Skiplists are versatile data structures with various variants tailored to different access patterns and applications.
Investigating the sensitivity of CDAWGs to left-end edit operations reveals tight bounds and complexities.
Skiplists are versatile data structures with applications in various systems, offering efficient operations and adaptability to different access patterns.
A novel data structure, the Sierpinski tree, achieves efficient array updates and prefix sum calculations in O(log3 N) time, surpassing the Fenwick tree's performance. The author argues that this new structure is optimal by leveraging a connection to quantum computing.