I'm a first-year computer science student, and as we come to the end of the year, we've learned quite a bit of C++ basics. Our final project involves creating a Finder class that takes pointers to objects, which are expected to have a "get rectangle" function returning their boundaries. The Finder class needs to handle adding, deleting, and updating these positions, and it must return pointers to objects that either fall inside or intersect with a specific rectangle, all in O(log n) time complexity based on the number of rectangles stored.
Here's the catch: I've read that achieving this may involve complex data structures like R-trees or quadtrees, which feels pretty overwhelming for us right now. We haven't received clear guidelines on how to approach this. Should I dive into learning one of these tree structures, or is there a simpler way to achieve the project's goals? Any advice would be greatly appreciated!
5 Answers
I think it’s actually a reasonable task! Final projects typically ramp up the complexity a bit. A lot of the challenge comes from time constraints, especially during competitive programming. Just take your time on it and research quadtrees; they should handle your requirements just fine. Remember, you might need O(n log n) to build the structures, but your lookups can be O(log n). Check out R-trees if you want to dive deeper, but don’t forget to test corner cases!
Looking at your assignment, it feels like it might be a bit much for your level. But then again, universities often push us to learn and adapt! Quadtrees could be simpler for you to implement compared to R-trees. Just remember to give yourself plenty of time to get it right.
This project does sound a bit advanced for first-year CS, but I've seen similar assignments before. Quadtrees could be a solid solution here. They're basically just binary trees but for 2-D data. If you've grasped binary trees, quadtrees shouldn't be too far off. Just make sure to start early and test your code as you go along!
Honestly, this assignment seems pretty straightforward after reading your explanation. Implementing a quadtree shouldn't take more than a few hours, especially if you've got some coding experience under your belt. I did a project like this that dealt with image compression using quadtrees, and we wrapped it up pretty quickly. Just make sure you build and test your implementation thoroughly!
Plot twist: This project is secretly the professor's take-home assignment for a job interview! Seriously though, it’s a tough ask for a first-year, but if you break it down step by step, I think you can handle it. Just take it one function at a time.
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