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- hash tables - Number of probes in a successful search in open address . . .
Given an open-address hash table with α α < 1, the expected number of probes in a successful search is at most 1 αln 1 1−α 1 α ln 1 1 α I read this in a book and the proof starts by saying Searching for k follows the same probe sequence as inserting it If k k is the i + 1 i + 1 th key inserted into the table, then 1 1− i m 1 1 m is the maximum expected number of probes for the
- 到底什么是哈希值，哈希值到底是怎么生成的，有什么用？ - 知乎
由于他的调皮，导致客户挑妹纸的时间大幅延长，从10秒到了800秒。 在代码中，一般都有一些比较复杂的算法去运算而得出这个hash值，一旦破解了这个算法，就又可以调皮啦。 在JAVA中，hash算法在HashMap中有体现，有兴趣的可以去看看源码。
- hash - How is this the expected number of of probes in open-address . . .
I am reading the "Introduction to Algorithms" by Thomas Cormen et al Particularly the theorem which says that given an open-address hash table with load factor $\\alpha = n m lt; 1$, the expected
- Hash size: Are prime numbers near powers of two a poor choice for the . . .
For example, suppose we wish to allocate a hash table, with collisions resolved by chaining, to hold roughly n = 2000 n = 2000 character strings, where a character has 8 bits We don't mind examining an average of 3 elements in an unsuccesful search, so we allocate a table of size m = 701 m = 701
- What is the advantage of seperate chaining over open addressing?
6 Hash tables resolve collisions through two mechanisms, separate chaining or open hashing and open addressing or closed hashing Though the first method uses lists (or other fancier data structure) in hash table to maintain more than one entry having same hash values, the other uses complex ways of skipping n elements on collsion
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