Q2- Draw the following list of numbers as a heap with the first numberas the root: 77, 66, 55, 44, 60, 33, 55.After that insert 40.Note: Method of Solution based on book(Object-Oriented Data Structures Using Java Dale. Daniel T. Joyce: ChipWeems)

Heap is a balanced binary tree data structure, where the root-node key is compared with its children…

Answered: Q2- Draw the following list of numbers…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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def large_matrix(matrix: list[list[int]]) -> int:"""Returns the area of the rectangle in the area of a rectangle is defined by number of 1's that it contains.The matrix will only contain the integers 1 and 0.>>> case = [[1, 0, 1, 0, 0],... [1, 0, 1, 1, 1],... [1, 1, 1, 1, 1],... [1, 0, 0, 1, 0]]>>> largest_in_matrix(case1)6"" You must use this helper code: def large_position(matrix: list[list[int]], row: int, col: int) -> int: a = rowb = colmax = 0temp = 0rows = len(matrix)column = len(matrix[a])while a < rows and matrix[a][col] == 1:temp = 0while b < column and matrix[a][b] == 1:temp = temp + 1b = b + 1column = ba = a + 1if (a != row+1):temp2 = temp * (a - row)else:temp2 = tempif max < temp2:max = temp2b = colreturn max """ remember: Please do this on python you should not use any of the following: dictionaries or dictionary methods try-except break and continue statements recursion map / filter import""'
Quick Sort We choose an element from the list, called the pivot. We'll use it to divide the list into two sub-lists. We reorder all the elements around the pivot The ones with smaller value are placed before it All the elements greater than the pivot after it. After this step, the pivot is in its final position. This is the important partition step. We apply the above steps recursively to both sub-lists on the left and right of the pivot. Quick Sort (Example) Consider the following array Arr[] = {5, 9, 4, 6, 5, 3} Let's suppose we pick 5 as the pivot for simplicity We'll first put all elements less than 5 in the first position of the array: {3, 4, 5, 6, 5, 9} We'll then repeat it for the left sub-array {3,4}, taking 3 as the pivot There are no elements less than 3 We apply quicksort on the sub-array in the right of the pivot, i.e. {4} This sub-array consists of only one sorted element We continue with the right part of the original array, {6, 5, 9} until we get the final ordered…
print the even numbers followed by ödd oh Ex4) Given the file pointerlmofQueue.java then write a main method: to - add some elements into the queue, - reverse the queue contents, (Hint use an array) - print the queue contents.
8-Write a procedure that takes a tree (represented as a list) and returns a list whose elements are all the leaves of the tree arranged in right to left order or left to right. For example, ( leaves '((1 2) ((3 4) 5 )) returns (1 2 3 4 5) or (5 4 3 2 1). Then, Manually trace your procedure with the provided example.
Heapsort has heapified an array to: 98 71 63 38 16 and is about to start the second for loop. What is the array after each loop iteration? i = 4: Ex: 86, 75, 30 i = 3: i = 2: i = 1:
True or False For each statement below, indicate whether you think it is True or False. If you like, you can provide a description of your answer for partial credit in case you are incorrect. Use the standard linked list below to answer True/False statements 9-12: 8 7 null 4 10 The “head” pointer of this list is pointing to Node 4 If we called “insert(5)”, the new node’s “next” pointer will point to Node 8 If we called “delete(10)”, Node 7’s “next” pointer will point to Node 8 If we called “search(20)”, the “head” pointer will be at Node 4 after the search function ends

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Q2- Draw the following list of numbers as a heap with the first number as the root: 77, 66, 55, 44, 60, 33, 55. After that insert 40.