CayleyR Package Solves TopSpin Puzzle Using Cycle Intersection
Key takeaways
- CayleyR is an R package for solving permutation puzzles using Cayley graph cycle intersections.
- It employs an iterative bidirectional search from initial and target states.
- The algorithm generates cycles and seeks their intersection to find solutions.
- The implementation uses C++ and optional Vulkan GPU acceleration for efficiency.
Who benefits
Summary
CayleyR is an R package designed to solve permutation puzzles like TopSpin(n,k) by detecting cycle intersections in Cayley graphs. It employs an iterative bidirectional search, generating cycles from both initial and target states to find a connecting path.
Why it matters
Professionals in fields requiring combinatorial optimization or complex state-space search can leverage such algorithmic approaches to solve intricate problems more efficiently, potentially extending to areas beyond puzzles.
How to implement this in your domain
- 1Install the CayleyR package in an R environment.
- 2Familiarize with the package's functions for defining puzzle states and operations.
- 3Apply the cycle intersection algorithm to solve instances of the TopSpin puzzle.
- 4Explore adapting the underlying mathematical framework to other permutation-based or combinatorial problems.
- 5Utilize the optional Vulkan GPU acceleration for performance optimization on larger problem instances.
Original post by Yuri Baramykov
"arXiv:2607.13219v1 Announce Type: new Abstract: We present cayleyR, an R package for solving permutation puzzles by detecting cycle intersections in Cayley graphs. The core algorithm performs an iterative bidirectional search: from both the initial and target permutation states,…"
View on XOriginally posted by Yuri Baramykov on X · view source
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