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The Art Gallery Problem: Why floor(n/3) Guards Are Enough

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Manage episode 522560192 series 3690682
Content provided by Mike Breault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mike Breault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Join us as we dissect the art gallery problem for simple polygons: triangulate the shape, color the vertices with three colors, and pick guards from the smallest color class to cover every spot. We trace the logic from the floor(n/3) bound to efficient algorithms like Jarvis's march and Chan's O(n log H), and explore trapezoidal maps and randomized incremental construction for fast point location. Along the way we connect the theory to real-world spatial problems and touch on the challenges and opportunities of extending these ideas to higher dimensions.

Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

Sponsored by Embersilk LLC

  continue reading

1561 episodes

Artwork
iconShare
 
Manage episode 522560192 series 3690682
Content provided by Mike Breault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mike Breault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Join us as we dissect the art gallery problem for simple polygons: triangulate the shape, color the vertices with three colors, and pick guards from the smallest color class to cover every spot. We trace the logic from the floor(n/3) bound to efficient algorithms like Jarvis's march and Chan's O(n log H), and explore trapezoidal maps and randomized incremental construction for fast point location. Along the way we connect the theory to real-world spatial problems and touch on the challenges and opportunities of extending these ideas to higher dimensions.

Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

Sponsored by Embersilk LLC

  continue reading

1561 episodes

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