Mathematics

Mathematics, 30.07.2019 18:10, barbie8775

(c) perf orm a worst-case time complexity analysis for the algorithm you constructed in (a) 7

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Computers and Technology, 08.07.2019 16:10, Ryleetarver

Given an unsorted array of distinct integers numbers and is given a non-negative integer number, k, k < n. you need to find an element from a such that its rank is k, i.e., there are exactly (k-1) numbers less than or equal to that element. example: input: a = [1, -3, 4, 3, 12, 20, 30, 7, 14, -1, 0] and k =8. output: 12, since 7, -3, -1, 0, 4, 3, 1 (8-1=7 numbers) are all less than or equal to 12 suggest a sub-quadratic running time complexity algorithm (only pseudo-code) to solve this problem. justify. (b) given an array a of n + m elements. it is know that the first n elements in a are sorted and the last m elements in a are unsorted. suggest an algorithm (only pseudo code) to sort a in o(mlogm +n) worst case running time complexity. justify. (c) the processing time of an algorithm is described by the following recurrence equation (c is a positive constant): t(n) = 3t(n/3) + 2cn; t(1) = 0 what is the running time complexity of this algorithm? justify. (d) you decided to improve insertion sort by using binary search to find the position p where the new insertion should take place. (d.1) what is the worst-case complexity of your improved insertion sort if you take account of only the comparisons made by the binary search? (d.2) what is the worst-case complexity of your improved insertion sort if only swaps/inversions of the data values are taken into account?

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Mathematics, 08.08.2019 01:20, jenny3661

Answer the following questions below include algorithms and pseudocode describing the time and space complexity of algorithms: what is time complexity? what is space complexity? compare and contrast polynomial time algorithms and nondeterministic polynomial (np) time algorithms (one paragraph minimum). provide an example of an algorithm for each worst-case run times: o( n). o( nk). note that this is called polynomial-time, where k is any number greater than 1. np-time. hint: quick sort is an algorithm that runs in o( nlog n) time

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Computers and Technology, 06.09.2019 21:20, axell13965

)given the following algorithm (suppose n can only be even), answer the questions algorithm1(int n, const int s[]) { if (n==2) return; for (int i = 1; i < =n/2; i++) cout< < s[ i ] * s[ i+n/2 ]; } a) what is the output of the algorithm if n = 6, and s[1, 3, 6, 2, 2, 2] b) what is the best case complexity of the algorithm? c) what is the worst case complexity of the algorithm?

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Mathematics, 20.09.2019 05:30, ayoismeisalex

For algorithm analysis, which of the following statements are true? choose all correct answers. worst case analysis gives us the lower bound on running time in algorithm analysis, we assume every primitive operation takes constant time independent of machine in ram model, concurrent operations can be done input size can be defined by more than one value

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