algo-intro-memoization

SKILLWorkflowcommunauté
v0.0.0Pavel-KravchenkoUnknownMis à jour il y a 1 moisSource →

Speed up exponential recursion (Fibonacci, alignment counting, coin change) to linear time via dict cache or lru_cache. Use when recursion is slow, or asked to memoize, add @lru_cache, or explain overlapping subproblems.

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
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il y a 1 moisDernière mise à jour
Skill
AuteurPavel-Kravchenko
Version0.0.0
LicenceUnknown
CatégorieWorkflow
Formatsskill.md
PromptNon publié
Compatibilité
Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

Speed up exponential recursion (Fibonacci, alignment counting, coin change) to linear time via dict cache or lru_cache. Use when recursion is slow, or asked to memoize, add @lru_cache, or explain overlapping subproblems.

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