The current leading algorithms for both convolutional sparse coding and dictionary learning are based on variable splitting and Augmented Lagrangian methods. The dictionary learning algorithms ...

3.3 Combining subproblem solutions After the problem is divided into subproblems using the distance matrix, one solves each subproblem as a TSP. However, combining the subproblems' solutions is ...

A prompt engineering technique known as least-to-most prompting is vital when using generative AI. Here is what you need to know about the keystone approach.

Learn how to identify and formulate subproblems and optimal substructure for dynamic programming problems, using key steps and examples.

An alternative strategy to solve the subproblems of the Method of Moving Asymptotes (MMA) is presented, based on a trust-region scheme applied to the dual of the MMA subproblem. At each iteration, the ...