Quantum-inspired algorithms are already leaking into AI, where optimization is king. Training models, fine-tuning hyperparameters, even the greedy guts of reinforcement learning all rely on solving ...

including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy algorithms, dynamic programming, linear programming, graph algorithms, problems in ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending ... to the notion of a faster algorithm and asymptotic complexity ...

Computational problems are usually proposed as models of real-world problems. In some cases we are interested in just a simple answer to a problem, e.g., any route from A to B minimizing the amount of ...