User Guide
==========

Comprehensive guide to understand and **PyDASA** for dimensional analysis.

Core Concepts
-------------

Learn the fundamentals of dimensional analysis and how **PyDASA** implements them.

* :doc:`frameworks` - Defining and using fundamental dimensional frameworks
* :doc:`variables` - Managing relevant variables across different workflows.
* :doc:`matrices` - Understanding and manipulating dimensional matrices representing your systems.
* :doc:`coefficients` - Resulting dimensionless coefficients and their interpretation.

Available Workflows
-------------------

These advanced analytic capabilities allow you to perform in-depth dimensional analysis in the form of worflows.

* :doc:`analysis` - Dimensional analysis workflow to solve the dimensional matrix representing your system or process.
* :doc:`sensitivity` - Sensitivity analysis to identify influential variables and parameters.
* :doc:`simulation` - Monte Carlo simulation to propagate uncertainties through dimensionless relationships.

.. toctree::
    :maxdepth: 1
    :hidden:

    frameworks
    variables
    matrices
    coefficients
    sensitivity
    analysis
    simulation