Bagwell, PhilipRompf, Tiark2011-10-312011-10-312011-10-312011https://infoscience.epfl.ch/handle/20.500.14299/72103Immutable vectors are a convenient data structure for functional programming and part of the standard library of modern languages like Clojure and Scala. The common implementation is based on wide trees with a fixed number of children per node, which allows fast indexed lookup and update operations. In this paper we extend the vector data type with a new underlying data structure, Relaxed Radix Balanced Trees (RRB-Trees), and show how this structure allows immutable vector concatenation, insert-at and splits in O(log N) time while maintaining the index, update and iteration speeds of the original vector data structure.data structuresconcatenationfunctional programmingRRB-Trees: Efficient Immutable Vectorstext::report