πŸ“… 2023-08-10 β€” Session: Developed and Analyzed Algorithms for Rhyme and Scheduling

πŸ•’ 05:10–06:10
🏷️ Labels: Dynamic Programming, Recursion, Greedy Algorithms, Python, Scheduling
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore and implement algorithms for minimizing β€˜cringe’ in poetry and optimizing scheduling for conferences and attractions.

Key Activities

  • Reformulated a problem involving rhyme in poetry, focusing on minimizing resource usage to achieve rhyming words through recursive and dynamic programming techniques.
  • Developed a dynamic programming solution using a top-down memoization approach to optimize word division into verses.
  • Compared recursive solutions for rhyme minimization, highlighting differences in problem definition and dynamic programming usage.
  • Defined a recursive function to calculate minimum β€˜cringe’ and implemented it using dynamic programming.
  • Formally defined problems for string generation and interval graphs, proposing recursive algorithms and analyzing their complexity.
  • Developed a recursive function for string generation with constraints, utilizing a top-down approach with memoization.
  • Explored greedy algorithms for maximizing presentation impact at scientific conferences, including Python implementations for prioritizing presentations by value and scheduling.

Achievements

  • Successfully implemented and analyzed algorithms for minimizing β€˜cringe’ in poetry and optimizing conference scheduling.
  • Developed Python algorithms for maximizing presentation impact and scheduling conferences and attractions.

Pending Tasks

  • Further development and testing of additional functions for conference and attraction scheduling.
  • Integration of greedy and dynamic programming concepts in educational exercises.