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The number of keyword comparisons is directly related to the number of keywords in the hash table

daiyuanrui 注册会员
2023-02-28 11:11

the reference answer GPT ᴼ ᴾ ᴱ ᴺ ᴬ ᴵ

  1. is true. The number of keyword comparisons is directly related to the number of keywords in the hash table. As the number of keywords in the hash table increases, so does the probability of hash collisions, which in turn leads to an increase in the number of keyword comparisons.

  2. This true or false question. Sequential lookups can be performed on either a sequential storage structure or a chain storage structure. Sequential lookups on chained storage structures, called linear linked list lookups, are less efficient than sequential lookups on sequential storage structures, but have better performance for insert and delete operations.

  3. This judgment is basically correct. The search efficiency of hash table mainly depends on the selection of hash function and the method of dealing with hash conflicts. The loading factor is an index to measure the utilization rate of hash table space. It usually affects the performance of hash table, but for a given hash function and conflict handling method, the loading factor is not a decisive factor affecting the efficiency of hash table lookup. In practice, appropriate hash functions and conflict handling methods are generally selected to ensure the efficiency of hash table search.

crw1234 注册会员
2023-02-28 11:11

Write based on Monster group and GPT:
error. The comparison number of hash lookup is not directly related to the number of keywords in the hash table, but to the design of hash function and the effectiveness of the hash conflict resolution method. Even if the number of keywords in the hash table is large, the number of comparisons found can be small if the hash function is well designed and the conflict resolution method is effective.

Error. The sequential search method can be used on both sequential and chain storage structures, because its search process only needs to traverse the entire structure and no other operations are required.

partially correct. The lookup efficiency of a hash table does depend on the hash function and the method of handling collisions, but the load factor of a hash table also affects the lookup efficiency. The loading factor is the ratio of the number of key words already stored in the hash table to the length of the hash table. Too large a loading factor will increase the probability of conflict and affect the search efficiency. If the loading factor is too small, storage space will be wasted. Therefore, in the design of hash table, it is necessary to consider the efficiency of hash function, the effect of conflict handling method and the size of the loading factor, so as to obtain better search efficiency and space utilization.

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Publish Time
2023-02-28 11:11
Update Time
2023-02-28 11:11