Time complexity analysis for Searching in a Hash table 0 I want to analyse the time complexity for Unsuccesful search using probabilistic method in a Hash table where collisions are resolved by chaining through a doubly linked list And the doubly linked list is kept in sorted order (Ascending)
hash tables - Number of probes in a successful search in open address . . . 2 Given an open-address hash table with $\alpha$ < 1, the expected number of probes in a successful search is at most $\frac {1} {\alpha}\ln\frac {1} {1-\alpha}$ I read this in a book and the proof starts by saying Searching for k follows the same probe sequence as inserting it