What additional function is used in the Mergesort algorithm? O Partition Search O Merge O Sort
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- Suppose you have a file with 10000 pages and you have three buffer pages. If a most general external merge sort algorithm is used, how many runs will you produce in the first pass (pass 0)? Group of answer choices 3 100 3333 3334 10000Please answers fast Implement an external sort, which uses intermediate files to sort files bigger than main memory. Why Mergesort is a better algorithm than heapsort or quicksort to base such an implementation on? Test your program both on files with small records and on files with large records.For Quick Sort, and when selecting a partition element via the "median of N elements" method, which of the following values for N would result in a better partition? 7 15 9. O 0O O
- What additional function is used in the QuickSort algorithm? Partition Merge Sort Searchnumbers = (17, 98, 72, 50, 41, 38, 83, 42) Partition(numbers, 1, 7) is called. Assume quicksort always chooses the element at the midpoint as the pivot. What is the pivot? Ex: 9 What is the low partition? Ex: 1, 2, 3 (comma between values) What is the high partition? What is numbers after Partition(numbers, 1, 7) completes?numbers = (18, 98, 68, 19, 42, 25, 52, 75) Partition(numbers, 1, 7) is called. Assume quicksort always chooses the element at the midpoint as the pivot. What is the pivot? What is the low partition? What is the high partition? What is numbers after Partition(numbers, 1, 7) completes?
- Suppose you have a file with 10000 pages and you have three buffer pages. If a most general external merge sort algorithm is used, how many runs will you produce in the first pass (pass 0)? 3334 3333 10000 3 100 Refer to the previous question. How many passes will it take to sort the file completely?What exactly does it mean when something is deleted using the delete operator?JAVA: Use natural split to split the bonus_txt file, then use natural merge to merge the two resulting files back together. What is the value at index 100? bonus.txt file 200 998 744 735 402 22 387 547 944 76 50 85 395 603 121 453 552 27 658 576 961 975 436 235 111 691 870 392 391 340 660 947 522 664 771 575 275 847 222 992 68 763 975 14 226 763 114 108 502 997 430 654 730 857 443 60 339 500 910 961 824 571 835 196 152 170 78 927 537 857 690 282 955 962 244 144 287 749 536 268 975 81 199 744 669 31 999 905 384 537 753 228 344 609 134 363 819 774 859 479 945 406 120 265 732 371 445 488 210 907 576 805 916 14 344 579 780 686 7 844 742 225 938 172 348 513 122 153 955 565 404 362 101 899 38 218 68 283 686 860 654 159 618 259 690 646 580 69 910 362 450 373 342 398 547 336 539 745 224 972 585 95 146 673 19 459 500 906 520 278 208 459 430 721 131 960 988 705 134 941 440 743 847 601 18 118 945 537 178 23 739 167 354 268 963 248 934 844 664 886 128
- Which search method is the most efficient for an ordered file? a) binary search b) hashing method c) linear searchJAVA: Use natural split to split the bonus_txt file, then use natural merge to merge the two resulting files back together. What is the value at index 100? 200998 744 735 402 22 387 547 944 76 50 85 395 603 121 453 552 27 658 576 961 975 436 235 111 691 870 392 391 340 660 947 522 664 771 575 275 847 222 992 68 763 975 14 226 763 114 108 502 997 430 654 730 857 443 60 339 500 910 961 824 571 835 196 152 170 78 927 537 857 690 282 955 962 244 144 287 749 536 268 975 81 199 744 669 31 999 905 384 537 753 228 344 609 134 363 819 774 859 479 945 406 120 265 732 371 445 488 210 907 576 805 916 14 344 579 780 686 7 844 742 225 938 172 348 513 122 153 955 565 404 362 101 899 38 218 68 283 686 860 654 159 618 259 690 646 580 69 910 362 450 373 342 398 547 336 539 745 224 972 585 95 146 673 19 459 500 906 520 278 208 459 430 721 131 960 988 705 134 941 440 743 847 601 18 118 945 537 178 23 739 167 354 268 963 248 934 844 664 886 128Which of the following statements state the advantage of hashing table? O Insertion and deletion with hash page slower than array. Insertion and deletion with hash page is faster than array. O Search, insertion and deletion is faster in hash page than in an array. Searching is slower in hash page but insertion and deletion is faster in hash page than in an array.