Program 6: Sorting Data Add the Bubble Sort to minMaxArray.asm to sort the array into ascending order. Use the Bubble Sort algorithm from the lecture. You can use either Base Addressing or Indexed Addressing for the arrays. For this assignment, make sure you prompt the user for the numbers. Do not hard-code them in the data section. NOTE: Declare the array last in the Data section
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Program 6: Sorting Data
Add the Bubble Sort to minMaxArray.asm to sort the array into ascending order. Use the Bubble Sort
For this assignment, make sure you prompt the user for the numbers. Do not hard-code them in the data section.
NOTE: Declare the array last in the Data section.
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- In C program language, You are to read 10 numbers from a data file into an array named List. Create another 10 element array named Reverse that is to contain the same items as List but in reverse order. For example, the first element in List will be placed in the last position of Reverse, the second element in List will be placed in the second-to-last position in Reverse, etc. After Reverse has been created, output the contents of both arrays.Question 1 Assume that arrX array is already defined and allocated in memory, its base address 0xabcd3000 and already stored in $a2 and its number of elements in $a3. Answer each of the next questions as required. arrX: .word 0x99,0x20,0x73,0x40,0x50,0x69, ... Please write question numbers and answer parts in this question in order. Q1) The fourth element of arrX is located at HEX address ___________ Q2) Write one MIPS instruction to copy into $t9 the value of the fourth element of arrX: ___________ Q3) Write one MIPS instruction to calculate $t0 = 32 * fourth element: __________ Q4) Write NO more than 3 MIPS instructions to decrement the fourth element of arrX: __________ Q5) Write no more than 6 instructions to calculate $v0= first element - last element in arrX.In C language please. You are to read 10 numbers from a data file into an array named List. Create another 10 element array named Reverse that is to contain the same items as List but in reverse order. For example, the first element in List will be placed in the last position of Reverse, the second element in List will be placed in the second-to-last position in Reverse, etc. After Reverse has been created, output the contents of both arrays.
- There is an array with the original content as follows61,12,95,89,65,23,45,78,57,33Now execute Insertion sort, from small to large, please write the contents of the array after Pass 3Use C Language You are to read 10 numbers from a data file into an array named List. Create another 10 element array named Reverse that is to contain the same items as List but in reverse order. For example, the first element in List will be placed in the last position of Reverse, the second element in List will be placed in the second-to-last position in Reverse, etc. After Reverse has been created, output the contents of both arrays.There is an array with the original content as follows61,12,95,89,65,23,45,78,57,33Now execute Quick sort, from small to large, please write the result in the array after the first Split
- True or False For each statement below, indicate whether you think it is True or False. If you use binary search on a sorted array, the performance at worst is O(log n) For the insert algorithm, if you use binary search to find the location to insert the new element, it will improve the overall performance of the algorithm to O(log n) For the update algorithm in a sorted array, all you have to do is use linear or binary search to find the element you want to change, and if you find it, you only need to change it to the new value Binary search can be used on an unsorted array Inserting elements into a sorted array is O(n) because you have to find the location to add the new element and then shift the remaining elements If the sorted array gets too large, the performance of binary search becomes O(n) For the delete algorithm, after you find the element to delete, you can make the algorithm run faster by replacing it with the last element in the array If you used binary search to…In this assignment you will compare the real-time performance of the built-in sort function in the STL and your implementation of the bubble sort algorithm. First, generate an array of 1000 random numbers from 1 to 10000. Sort the array with your bubble sort function and time the sort. Then generate a new set of 1000 numbers and sort using the STL sort function, timing its performance. What are the differences in times to sort? Now increase the array size to 10000 and time both sorts. What are the differences? Now increase the array size to 100000, sort both ways, and compare. At what point did the two algorithms begin to diverge in time to sort? If they hadn't diverged by 100000 elements, continue increasing the size of the array until the two sorts do diverge and report on the size of the array and compare the sorting times. // C++ Please!!!the context of Array List which one of the following is NOT correct? a. Array List is a good option when too many insertions/deletions are required b. Insertion in the middle of the Array List requires some data to be shifted c. The size of the Array List can be inflated during run time d. Array List provides dynamic memory manage
- Apply replacement selection sort to the following numbers from left to right to create minimum number of sorted files. Assume array size M = 4; → 20 35 27 18 7 24 67 10 63 21 50 47 32 8 16 12 Show the content of each sorted file.1. Sorting• Begin by filling an array with random numbers:import numpy as npnp.random.seed(1012)DATASIZE = 1000MAX_VALUE = 10000000data = np.random.randint(0, MAX_VALUE, size=DATASIZE)• Write a function that is passed a numpy array. The function should walkthrough the array element-by-element, comparing the current element tothe next element. Swap if the next is smaller than the current – sortingthese two elements.• Write a second function that calls the above function n times, where n isthe number of elements (size) of the array. Pass the same numpy arrayeach time. 2. Bubble Sort• The sort from part 1 can be improved. If the data passed to be sorted isalready sorted, it still performs all of the work, as if the array was notsorted.Make two improvements:• Change the first function (the one that does the comparisons), so that it returns aboolean that states whether the array is sorted. Make use of that boolean to stopcalling the first function if the array is sorted.• Consider…1. Sorting• Begin by filling an array with random numbers:import numpy as npnp.random.seed(1012)DATASIZE = 1000MAX_VALUE = 10000000data = np.random.randint(0, MAX_VALUE, size=DATASIZE)• Write a function that is passed a numpy array. The function should walkthrough the array element-by-element, comparing the current element tothe next element. Swap if the next is smaller than the current – sortingthese two elements.• Write a second function that calls the above function n times, where n isthe number of elements (size) of the array. Pass the same numpy arrayeach time.