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1. A measure of how much time and/or space is required to execute an algorithm or program.
2. A step-by-step process for solving a problem or achieving a specific goal.
3. Algorithm that searches for a specific element in a list or array by checking each element one at a time.
4. A collection of elements of the same data type, stored in contiguous memory locations.
5. A position number indicating the location of an element within an array or list.
6. The scenario in which an algorithm takes the shortest time to complete.
7. An ordered collection of data.
8. A single item in an array or list.
9. The process of finding a specific value within an array or list.
10. The scenario in which an algorithm takes the longest time to complete.
11. An operation used in a linear search to compare each element of the list with the specified value.
12. A mathematical notation used to describe the time complexity of an algorithm.
13. The time taken to execute an algorithm or program.
14. A data type that can have one of two possible values, usually true or false.
15. A measure of how well an algorithm uses time and/or space resources.
16. A list that is not sorted according to any specific criterion.
17. The scenario in which an algorithm's execution time falls between the best-case and worst-case scenarios.
18. Algorithm that searches a list or array one item at a time in a linear fashion.
19. A measure of time complexity in which the execution time increases linearly with the size of the input.