π 2023-08-10 β Session: Developed and Analyzed Algorithms for Rhyme and Scheduling
π 05:10β06:10
π·οΈ Labels: Dynamic Programming, Recursion, Greedy Algorithms, Python, Scheduling
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to explore and implement algorithms for minimizing βcringeβ 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 βcringeβ 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 βcringeβ 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.