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Bubble sort-O(n*n)-in all cases

Insertion sort-O(n*n)-in avg and worst case in best case it is O(logn)

Quick Sort-0(nlogn)-in avg n best case and 0(n*n)-in Worst case

selection sort-same as bubble

Linear search-o(n)

Binary Search-o(nlog)

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Quick sort is usally done in-place with O(log(n)) stack space. Merge sort has a worst case of O(n), but an in-place merge sort has a space complexity of O(1). Heap sort also has a space complexity of O(1). For more information, see related links, below.

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Q: Time and space complexities of various sorting methods?
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What would be appropriate measures of cost to use as a basis for comparing the two sorting algorithms?

Time complexity and space complexity.


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time travel space warp quickquotes quills


What do you understand by complexity of sorting algorithms?

By understanding the time and space complexities of sorting algorithms, you will better understand how a particular algorithm will scale with increased data to sort. * Bubble sort is O(N2). The number of Ops should come out <= 512 * 512 = 262144 * Quicksort is O(2N log N) on the average but can degenerate to (N2)/2 in the worst case (try the ordered data set on quicksort). Quicksort is recursive and needs a lot of stack space. * Shell sort (named for Mr. Shell) is less than O(N4/3) for this implementation. Shell sort is iterative and doesn't require much extra memory. * Merge sort is O( N log N) for all data sets, so while it is slower than the best case for quicksort, it doesn't have degenerate cases. It needs additional storage equal to the size of the input array and it is recursive so it needs stack space. * Heap sort is guaranteed to be O(N log N), doesn't degenerate like quicksort and doesn't use extra memory like mergesort, but its implementation has more operations so on average its not as good as quicksort.


What are the advantages of insertion sort?

It is less efficient on list containing more number of elements. As the number of elements increases the performance of the program would be slow. Insertion sort needs a large number of element shifts.


What is advantage of space vector pwm in ac drive does it give better torque then normal pwm does it give benifit to low current or power saving?

Here is a good link to address this question: http://handle.dtic.mil/100.2/ADA421744 The paper is titled: "Space Vector Methods for AC Drives to Achieve High Efficiency and Superior Waveform Quality"

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more sphericity,more porosity good sorting ,more uniform size and more will be the porosity porosity doesnot depend on size of grain


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Study of temperature of various places , volume of rainfall and humidity of air and weathers forecasting can not possible without statistical methods.


What would be appropriate measures of cost to use as a basis for comparing the two sorting algorithms?

Time complexity and space complexity.


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Why have there been no new or updated methods of space travel?

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Which tree is efficient for time and space complexities?

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