Data Structures: Sorting and Searching, Summaries of Data Structures and Algorithms

An introduction to sorting and searching algorithms, including selection sort, insertion sort, bubble sort, and binary search. It explains the key concepts and principles behind these fundamental data structure operations, which are widely used in computer science and software engineering. The step-by-step processes of each sorting and searching method, along with illustrative examples to help readers understand the practical implementation. It highlights the importance of efficient data storage and retrieval, which is crucial for various applications, from database management to information retrieval. By studying this document, readers can gain a solid understanding of these core data structure techniques and their applications, which are essential for developing effective and optimized software solutions.

Typology: Summaries

2023/2024

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Data Structures
Chapter# 05
Sorting and Searching
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Data Structures

Chapter# 05

Sorting and Searching

Introduction to Sorting

  • (^) The process of arranging data in a specified order according to a given criteria is called sorting.
  • (^) The numeric type data may be arranged either in ascending or descending order.
  • (^) Similarly character type data may be arranged in alphabetical order.
  • (^) Sorting is a fundamental operation performed by the computer.
  • (^) It is mostly used to arrange records in databases.

Selection Sort

  • (^) Suppose an array ‘ABC’ with ‘n’ elements ABC[0], ABC[1].... ABC[N-1] is in memory.
  • (^) The selection sort technique for sorting array ‘ABC’ is as follows:
  • (^) Select the first element and compare it with the rest of the elements.
  • (^) If the next compared element is less than the selected element then swap the selected element with compared element, otherwise compare the selected element with the next element in the array.
  • (^) This mechanism will find the smallest element in the list and put it in the first position in the first phase.
  • (^) In the second phase, it will find the second smallest element in the list and put it in the second position and so on.
  • (^) Thus array ‘ABC’ is sorted after ‘n-1’ passes

Selection Sort Example: 30 49 26 13 55 36 So 13 is the smallest element and placed it in first position

Pass 1:

Pass 3: Pass 4:

Pass 5:

  • (^) In selection sort, select first and compare it with ‘N-1’ elements, if found small value interchange it, otherwise compare it with the next element.
  • (^) Thus elements are sorted after ‘N-1’ passes.
  • (^) Here is as algorithm which demonstrates the selection sort techniques.

Insertion Sort:

  • (^) The insertion sort works by inserting each item

into its proper place in the final list.

  • (^) Consider an array ‘A’ with ‘n’ elements A[0], A[1],

A[2]..... A[n-1] is in the memory.

  • (^) The insertion sort algorithm scans ‘A’ from A[0] to

A[n-1] inserting each element into its proper

position in the previously sorted sub array i.e.

Pass 1: A[0] by itself sorted. Pass 2: A[1] is inserted before or after A[0], so that A[0], A[1] are to be sorted. Pass 3: A[2] is inserted into its proper place in A[0], and A[1] before A[0], between A[0] and A[1], or after A[1], so that A[0], A[1], A[2] are to be sorted. Pass N: A[n-1] is inserted into its proper place in A[0], A[1], A[2]... A[n-1] so that they are to be sorted.

Pass 4: 25 48 57 37 12 92

Pass 5: 25 37 48 57 12 92

Pass 6: 12 25 37 48 57 92

Pay Attention to the Code Example

For Insertion Sort

Pass 1

Pass 2

Pass 3 Pass 4 (^) 17 15 15 17 15 17 35 37 49

Searching

  • (^) Computer systems are often used to store large amounts of data from which individual records are retrieved according to some search criterion.
  • (^) The process of finding a specific data item or record from a list is called Searching.
  • (^) The efficient storage of data to facilitate fast searching is an important task.
  • (^) All other operations like inserting, deletion, etc are dependent on this operation.
  • (^) Different techniques are used to carry out search operations. The commonly used search methods are: - (^) Sequential Search (Linear Search) - (^) Binary Search

Sequential Search

  • (^) The sequential(Linear) search is a simple and straightforward technique to search a specified item in an unordered list.
  • (^) The specified value is searched in the list sequentially, i.e. starting from the first element to the last element in the list in a sequence.
  • (^) When the required value is found, search operation stops.
  • (^) The sequential search is a slow process.
  • (^) It is used for small amounts of data.
  • (^) This method is not recommended for large amount of data.