In the commonly used genome sequencing pipelines, dynamic programming (DP) algorithms are widely used, including read alignment and variant calling in reference-guided alignment, layout and polishing ...

This paper proposes a novel dynamic robust control allocation algorithm based on second-order cone programming (SOCP) for tandem-wing UAV, with a focus on its application in reconnaissance-and-strike ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

In this study, we presented a novel Data Layout strategy for optimizing CUDA programs, particularly focusing on dynamic programming algorithms for chained matrix multiplication. By restructuring ...

In the euclidean traveling-salesman problem, we are given a set of n points in the plane, and we wish to find the shortest closed tour that connects all n points.Figure 15.11(a) shows the solution to ...

We will learn some divide and conquer algorithms for Integer Multiplication (Karatsuba’s Algorithm), Matrix Multiplication (Strassen’s Algorithm), Fast Fourier Transforms (FFTs), and Finding Closest ...

The second subfield thinks on a smaller scale. Soon after Strassen’s work, the Israeli American computer scientist Shmuel Winograd showed that Strassen had reached a theoretical limit: It’s not ...

The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of machine learning’s most fundamental tasks? Today, in a paper published in Nature, DeepMind ...