Hello Friends, In this blog post(Searching Techniques In Data Structure) I am going to let you know about the searching in data structure. Here searching is meant for finding a particular record in the file, table, list or database.
Inside this blog post(Searching Techniques In Data Structure), we are going to explore What is searching in data structure? What are the types of searching? Which is the best searching algorithm in the data structure? What is searching and sorting in the data structure?
What is the search in the data structure? |Searching Techniques In Data Structure?
Searching in the data structure is a process to find a particular element in the list. This searching is an important part of the data structure algorithm. Any operation in an element can only be performed when we find that element in the data list|Searching Techniques In Data Structure|
What are the types of searching?
There are various searching techniques in data structure which are listed below.
Linear Search, Binary Search, Jump Search, Interpolation Search, Exponential Search, Sublist Search, and etc.
Which is the best searching algorithm in the data structure?
As all the searching algorithms have their own importance on a specific situation but linear search and binary search can be considered as the best searching and mostly used in the data structure.
What is searching and sorting in the data structure?
When we look at a particular element in the database then this process is called searching, and when we order the elements of the list so that we can easily find out the element in the list then this process is called sorting. With the help of both searching and sorting, we solved most of the computational problems inside the data structure.
In other words, searching is the process of finding the desired record in a search table. The search may be internal or external. A table or a file is a collection of records, each record having one or more fields.
The fields which are used to distinguish among the records are known as keys. While searching, we are asked to find a record that contains other information associated with the key.
For example, given a name we are asked to find a telephone number or given an account number, we are asked to find the balance in that account.
A key may be contained within the record, as discussed in the example of the telephone directory, at a specific offset from the start of the record. Such a key is called an internal key or an embedded key.
There may be a separate table of keys that includes pointers to find records. Such keys are called external keys. If there are many records, then it will be necessary to store the records on secondary storage.
This kind of searching where most of the table is kept in secondary storage is called external searching. Whereas searching where the table to be searched is stored entirely in the main memory is called internal searching.
There are two searching techniques – linear search and binary search. The linear search is the simplest of all search techniques that search through the entire table.
The binary search is an efficient method that divides the table one-half and searches in each half. If the key is matched with the middle element, then the search will terminate.
Please go through the below extensive blog link related to the sorting techniques:
Using this blog post(Searching Techniques In Data Structure) we have gone through What is the searching in the data structure, What are the types of searching, Which is the best searching algorithm in the data structure, What is searching and sorting in the data structure, Why need for the data structure. Searching and sorting in data structure help in solving many computational problems.
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