| Image | Voter | Winner | Loser | Reason |
|---|
 | Klaus Teuber | Dynamic Programming | A* Search | Dynamic Programming is like building an epic settlement in Catan: it takes time and patience, but it's incredibly efficient and powerful for tackling complex problems with overlapping subproblems. |
 | Richard P Feynman | Dynamic Programming | Kruskal's Algorithm | Dynamic programming is like having a toolbox for tackling a wide range of problems, while Kruskal's Algorithm is just a cool tool for Minimum Spanning Trees. |
 | Neal Stephenson | Dynamic Programming | Breadth-First Search | Dynamic Programming is like having a whole bag of tricks for solving problems efficiently by breaking them down, whereas BFS is more like wandering around with a flashlight, hoping you'll stumble on the solution. |
 | Tim Berners-Lee | Dynamic Programming | Prim's Algorithm | Dynamic Programming is like a Swiss Army knife, tackling a wide range of problems with its versatile optimization, while Prim's is more like a specialized tool. |
 | Nikola Tesla | Dynamic Programming | Dijkstra's Algorithm | Dynamic programming is like having a secret cheat code for solving a whole bunch of problems efficiently, while Dijkstra's is just a cool route planner. |
 | Guglielmo Marconi | Dynamic Programming | Kruskal's Algorithm | Dynamic Programming is like a Swiss Army knife for solving a variety of problems beyond just finding minimum spanning trees, making it more versatile in a nerd's toolkit. |
 | Louis Pasteur | Dynamic Programming | Binary Search | Dynamic Programming is like the scientific method, solving problems step-by-step and building on past discoveries, which I find quite magnifique! |
 | Guido van Rossum | Dynamic Programming | Merge Sort | Dynamic Programming is like the Swiss Army knife of algorithms, solving a variety of complex problems beyond just sorting, so it takes the crown for versatility. |
| Richard P Feynman | Dynamic Programming | Breadth-First Search | Dynamic Programming is like having a superpower to optimize and tackle problems with overlapping subproblems, it's just so darn efficient! |
 | Ada Lovelace | Dynamic Programming | Kruskal's Algorithm | Dynamic Programming is like a Swiss Army knife, super versatile and handy for a bunch of problems, whereas Kruskal's is more of a one-trick pony for Minimum Spanning Trees. |
 | Greg Brockman | Dynamic Programming | Merge Sort | Dynamic Programming is like having a cheat sheet for complex problems, while Merge Sort is just about sorting stuff. |
 | George Orwell | Dynamic Programming | Bellman-Ford | In the grand dystopia of algorithms, dynamic programming is like a cunning mind, solving problems by breaking them into subproblems and conquering each with relentless efficiency. |
 | Pliny the Elder | Dynamic Programming | Quick Sort | Dynamic Programming is like a Swiss Army knife; it solves a bunch of complex problems efficiently, while Quick Sort is just one killer app. |
 | Charles Babbage | Dynamic Programming | Bellman-Ford | Dynamic programming is the real MVP for solving a wide range of problems efficiently, not just shortest paths like Bellman-Ford. |
 | Cicero | Dynamic Programming | Prim's Algorithm | Dynamic Programming is like the Swiss Army knife of algorithms, solving a wide range of problems with finesse, whereas Prim's is more of a one-trick pony for minimum spanning trees. |
 | Albert Einstein | Dynamic Programming | Quick Sort | Dynamic Programming is like a Swiss Army knife for problems with overlapping subproblems and optimal substructure; it's just more versatile than Quick Sort. |
 | Copernicus | Dynamic Programming | Quick Sort | Dynamic Programming's the real MVP 'cause it can tackle a wider range of complex problems beyond just sorting, making it super versatile! |
 | Professor Farnsworth | Dynamic Programming | Dijkstra's Algorithm | Oh my, while Dijkstra's is nifty for shortest paths, Dynamic Programming is the Swiss Army knife of algorithms! |
| Copernicus | Dynamic Programming | Dijkstra's Algorithm | Dynamic Programming is like a swiss army knife—it handles a bunch of different problems, not just shortest path stuff like Dijkstra's. |
 | Linus Torvalds | Dynamic Programming | Quick Sort | Dynamic programming is like the Swiss Army knife of algorithms, it’s versatile as hell and can solve a whole bunch of complex problems more efficiently. |
 | Alex Trebek | Dynamic Programming | Binary Search | Dynamic Programming is the heavy-lifting powerhouse of solving complex problems with overlapping subproblems, while Binary Search is like a one-trick pony for sorted arrays. |
 | Carl Sagan | Dynamic Programming | Merge Sort | Dynamic Programming is like the cosmic dance of algorithms, optimizing solutions by remembering the past to guide the future. |
 | Socrates | Dynamic Programming | Dijkstra's Algorithm | Dynamic Programming is like the Swiss Army Knife of algorithms, tackling a wider range of problems with its versatility, unlike Dijkstra who's just about finding the shortest path. |
| Guglielmo Marconi | Dynamic Programming | A* Search | Dynamic Programming is my choice because it elegantly breaks down complex problems into simpler subproblems, which feels like my approach to understanding and innovating wireless communication. |
 | John von Neumann | Dynamic Programming | Kruskal's Algorithm | Dynamic Programming is the Swiss army knife of computer science, tackling a wide range of problems with finesse. |
 | George Washington Carver | Dynamic Programming | Binary Search | Dynamic Programming dives deep like a peanut discovering limitless ways to optimize complex problems, while Binary Search is a straight-up efficient hunter for sorted data. |
 | Andy Weir | Dynamic Programming | Breadth-First Search | Dynamic Programming is like my Swiss Army knife for optimization problems, turning complex puzzles into manageable pieces. |
| Andy Weir | Dynamic Programming | Dijkstra's Algorithm | Dynamic Programming is like the Swiss Army knife of algorithms, tackling a broader range of problems with that awesome optimal substructure vibe. |