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DPC2019: Dynamic programming - 101 - Tobias Nyholm
Learn the basics of dynamic programming and how to apply it to solve complex problems in this informative talk, featuring examples using Fibonacci numbers, Dijkstra's algorithm, and graph visualization.
- The talk covers the basics of dynamic programming and its application to solve complex problems.
- Divide and conquer is a strategy used to solve problems, where a problem is broken down into smaller subproblems.
- Dynamic programming is a method to solve problems by breaking them down into smaller overlapping subproblems.
- The speaker uses Fibonacci numbers as an example to illustrate the concept of dynamic programming.
- Dijkstra’s algorithm is used to find the shortest path between two points in a graph.
- Fibonacci numbers are used to show how dynamic programming can be applied to solve a problem.
- The speaker uses a graph to show how dynamic programming can be applied to solve a problem.
- The conference talk is about the basics of dynamic programming and its application to solve complex problems.
- The speaker tries to show how dynamic programming can be applied to solve a problem in a simple and easy way.
- The speaker also talks about NP problems and how they are difficult to solve.
- The speaker uses different examples to illustrate the concept of dynamic programming.
- The speaker also talks about the importance of using a strategy to solve problems.
- The speaker tries to show how dynamic programming can be used to solve a problem in a more efficient way.
- The speaker also talks about the importance of breaking down a problem into smaller subproblems.
- The speaker uses a graph to show how dynamic programming can be applied to solve a problem.
- The speaker tries to show how dynamic programming can be used to solve a problem in a more efficient way.
- The speaker also talks about the importance of using a strategy to solve problems.
- The speaker tries to show how dynamic programming can be used to solve a problem in a more efficient way.
- The speaker also talks about the importance of breaking down a problem into smaller subproblems.
- The speaker uses a graph to show how dynamic programming can be applied to solve a problem.
- The speaker tries to show how dynamic programming can be used to solve a problem in a more efficient way.
- The speaker also talks about the importance of using a strategy to solve problems.
- The speaker tries to show how dynamic programming can be used to solve a problem in a more efficient way.
- The speaker also talks about the importance of breaking down a problem into smaller subproblems.
- The speaker uses a graph to show how dynamic programming can be applied