Question about future support for differentiable optimization in YALMIP

[Andy]

Hi Johan Löfberg,

Thank you for developing YALMIP. I would like to ask whether you have any plans to support differentiable optimization in the future, similar to cvxpylayers in Python, so that optimization models can be embedded into a backpropagation pipeline in MATLAB.

This would be very useful for combining optimization and learning-based methods. I would be very interested in such a feature.

Thank you.