Examples of using Sorting algorithm in English and their translations into Bulgarian
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We can apply a sorting algorithm.
Sorting algorithms are often classified by.
That is, it is an integer sorting algorithm.
There exist many sorting algorithms with substantially better worst-case or average complexity of O(n log n).
In this case we should look for a better sorting algorithm.
There is a wide variety of sorting algorithms, and they use a rich set of techniques.
A sorting algorithm is an algorithm that puts elements of a list in a certain order.
More formally, the output of any sorting algorithm must satisfy two conditions.
For example, if we have to sort some numbers, we can keep them in an array andthen apply some of the well-known sorting algorithms.
There are a wide variety of sorting algorithms used throughout, each employing a rich set of techniques.
Then each bucket sorted individually either using any other sorting algorithm or by recursively applying bucket sort. .
Sorting algorithms are often classified by: Computational complexity(worst, average and best behavior) in terms of the size of the list(n).
But- like early machine translation- the sorting algorithms these platforms used made a lot of mistakes.
Stable sorting algorithms choose one of these, according to the following rule: if two items compare as equal, like the two 5 cards, then their relative order will be preserved, so that if one came before the other in the input, it will also come before the other in the output.
Merge Sort is yet another general-purpose sorting algorithm based on the divide and conquer technique.
Comparison-based sorting algorithms, which evaluate the elements of the list via an abstract key comparison operation, need at least$O(n\log n)$ comparisons for most inputs.
Each bucket is then sorted individually,either using a different sorting algorithm, or by recursively applying the bucket sorting algorithm. .
More formally, the output of any sorting algorithm must satisfy two conditions: The output is in nondecreasing order(each element is no smaller than the previous element according to the desired total order); The output is a permutation(a reordering, yet retaining all of the original elements) of the input.
Each bucket is then sorted separately,possibly utilizing a various sorting algorithm, or by recursively applying the bucket sorting algorithm. .
Sorting algorithms are prevalent in introductory computer science classes, where the abundance of algorithms for the problem provides a gentle introduction to a variety of core algorithm concepts, such as big O notation, divide and conquer algorithms, data structures such as heaps and binary trees, randomized algorithms, best, worst and average case analysis, time- space tradeoffs, and upper and lower bounds.
It is one of the most respected and popular sorting algorithms designed to be used efficiently to sort data that is stored externally in a file.
Although a college student who has successfully passed his main exams in"Informatics" would definitely know the common sorting algorithms and would be able to calculate their complexity, they would also have gaps in their education.
Quick Sort is a highly efficient yet effective sorting algorithm based on the divide and conquer approach which is quite similar to the dynamic approach in which a problem is divided into two or more sub-problems and then solved recursively.
The major advantage of binary search trees over other data structures is that the related sorting algorithms and search algorithms such as in-order traversal can be very efficient; they are also easy to code.
As it is an in-place sorting algorithm, no additional space is required to perform sorting. .
Bucket sort, or bin sort, is a sorting algorithm that works by distributing the elements of an array into a number of buckets.
Bubble sort andSelection sort are the sorting algorithms which can be differentiated through the methods they use for sorting. .
Quick Sort is generally better andfaster than other sorting algorithms including Merge Sort when it comes to small data set, whereas Merge Sort maintains consistency regardless of the type of data sets.
We can give an example with the algorithm QuickSort(the standard sorting algorithm in. NET Framework), which in the average case works a bit better than MergeSort, but in the worst case QuickSort can make the order of n2 steps, while MergeSort does always O(n*log(n)) steps.