Dynamic Programming you own this product

prerequisites
arrays and slices • passing functions to other functions
skills learned
exhaustive search • backtracking • branch and bound • complex dynamic programming
Rod Stephens
1 week · 4-6 hours per week · INTERMEDIATE
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When your house is on fire, and you need to save your priceless art in a panic room, what are you going to do? Write a Rust program to solve the “knapsack problem” of course! In this liveProject, you’ll tackle this problem—one of the more challenging ones in computer science. The knapsack problem is known for its difficulty, as its possible solutions grow exponentially as the number of items increases. You’ll work with different methods to solve the problem, including recursion and dynamic programming techniques.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Rod Stephens

Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects.

prerequisites

This liveProject is for Rust programmers who want to flex their skills. You should know the basics of Rust, but you don’t need any advanced knowledge or capabilities.

TOOLS
  • Intermediate Rust
TECHNIQUES
  • Rust functions and vectors

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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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