cff-version: 1.2.0
message: >-
  If you use tklds in research or production work, cite the software version
  you used and the preferred 2026 research paper below.
title: "tklds: High-Dimensional Sobol' Sequences for Python"
type: software
version: 0.2.0
license: BSD-3-Clause
repository-code: "https://github.com/TENOKONDA/tklds"
url: "https://pypi.org/project/tklds/"
authors:
  - family-names: "Oliva Denis"
    given-names: "Andres"
    email: "andres@tenokonda.com"
    affiliation: "Tenokonda UK"
  - family-names: "Wheeldon"
    given-names: "James"
    email: "james@tenokonda.com"
    affiliation: "Tenokonda UK"
  - family-names: "Manyakin"
    given-names: "Ilya"
    email: "ilya@tenokonda.com"
    affiliation: "Tenokonda UK"
  - family-names: "Papaioannou"
    given-names: "Adrien"
    email: "adrien@tenokonda.com"
    affiliation: "Tenokonda UK"
keywords:
  - Sobol sequences
  - quasi-Monte Carlo
  - low-discrepancy sequences
  - direction numbers
  - numerical integration
  - scientific computing
preferred-citation:
  type: article
  title: >-
    Sobol Direction Numbers for Quasi-Monte Carlo Simulation: Construction,
    Pathwise Dependence Diagnostics, and Financial Pricing Benchmarks
  authors:
    - family-names: "Oliva Denis"
      given-names: "Andres"
    - family-names: "Wheeldon"
      given-names: "James"
    - family-names: "Manyakin"
      given-names: "Ilya"
    - family-names: "Papaioannou"
      given-names: "Adrien"
  year: 2026
  month: 4
  status: preprint
  url: "https://ssrn.com/abstract=7040539"
