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 ...

It 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) .

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 ...

Researchers have applied space–time tiling techniques to the classic Nussinov algorithm, achieving notable improvements in parallel performance and scalability on multi-core architectures [1].

In particular, RNA folding – a classic application of dynamic programming – utilises recurrence relations to predict the most stable secondary structures based on base-pair interactions.