Algorithm, There Is a Need Term Paper

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Other data structures such as self-balancing binary search tree generally operate slightly more slowly and are rather more complex to implement than hash tables but maintain a sorted data structures at all times.

Advantages

Hash table can provide constant-time lookup on average, regardless of the number of items in the table.

Compared to other associative array data structures, hash tables are most useful when a large number of records of data are to be stored.

The hash table size is unlimited (or limited only by available storage space). In this case no need to expand the table and recreate a hash function.

Disadvantages

It's difficult (not efficient) to print all elements in hash table.

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It's not efficient to find minimum element or maximum element.

The hash table has fixed size. At some point all the elements in the array will be filled. The only alternative at that point is to expand the table, which means modify the hash function to accommodate the increased address space.

Hash table are more difficult and error-prone to write and use.

Hash tables in general exhibit poor locality of reference that is, the data to be accessed is distributed seemingly at random in memory. Because hash tables cause access patterns that jump around, this can be trigger microprocessor cache misses that cause long delays......

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