This repository contains the experimental code and raw results used in the study: "Time, Space and Energy Complexity Analysis of Sorting and Matrix Multiplication Algorithms" The project evaluates ...

DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and ...

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

Abstract: Aiming at the fault localization challenges brought by distributed PV power access, this paper proposes a hybrid optimal localization method combining the improved matrix algorithm with the ...