Sequential Search Algorithm

Linear Search Algorithm

• The step that checks if the current element matches the target value is the comparison step.
• The step that increments the value of i is the increment step.

Linear Search Outcome

• If the target value is found in the array, the algorithm stops and returns the position of the target value.

Linear Search Implementation

• The value of n in the linear search algorithm represents the size of the array.
• The linear search algorithm can be implemented in any programming language, including Python.

Code Snippet Details

• The purpose of the printline function is not specified in the text.
• The maximum size of the array intArray is not specified in the text.

Linear Search Output

• If the target value is not found in the array, the algorithm returns a value indicating that the target value is not found.

Linear Search Exit Condition

• The exit condition of the linear search algorithm is when the target value is found or the end of the array is reached.

Sequential Search Algorithm

• The data structure used for the sequential search algorithm is an array or list.
• The time complexity of the sequential search algorithm is O(n).

Python Implementation

• The purpose of the position variable is to keep track of the current position in the list.
• The purpose of the item parameter is to specify the target value to be searched for.
• The operator used to compare the item with each item in the list is the equality operator (==).
• If the item is found in the list, the sequential_search function returns the position of the item.
• If the item is not found in the list, the sequential_search function returns a value indicating that the item is not found.

Test List

• The purpose of the testlist variable is to provide a list of values to test the sequential_search function.

Sequential Search Properties

• The sequential search algorithm is a linear search algorithm that searches for an element in a list one by one.
• The time complexity of the sequential search algorithm is O(n).
• If the items in a list are ordered in ascending order, it provides no advantage for the sequential search algorithm.
• The best case scenario for the sequential search algorithm on an ordered list is when the target value is at the first position.
• The worst case scenario for the sequential search algorithm on an ordered list is when the target value is at the last position or not found.
• The average case scenario for the sequential search algorithm on an ordered list is when the target value is somewhere in the middle of the list.
• The best case scenario for the sequential search algorithm on an unordered list is when the target value is at the first position.
• The worst case scenario for the sequential search algorithm on an unordered list is when the target value is at the last position or not found.