mlmc
stable
  • MLMC
    • Installation
  • Tutorials
    • Sampler creation
    • Samples scheduling
      • 1. Prescribe the exact number of samples
      • 2. Prescribe a target variance
    • Quantity tutorial
      • Mean estimates
      • Estimate moments and covariance matrix
      • Quantity selection
      • Binary operations
      • NumPy universal functions
      • Quantity selection by conditions
    • Results postprocessing
      • Probability density function approximation
  • MLMC package
mlmc
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Contents¶

  • MLMC
    • Installation
  • Tutorials
    • Sampler creation
    • Samples scheduling
    • Quantity tutorial
    • Results postprocessing
  • MLMC package

© Copyright 2022, Jan Březina, Martin Špetlík Revision bd402379.

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