3 posts tagged with "algorithms"

Hey everyone! Dynamic Programming is often considered the hardest topic in DSA, but it doesn't have to be. I've spent months working through DP problems for both tech interviews and competitive programming, and I wanted to share a complete guide that demystifies this topic.

The key insight that changed everything for me, DP isn't one giant topic, it's actually 15-20 clear patterns. Once you recognize these patterns, most DP problems become straightforward. This guide includes curated problem lists, the best learning resources, and proven roadmaps for both interview prep and competitive programming.

Hey everyone! I've been working on graph problems for both tech interviews and competitive programming, and I wanted to share a comprehensive guide that covers both aspects. Many resources focus on just one side, but mastering graphs requires understanding both the interview patterns and the deeper algorithmic concepts used in CP.

This guide includes curated problem lists, the best learning resources I've found, and a clear roadmap for both paths.

Hey everyone! Greedy algorithms are one of the most elegant and intuitive problem-solving paradigms in computer science. I've spent years mastering greedy techniques for both interviews and competitive programming, and I want to share a complete guide that will transform how you approach optimization problems.

The key insight: Greedy algorithms are about making locally optimal choices that lead to globally optimal solutions. The challenge isn't implementation, it's recognizing when greedy works and proving correctness. Once you develop this intuition, you'll solve complex problems with surprisingly simple code.