In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Abstract: Conventional CANDECOMP/PARAFAC decomposition (CPD) and Tucker decomposition (TD) have been extensively used in bistatic multiple-input multiple-output (MIMO) radars for angle estimation.

Abstract: Due to the powerful signal decomposition performance, variational mode decomposition (VMD) is popularly used in numerous fields. Multiparameter optimization has always been the focus of VMD ...