We propose GenDP, a general-purpose acceleration framework for dynamic programming algorithms. We design DPAx, an accelerator with programmable compute units, specialized dataflow, and flexible ...

The application of techniques like temporal decomposition, which separates the problem temporally, and dynamic programming algorithms, which efficiently solve problems by breaking them down into ...

Dynamic programming is one of the most challenging algorithm design techniques for computer programmers. Students frequently struggle with dynamic programming algorithms in Data Structures and ...

In a recent preprint article by [Paul Bilokon] and [Burak Gunduz] of the Imperial College London the focus is specifically on low-latency patterns that are relevant for applications such as high ...

An effective surrogate model assisted algorithm for multi-objective optimization: application to wind farm layout design ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .