Ultrasounds for Biological Applications and Materials Science

Gradient descent algorithms for Inverse Problems

Gradient descent algorithm are currently used to solve inverse problems and to optimize transducers configuration.

Two main algorithms are implemented:

Systematic Gradient Descent (SysGD)

Stochastic Gradient Descent (StoGD).

An introduction to these algorithms and a basic implementation built from scratch in Python is available in the material presented at the PyData Madrid Conference (8-10 APril 2016). Talk, code and ipython notebook are available at the GitHub repo:

PyData Madrid


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