# Greedy Algorithms

This lesson introduces the greedy problem-solving technique.

## We'll cover the following

## Greedy method

Greedy is an **algorithmic paradigm** that builds up a solution, piece by piece. This means it chooses the next piece that offers the most **obvious** and **immediate benefit**. A Greedy algorithm, as the name implies, always makes the choice that seems to be the best at the time. It makes a *locally-optimal* choice in the hope that it will lead to a *globally optimal* solution.

If you have a problem where the locally-optimal choice leads to a global solution, the best fit is the Greedy technique.

The Greedy method can solve a problem that satisfies the below-mentioned properties:

**Greedy choice property:**A global optimum can be arrived at by selecting a local optimum.**Optimal substructure:**An optimal solution to the complete problem contains an optimal solution to subproblems.

Greedy algorithms work by *recursively* constructing a set of pieces from the smallest possible constituent parts.

### Example: find the largest path

**Recursion** is an approach to problem-solving in which the solution to a particular problem depends on solutions to smaller instances of the same problem.

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