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 ...

dynamic programming, graph algorithms, string processing, and algorithms for computational geometry. We will discuss how to use these techniques for solving real-world problems in C++. Most ...

Dynamic programming ... in refining dynamic programming approaches for RNA folding. Researchers have applied space–time tiling techniques to the classic Nussinov algorithm, achieving notable ...

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) . We will ...