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
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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 find the element to delete, the performance is still O(n) because you may have to shift all elements
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- True or False For each statement below, indicate whether you think it is True or False. 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 arrayConsider the algorithm for insertion sort shown below. The input to this algorithm is an array A. You must assume that indexing begins at 1.Assume nums is a sorted array containing 4000 integers. We want to search for the value -5, but that value is not in the array. a. If we perform a linear search, how many comparisons will it make to determine -5 is not in the array? [n1] b. If we perform a binary search, what is the maximum number of comparisons it will make to determine -5 is not in the array? [n2] Note: this question is not asking you to find the exact number of comparisons, but rather the maximum number of comparisons Now suppose we double the size of the nums array (to 8000 elements) c. If we perform a linear search, how many comparisons will it make to determine -5 is not in the array? [n3] d. If we perform a binary search, what is the maximum number of comparisons it will make to determine -5 is not in the array? [n4] Note: again, this question is not asking you to find the exact number of comparisons, but rather the maximum number of comparisons
- Given this array containing characters: Data В C F H J L M R S V X Z Index 1 3 4 5 7 8 9 10 11 12 13 List out the low, middle, and high indices for each pass when using binary search to locate the value 'Q' in the list. Use the following format for each pass needed: Pass: Low: Mid: High:Let N be an unordered array of integers. The maximum number of compares required to find the minimum value is N-1. [True/False]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. 1) If you use binary search on a sorted array, the performance at worst is O(log n) 2) 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) 3) 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 4) Binary search can be used on an unsorted array
- True or False For each statement below, indicate whether you think it is True or False Because the update algorithm depends on using linear search, its performance is O(1) in the worst case scenario If you search for and delete an element in an unsorted array and then shift the rest of the elements to fill the hole, the worst case performance is O(n) If you search for and delete an element in an unsorted array and then move the last element to fill the hole, the worst case performance is O(n)You are running the insertion sort algorithm. Assume that at the start of iteration j=4 of the for loop, the array A is A=<3,6,8,4,9,2,7,10>. Write the array A at the start of the iteration j=5 of the for loop.The formula C=numpy.add(A, B) adds the two matrices A and B and stores the result in C.• To subtract matrix B from matrix A, enter C=numpy.subtract(A, B). The result is stored in C.• C=numpy.divide(A, B): Split matrix A into two equal parts and store the result in C.• C stands for numpy.multiply(A, B): Multiply matrices A and B, then store the result in matrices C.• C=numpy.sum(A): Calculate the sum of each element in the matrix A, then store the result in c R.• C=numpy.sum(A, axis = 0): Create a vector C by adding the columns of the matrix A.• C=numpy.sum(A, axis = 1): Summarize matrix A row-by-row and store the result in the vector C. Create Python code that demonstrates the use of these techniques in a sample matrix.
- Course: Data structure and algorithms: Topic: Algorithm Complexity: Please solve it o emergency basis: Question 2: Imagine that we want to keep track of friendships between n people. We can do this with an array of size nXn. Each row of the array represents the friends of an individual, with the columns indicating who has that individual as a friend. For example, if person j is a friend of person i, then we place a mark in column j of row i in the array. Likewise, we should also place a mark in column i of row j if we assume that friendship works both ways. What will be the space complexity of this problem.The check-in and check-out times of each guest for a hotel are given as input. You need to output the maximum number of guests staying at a time at the hotel. [Hint]: Sort the check-in array Sort the check-out array Merge the sorted arrays Keep track of the number of guests at the hotel during each iteration. To do this traverse the merged array. When someone check-ins, guest count increases by one, when someone check-outs, guest count decreases by one. And also keep track of the maximum number at any time Sample Input Check-in times Check out times Sample Output {2.00, 2.10, 3.00, 3.20, 3.50, 5.00} {2.30, 3.40, 3.20, 4.30, 4.00, 5.20} 2 {9.00, 9.40, 9.50, 11.00, 15.00, 18.00} {9.10, 12.00, 11.20, 11.30, 19.00, 20.00} 3 Your answerQuestion 17 Aa .You are given a sorted list of n numbers stored in an array A, where n can be arbitrarily large. Now randomly generate a number k and search the number in the list (i.e., in A). Now randomly select two subarrays of A, each of size n^1/2 . Then repeat the same procedure on each of the subarrays. The procedure stops after the subarray sizes become 1. Analyze the time complexity of finding the total number of successful searches in the entire procedure using big O-notation Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line