibility
    • Documentation generation
    • Code testing
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  • Random numbers
  • Random numbers
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Random numbers in Rimu

Rimu uses Julia's built-in random number generator, which currently defaults to Xoshiro256++.

Reproducibility

If you want FCIQMC runs to be reproducible, make sure to seed the RNG with Random.seed!.

MPI-distributed runs can also be made reproducible by seeding the RNG with Rimu.RMPI.mpi_seed!.

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This document was generated with Documenter.jl version 1.2.1 on Thursday 18 January 2024. Using Julia version 1.7.3.