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The binary search algorithm works by successively halving the array and determining which half the result lies in, or if the half-way point is the result. In order for that to work, the array must be in order, otherwise choosing the half-way point would be meaningless because it would not tell you which half of the array the result is located in.
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What search algorithm locates an item in an array by repeatedly dividing the array in half?
half means 1/2 from the whole (previous), which means 2 of 1/2, and 2 derived into binary. Ha, Binary Search is the term.
Can you use a sequential search on an unsorted array?
Sequential search is the only way to search an unsorted array unless you resort to a multi-threaded parallel search where all threads concurrently search a portion of the array sequentially.
What is the time complexity for searching an element in an array?
If the array is unsorted, the complexity is O(n) for the worst case. Otherwise O(log n) using binary search.
Which are the searching algorithm always compare the middle element with the searching elements in the given array?
binary search system
In the bubble sort algorithm the second loop iterates ---------- for each of the unsorted array elements?
n-1 times
What is the best search algorithm to use for an unsorted array?
The best search algorithm to use for an unsorted array is linear search. It involves checking each element in the array one by one until the desired element is found. This algorithm has a time complexity of O(n), where n is the number of elements in the array.
What is the best search algorithm to use for a sorted array?
The best search algorithm to use for a sorted array is the binary search algorithm.
What is the time complexity of an algorithm that utilizes a binary search algorithm to search through a sorted array, where the search time is represented by the function log(n) in terms of the input size n?
The time complexity of an algorithm that uses a binary search on a sorted array is O(log n), where n is the size of the input array.
How many comparisons are typically made in a binary search algorithm when searching for a specific element in a sorted array?
In a binary search algorithm, typically log(n) comparisons are made when searching for a specific element in a sorted array, where n is the number of elements in the array.
How many comparisons are typically required in a binary search algorithm to find a specific element in a sorted array?
In a binary search algorithm, typically log(n) comparisons are required to find a specific element in a sorted array, where n is the number of elements in the array.
What is the running time of binary search algorithm?
The running time of the binary search algorithm is O(log n), where n is the number of elements in the sorted array being searched.
What is the time complexity of a binary search algorithm?
The time complexity of a binary search algorithm is O(log n), where n is the number of elements in the sorted array being searched.
What is the maximum number of comparisons required in a binary search algorithm to find a specific element in a sorted array?
The maximum number of comparisons required in a binary search algorithm to find a specific element in a sorted array is log(n), where n is the number of elements in the array.
What is the time complexity of an algorithm that uses a binary search to find an element in a sorted array in logn time?
The time complexity of an algorithm that uses binary search to find an element in a sorted array in logn time is O(log n).
What search algorithm locates an item in an array by repeatedly dividing the array in half?
half means 1/2 from the whole (previous), which means 2 of 1/2, and 2 derived into binary. Ha, Binary Search is the term.
Can you use a sequential search on an unsorted array?
Sequential search is the only way to search an unsorted array unless you resort to a multi-threaded parallel search where all threads concurrently search a portion of the array sequentially.
What is the time complexity of a binary search algorithm in computer science?
The time complexity of a binary search algorithm in computer science is O(log n), where n is the number of elements in the sorted array being searched.
