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0.1 (xxxx.xx.xx)

  • Standard problems:

    • Basis pursuit denoising
    • Dantzig selector
    • l1-regularized least squares
    • LASSO
    • Non-negative least squares
    • Square-root LASSO
    • Zero-constrained least squares
  • Optimization algorithms:

    • Proximal gradient
    • Accelerated proximal gradient
    • Alternating direction method of multipliers (ADMM)
    • Linearized ADMM
    • Primal-dual hybrid gradient (PDHG)