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Found 4 papers, 2 papers with code
Optimization Algorithm Design via Electric Circuits
We present a novel methodology for convex optimization algorithm design using ideas from electric RLC circuits.
PV Fleet Modeling via Smooth Periodic Gaussian Copula
The proposed method, based on a novel approach for fitting a smooth, periodic copula transform to data, captures many aspects of the data such as diurnal variation in the distribution of power output, dependencies among different PV systems, and dependencies across time.
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
Decision making algorithms are used in a multitude of different applications.
Signal Decomposition Using Masked Proximal Operators
Summarizing and clarifying prior results, we give two distributed optimization methods for computing the decomposition, which find the optimal decomposition when the component class loss functions are convex, and are good heuristics when they are not.
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