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100 is the largest element in the given array. For some reason i thought that the space complexity of the xi2 was nonlinear due to the arrayvalue^2 term being added each iteration. According to web star dictionary, algorithm is a special method to represent the procedure to solve given.
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Among 10, 20 and 4, 20 is the largest. It is a sample question bank with answers for data structures and algorithms. There are various ways to find the largest element.
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To gain full voting privileges, i was asked to find write a pseudocode of an algorithm that extracts the log (n) largest elements in an array and return them in a sorted list,.
Explain components of space complexity. The time complexity to solve this is linear o. The complexity of an algorithm m is the function f (n) which gives the running time and/or storage space requirement of the algorithm in terms of the size ‘n’ of the input I tested it in python for x ranging from [0].
The approach to solve this problem is to traverse the whole array and find the maximum among them. In each programming language, there is support for finding the max. We are given an integer array of size n or we can say number of elements is equal to n. While they use more space than a simple binary search tree due to additional pointers and balancing information, the space complexity remains o (n), which is.
The main difference is where space complexity quantifies the total space used by the algorithm, auxiliary space quantifies the extra space that is used in the algorithm apart.
We have to find the largest/ maximum element in an array.
