Пожалуйста, прочтите новое правило об ограничении использования AI-инструментов. ×

Блог пользователя Segmentation_Force

Автор Segmentation_Force, история, 22 месяца назад, По-английски

Welcome to my blog about the best CPP tricks for competitive programming! As a competitive programmer, I have come to rely on CPP for its flexibility and speed in solving complex coding problems. I have gathered some of my favorite tricks and techniques for using CPP in competitive programming, and I hope to share them with you in this blog.

First off, let’s talk about loop optimization. When writing loops in CPP, you should always pay attention to the number of iterations that the loop will need to make. The more iterations the loop needs, the slower the code will run. To optimize the loop, you can use techniques such as loop unrolling, loop fusion, and loop interchange. These techniques can reduce the number of iterations the loop needs to make and can dramatically improve the performance of the code. For example, the formula $$$\frac{n}{2} + 1$$$ can be used to calculate the number of iterations required to complete a loop from 0 to n.

Next, let’s discuss data structures. There are many different data structures available in CPP, and each one has its own unique strengths and weaknesses. When writing code for competitive programming, you should always consider which data structure is best suited for the task at hand. For example, if you need to store a large amount of data, then you may want to consider using a hash table or a binary search tree. Additionally, if you need to implement a dynamic data structure, then you may want to consider using a linked list or a binary heap.

Finally, let’s talk about algorithms. Algorithms are vital for solving complex problems in competitive programming. CPP provides a wide range of algorithms such as sorting, searching, and graph algorithms. It is important to choose the best algorithm for the task at hand, as this can dramatically improve the performance of the code. For example, the time complexity for the selection sort algorithm is $$$O(n^{2})$$$, while the time complexity for the quicksort algorithm is $$$O(n\log{n})$$$.

I hope this blog has been helpful in teaching you some of the best CPP tricks for competitive programming. If you have any questions or comments, please feel free to leave them in the comments section below. Thanks for reading!

  • Проголосовать: нравится
  • -35
  • Проголосовать: не нравится

»
22 месяца назад, # |
  Проголосовать: нравится +39 Проголосовать: не нравится

Not trying to be rude if this was an actual attempt at writing genuine advice, but this reads like something written by a bot, like chatGPT.

It was very short, and even then, most of the sentences were fluff.

»
22 месяца назад, # |
Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

chatGPT crying in corner!

»
22 месяца назад, # |
  Проголосовать: нравится +2 Проголосовать: не нравится

What color is your bugatti? (rating) Hope red for you))

»
22 месяца назад, # |
Rev. 2   Проголосовать: нравится +20 Проголосовать: не нравится

Please everyone downvote these stupid chatGPT generated blog posts. They don't add any value to Codeforces blogs. You can use chatGPT output detector to get an idea if some text was generated by chatGPT.

»
22 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

I read the whole thing but didn't see anything even remotely worth calling a "trick". Downvoted