Run, Right, and Fast for the Adaptive Radix Tree

Balancing speed, correctness, and adaptability in data structure design

Data structure performance isn't just about raw speed—it's about matching implementation complexity to your actual constraints. This essay explores how the Adaptive Radix Tree exemplifies the tension between running fast, getting it right, and staying flexible enough to evolve as requirements change.

Read full essay on Substack ↗

Questions this essay answers

  • When should you optimize a data structure for speed vs. simplicity?
  • How do you know if a complex data structure like ART is worth the implementation cost?
  • What does 'adaptive' mean in the context of choosing algorithms and data structures?
← All essays