📅 2023-08-10 — Session: Developed Dynamic Programming Solutions for Rhyme Minimization
🕒 05:10–06:10
🏷️ Labels: Dynamic Programming, Recursion, Algorithm, Python, Memoization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and develop dynamic programming solutions for minimizing ‘cringe’ in poetry by optimizing word division into verses. Additionally, it sought to formalize and implement algorithms for string generation and interval graphs, as well as maximize presentation impacts using greedy algorithms.
Key Activities
- Reformulated a rhyme problem for exam purposes, involving recursive definitions and a top-down algorithm.
- Developed a dynamic programming solution using memoization to minimize ‘cringe’ in poetry.
- Compared recursive solutions for rhyme minimization, focusing on dynamic programming and memoization.
- Defined recursive functions for string generation under constraints, using top-down approaches.
- Proposed and implemented Python algorithms for maximizing presentation impact and scheduling conferences and attractions.
Achievements
- Successfully implemented a dynamic programming solution for rhyme minimization, incorporating recursive and memoization techniques.
- Developed Python algorithms for optimizing presentation scheduling and maximizing impact.
- Formalized problem definitions for string generation and interval graphs.
Pending Tasks
- Further refinement of Python functions for scheduling and attraction selection to enhance performance and accuracy.