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)

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)

EBK JAVA PROGRAMMING

9th Edition

ISBN:9781337671385

Author:FARRELL

Publisher:FARRELL

Chapter9: Advanced Array Concepts

Section: Chapter Questions

Problem 4RQ

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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…
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 array
Best Partition You are given an array of positive numbers of size N and an integer K. You need to partition the array into K continuous segments. For each segment, the sum of its elements needs to be calculated. The segment with the minimum sum is called the bestSegment and the sum of the elements of the bestSegment is called the bestSum. For all possible combinations of partitions of the array when divided into K segments, their bestSum needs to be calculated and the one among them with maximum value needs to be returned. Input Specification: input1: an array of N positive numbers input2: an integer N denoting the length of the array input3: an integer K Output Specification: Return an integer denoting the maximum value of all possible bestSum. Example 1: input1: (1,2,3,4} input2: 4 input3: 2 Output: 4 Explanation: You can partition the given array into 2 continuous segments in the following manner- • 123 14- the sum of individual segments is (6,4) and the bestSum is 4 • 12134- the…
Homework 7: Merging two sorted arrays Due date: Saturday March 18. Objectives: Learn to implement algorithms that work with multiple arrays. Understand the Merging algorithm. IMPORTANT. Carefully study Lecture 1 from Week 8 on D2L before you start on this. Sometimes we need to combine the values in two sorted sequences to produce a larger sorted sequence. This process is called Merging. As an example, if the first sequence (S1)contains the numbers 2 3 4 4 5 9 and the second sequence (S2) contains the numbers 1 4 5 8 9 11 12 13 17 the output sequence will contain 1 2 3 4 4 4 5 5 8 9 9 11 12 13 17 Each sequence can be stored in an array. The strategy is as follows: Start by comparing the first items in the two input arrays. Write the smaller number to the output array, and move to the the next item in that array. This is repeated until we reach the end of any one of the input arrays; thereafter, we simply copy all the numbers from the other input array to the output array. (In the…
Please choose the answer and give the reasoning for it. The sequential search algorithm: 1. Requires the array to be ordered 2. Must always be implemented as a method 3. Uses a loop to step through an array, starting with the first element 4. Will not execute if the element is not in the array
In the square two dimensional array, the condition to navigate to (reach) the upper triangle elements of the primary diagonal * :is Note: (i) represents row index, (j) represents column index, and SIZE represents the array length i>j O isj O i+jSize-1 O
Data Structure & Algorithm: Here is an array with exactly 15 elements:1 2 3 4 5 6 7 8 9 10 11 12 13 14 15Suppose that we are doing a serial search for an element. Circle any elements that will be found by examining two or fewer numbers from the array.
True or False For each statement below, indicate whether you think it is True or False If you have an array with no “holes”, the append function performs at O(1) Inserting an element at the front and shifting all elements performs significantly worse than appending an element at the end of the list For the insert function, if the array is empty, there are no comparison operations that need to be performed and you can immediately add the new element Binary search can be used on an unsorted array to significantly improve its performance from O(n) to O(1) Because the update algorithm depends on using linear search, its performance is O(1) in the worst case scenario True 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)
True or False For each statement below, indicate whether you think it is True or False If you have an array with no “holes”, the append function performs at O(1) Inserting an element at the front and shifting all elements performs significantly worse than appending an element at the end of the list For the insert function, if the array is empty, there are no comparison operations that need to be performed and you can immediately add the new element Binary search can be used on an unsorted array to significantly improve its performance from O(n) to O(1)
Q:During each iteration of Quick Sort algorithm, the first element of array is selected as a pivot. The algorithm for Quick Sort is given below. Modify it in such a way that last element of array should be selected as a pivot at each iteration. Also explain the advantages.
OBJECT Lab Session 03 Application of the Linear and binary search on a list of elements stored in an array. THEORY Linear Search A nonempty array DATA with N numerical values is given. This algorithm finds the location LOC and required value of elements of DATA. The variable K is used as a counter. ALGORITHM 1. Set k := 1 & loc : = 0 Repeat step 3 & 4 while loc : = 0 &k < = n If (item = data[k]) loc : = k Else K = k + 1 If loc > = 0 or If (item = data[k]) then Print “loc is the location of item” Else Print “no. not found” Exit Binary Search Suppose DATA is an array that is sorted in increasing (or decreasing) numerical order or, equivalently, alphabetically. Then there is an extremely efficient searching algorithm, called binary search, which can be used to find the location LOC of a given ITEM of information in DATA. The binary search algorithm applied to our array DATA works as follows: During each stage of our algorithm, our search for ITEM is…
OBJECT Lab Session 03 Application of the Linear and binary search on a list of elements stored in an array. THEORY Linear Search A nonempty array DATA with N numerical values is given. This algorithm finds the location LOC and required value of elements of DATA. The variable K is used as a counter. ALGORITHM 1. Set k := 1 & loc : = 0 Repeat step 3 & 4 while loc : = 0 &k < = n If (item = data[k]) loc : = k Else K = k + 1 If loc > = 0 or If (item = data[k]) then Print “loc is the location of item” Else Print “no. not found” Exit Binary Search Suppose DATA is an array that is sorted in increasing (or decreasing) numerical order or, equivalently, alphabetically. Then there is an extremely efficient searching algorithm, called binary search, which can be used to find the location LOC of a given ITEM of information in DATA. The binary search algorithm applied to our array DATA works as follows: During each stage of our algorithm, our search for ITEM is…