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Everything about Asymptotically optimal algorithm

Measure of algorithm performance for large inputs

In computer science, an algorithm is said to be asymptotically optimal if, roughly speaking, for large inputs it performs at worst a constant factor worse than any possible algorithm. It is a term commonly encountered in computer science research as a result of widespread use of big O notation. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Asymptotically optimal algorithmA 5-minute orientation
  2. Skim a recent paper: Genetic RRT: Asymptotically Optimal Sampling-based Path Planning via Optimization of Genetic AlgorithmInfluential work since 2022
  3. Pick up a classic book: Introduction to Multiple Time Series AnalysisThe most-reprinted book on the subject
  4. Read the landmark paper: The sliding-window Lempel-Ziv algorithm is asymptotically optimalCited 92 times
  5. Go sideways: Computational complexityA closely related topic
  6. Go sideways: Time complexityA closely related topic

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🗂️ The subject at a glance

  1. Formal definitions
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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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