Greedy Algorithms Divide and Conquer Algorithms Project Overview This project simulates a matching algorithm for a fictional dating service called Maximal Electronic Dating Services (MEDS). Each ...

Divide and Conquer is an algorithmic paradigm in which the problem is solved using the Divide, Conquer, and Combine strategy. A typical Divide and Conquer algorithm solves a problem using following ...

Our algorithm employs a divide- and-conquer approach, where one leverages the correlation within the training examples to segment the dataset into clusters containing similar examples, and learn local ...

The variational quantum eigensolver (VQE) with shallow or constant-depth quantum circuits is one of the most pursued approaches in the noisy intermediate-scale quantum (NISQ) devices with incoherent ...

Study proposes a communication-efficient, divide and conquer algorithm that combines information from sub-machines using confidence distributions. The theoretical relationship between the number ...

These algorithms are also, by nature, parallelizable. Since most traditional algorithms are accurate, and the corresponding optimization problems are much simpler in small problems, our ...

We address the problem of learning a sparsifying synthesis dictionary over large datasets that occur in numerous signal and image processing applications, such as inpainting, super-resolution, etc. We ...