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Everything about Reverse-search algorithm

Reverse-search algorithms are a class of algorithms for generating all objects of a given size, from certain classes of combinatorial objects. In many cases, these methods allow the objects to be generated in polynomial time per object, using only enough memory to store a constant number of objects. They work by organizing the objects to be generated into a spanning tree of their state space, and then performing a depth-first search of this tree. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Reverse-search algorithmA 5-minute orientation
  2. Skim a recent paper: Integrated Modeling of Hybrid Nanofiltration/Reverse Osmosis Desalination Plant Using Deep Learning-Based Crow Search Optimization AlgorithmInfluential work since 2022
  3. Pick up a classic book: Darwin's dangerous ideaThe most-reprinted book on the subject
  4. Read the landmark paper: A modified adaptive sparrow search algorithm based on chaotic reverse learning and spiral search for global optimizationCited 45 times
  5. Go sideways: Vertex enumeration problemA closely related topic
  6. Go sideways: David AvisA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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