This repository contains the solution to the Activity Selection Problem using both Greedy and Dynamic Programming approaches. The Activity Selection Problem is a classic optimization problem that ...

Solving problems using a greedy approach is a popular method, either exactly or approximately. Famous examples include the coin change problem, the fractional knapsack problem, and the activity ...

Learn what greedy algorithms are, how they work, and what are some examples of optimization problems they can solve. Find out the pros and cons of using greedy algorithms.

The randomized group-greedy (RGG) method and its customized method for large-scale sensor selection problems are proposed. The randomized greedy sensor selection algorithm is applied straightforwardly ...

The Activity Selection Problem is a classic optimization problem in computer science and operations research. The goal is to select the maximum number of non-overlapping activities from a given set.