A few months ago, I awoke to find a streak spanning the length of my kitchen wall that looked like it had been drawn there ...

The math of data structures helps us understand how different storage systems come with different trade-offs between ...

Quantum computers are coming. And when they arrive, they are going to upend the way we protect sensitive data. Unlike classical computers, quantum computers harness quantum mechanical effects — like ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Aiming at the problems of slow network convergence, poor reward convergence stability, and low path planning efficiency of traditional deep reinforcement learning algorithms, this paper proposes a ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

1 School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China. 2 School of Vocational Education, Tianjin University of Technology and Education, ...

Computational: We take random inputs, follow complex steps, and hope the output makes sense. And then blog about it. Computational: We take random inputs, follow complex steps, and hope the output ...