What are the correct statements regarding exhaustive search and sequential search?
The correct statements from the choices provided are a, b, and c. An exhaustive search is the process of examining each element in a list of items or objects to find an object that matches a certain criterion. This can involve either finding any object that matches the criterion (a) or specifically searching for an object that maximizes or minimizes a particular function (c). A sequential search is similar in concept as it is also a method used to locate a certain object in a list, but it specifically refers to the process of starting from the first object in the list and examining each object in sequence until the desired object is found (b).
Exhaustive Search vs. Sequential Search
Exhaustive Search:
Exhaustive search, also known as brute-force search, is a method that involves checking all possible solutions to a problem to find the desired solution. This approach exhausts all possibilities until the correct solution is found. In the context of searching for an object in a list, an exhaustive search entails examining each item in the list to determine if it meets a specific criteria. This method guarantees finding the desired object, but it can be computationally expensive for large datasets.
Sequential Search:
Sequential Search:
Sequential search, on the other hand, is a simple search algorithm that sequentially checks each element of the list until a match is found. It starts from the beginning of the list and moves through each item one by one until the target item is located. This method is straightforward and easy to implement, but it may not be the most efficient for large lists as it involves checking each item linearly.
In summary, exhaustive search and sequential search are essential methods in searching for objects in a list. While exhaustive search examines all possible solutions to find the desired object, sequential search systematically looks through each item until a match is found. Understanding the differences between these two approaches is crucial in optimizing search processes for different scenarios.