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 ...

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 ...

Basic knowledge of Python programming ... algorithm design techniques: Lists, Stacks, Queues, Hashing. Breadth-first search, Depth-first search, Prim's algorithm, Dijkstra's algorithm, Maximum Flow.

We study the joint assortment planning and inventory management problem, where stock-out events elicit dynamic substitution effects ... increasing failure rate property. Our algorithm relies on a ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

The algorithm uses a greedy algorithm paradigm that aims to find optimal choices at each stage. In this study the algorithm works by efficiently selecting a set of influential users, who can be ...

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 ...

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...