Tutorials

This section provides step-by-step tutorials demonstrating how to use the mlmc package.

Each tutorial builds upon the previous one — starting from sampler creation, through sample scheduling and quantity handling, to full postprocessing and probability density estimation.

• Sampler Creation
• Samples Scheduling
• Quantity Tutorial
• Results Postprocessing

Additional Examples

You can find more advanced and domain-specific examples (e.g., stochastic simulations or PDE-based problems) in:

examples.shooting

These examples demonstrate how to integrate MLMC with real-world simulation workflows.