This course 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) ...

Many sequential decision problems can be formulated as Markov decision processes (MDPs) where the optimal value function (or cost-to-go function) can be shown to satisfy a monotone structure in some ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

Recently, the 2025 RAICOM Robotics Developer Competition successfully concluded. Students from Qingdao Agricultural ...

World Finals held in Baku, Azerbaijan, Google's Gemini 2.5 Deep Think artificial intelligence system achieved a historic breakthrough. In this premier competition that brought together 139 top ...

SAE International Journal of Electrified Vehicles, Vol. 10, No. 1 (2021), pp. 19-32 (14 pages) In this article, an integrated “dual-motor automated mechanical transmission” configuration was proposed ...

After a mathematics win in July, Gemini 2.5 Deep Think has now scored a gold-medal level performance in competitive coding.