{"id":955017,"date":"2023-07-12T14:15:10","date_gmt":"2023-07-12T21:15:10","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=955017"},"modified":"2024-05-22T19:44:25","modified_gmt":"2024-05-23T02:44:25","slug":"fiptree-tr","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fiptree-tr\/","title":{"rendered":"The Functional Essence of Imperative Binary Search Trees"},"content":{"rendered":"
Algorithms on restructuring binary search trees are typically presented in imperative pseudocode. Understandably so, as their performance relies on in-place execution, rather than the repeated allocation of fresh nodes in memory. Unfortunately, these imperative algorithms are notoriously difficult to verify as their loop invariants must relate the unfinished tree fragments being rebalanced. This paper presents 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Dec 27, 2023 (previously titled \"A Functional Correspondence between Top-down and Bottom-up Tree Algorithms\") This is an extended version of the PLDI'24 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