Learn what a divide and conquer algorithm is, how it works, and what are some examples and applications in computer science. Discover the advantages and disadvantages of this strategy.

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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 ...

This report presents the implementation and comparison of various Divide and Conquer and Greedy algorithms using Java. The purpose of this application is to provide a user-friendly interface for ...

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

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 ...