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- Give an alternative implementation of the HeapPriorityQueue's upheap method that uses recursion (and no loop). Hint: Do a single upward swap and recur (if necessary).Use the divide-and-conquer approach to write a java code that finds thelargest item in a list of n items. Analyze your algorithm, and show theresults in order notation.In Java!!!. Design and implement a recursive version of a binary search. For the recursive version, instead of using a loop to repeatedly loop for the target value, allow each call to a recursive method check one value. If the value is not the target, refine the search space and call the method again. The indexes that define the range of viable candidates can be passed to the method. The base case is either finding the target value or running out of data to search. Design the program to work for on an array of sorted String objects.
- Design and implement an insertSorted() method for the MyArrayList class. The method should receive a single object and insert it in its correct position. You can assume that the calling array is already in a sorted order. The calling array is therefore updated. Follow the three step method for designing the method. Develop the java code for the method. Create a test program to test the method thoroughly using the Integer wrapper class.Implement keys() for SeparateChainingHashST and LinearProbingHashST. 0 Add a method to LinearProbingHashST that computes the average cost of a search hit in the table, assuming that each key in the table is equally likely to be sought.Implement a resize function for a hash table. Resizing is the process of increasing a hash table's size when too many items have been added, reducing the hash table's effectiveness. To resize the hash table, increase the size of the table by some small factor (not less than 2x), remove everything from the old table, and insert it into the new larger table. Make sure to free up memory that is no longer used after resizing. Use the following heuristics to resize the table: • When the load factor exceeds .5. If no entry is found within the probe distance. Note, you may need to change insert as well to have a fully working solution.
- Implement solution for remove(int id) removes the Student associated with this id; if the id is not found in the table or on the waitlist, then it should return null; otherwise, it should return the Student associated with the id. If the student that is removed was registered, then this student should be replaced by the student who is first in the waitlist queue. If the student who is removed was on the waitlist, then they should just be removed from the waitlist. You should go directly to slot id % m rather than iterating through all the slots. public class Course { public String code; public int capacity; public SLinkedList<Student>[] studentTable; public int size; public SLinkedList<Student> waitlist; public Course(String code) { this.code = code; this.studentTable = new SLinkedList[10]; this.size = 0; this.waitlist = new SLinkedList<Student>(); this.capacity = 10; } public…Complete the method insertInMiddle.Examine the following graph. We will be running Dijkstra's algorithm starting at the node labeled S S 5 1 2 A E F 9. 3 4 6 B C D 2 5 10 5 We're using the version of Dijkstra's algorithm described here in lecture: note that the fringe and distro data structures are always changed at the same time. Give the resulting edgeTo and distão maps after vertex B is visited (i.e. its outgoing edges to C and E have been relaxed). Also give the resulting edgeTo and distro maps after Dijkstra's algorithm has completely finished execution. Initialize the edgeTo for each vertex as - which will represent null for us. Initialize the distro for each vertex as inf which we'll use to represent ∞o, except for S where it should be 0. So, before the first iteration, the values of these variables are: edgeTo = {A, B, C:-, D:-, E:-, F:-, G:-, S:-} distTo = {A: inf, B:inf, C:inf, D:inf, E:inf, F:inf, G:inf, S:0} The maps must be in this order. If you have the same mappings but in a different order (i.e. the…
- Add a constructor to SeparateChainingHashST that gives the client the abilityto specify the average number of probes to be tolerated for searches. Use array resizingto keep the average list size less than the specified value, and use the technique describedon page 478 to ensure that the modulus for hash() is primeWrite a program that animates quadratic probing,as shown in Figure . You can change the initial size of the hash-table in theprogram. Assume the load-factor threshold to be 0.8.Apply the methods in the ListIterator interface to write a Java program in NetBeans that creates a LinkedList of four elements of type string, namely: Java, C#, PHP and Python.The program should then print out the elements initially in the original order, and then afterwards in reverse order using the ListIterator methods. In this case, the following(attached) is the expected output: