Visualizing the 15 patterns behind most LeetCode problems
The article discusses various patterns that can be found in LeetCode problems, emphasizing the importance of understanding these patterns for problem-solving. It highlights several key techniques such as Two Pointers, Binary Search Variants, and Dynamic Programming, each with its unique sub-patterns. The goal is to help learners quickly grasp the underlying concepts through interactive animations and visualizations.
- ▪The article categorizes problem-solving techniques into distinct patterns to aid learners.
- ▪Key techniques include Two Pointers, Binary Search Variants, and Dynamic Programming, each with specific sub-patterns.
- ▪Interactive animations are used to teach these mental models effectively.
Opening excerpt (first ~120 words) tap to expand
Train the pattern here.Practice on LeetCode.We are not another problem archive. We compress the gap between I read the problem and I see the trick from hours into minutes — with interactive animations that teach the mental model, not the syntax.family · 3 sub-patternsTwo PointersTwo indices moving over the same sequence to maintain an invariant — converging, fast/slow, sliding window.converging · fast-slow · slidingsingleBinary Search VariantsBoundary conditions are the field's largest unsolved teaching problem.3 variants · O(log n)singleBacktrackingDecision-tree expansion — uniquely suited to animation.branching state machinesingleMonotonic StackStack-state transitions are invisible in code, dramatic in animation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Algorhythm.