Network Flow vs Greedy Algorithms

Developers should learn network flow for solving optimization problems in areas such as transportation logistics (e meets developers should learn greedy algorithms for solving optimization problems where speed and simplicity are prioritized, such as in scheduling, graph algorithms (e. Here's our take.

Network Flow

Nice Pick

Developers should learn network flow for solving optimization problems in areas such as transportation logistics (e

Pros

• g
• Related to: graph-theory, algorithms

Cons

• Specific tradeoffs depend on your use case

Greedy Algorithms

Developers should learn greedy algorithms for solving optimization problems where speed and simplicity are prioritized, such as in scheduling, graph algorithms (e

Pros

• g
• Related to: dynamic-programming, divide-and-conquer

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Network Flow if: You want g and can live with specific tradeoffs depend on your use case.

Use Greedy Algorithms if: You prioritize g over what Network Flow offers.

The Bottom Line

Network Flow wins

Developers should learn network flow for solving optimization problems in areas such as transportation logistics (e