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Let's look at the minimax search tree illustrated in Figure 2. In this diagram, black nodes represent decisions made by the MAX player, while white nodes represent decisions made by the MIN player. The squares at the terminal nodes represent payments, with the number indicating the amount paid from MIN to MAX (a 0 indicates no payment from MIN to MAX). MAX aims to maximize the payment they receive, while MIN aims to minimize the payment they make. If we apply the α-β pruning
(a) Assume that we iterate over nodes from right to left; what are the arcs that are pruned
by α-β pruning, if any?
(b)Does you answer change if we iterate over nodes from left to right?
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- Don't copy from anywhere... please fast... typed answer Assignment: Linked List of Students You have been tasked with implementing a program in Java that uses a linked list to store and manage a list of students in a class. Each student should have a name and a grade. Your program should include the following classes: Student: Represents a student in the class. Each student should have a name and a grade. Node: Represents a node in the linked list. Each node should store a reference to a student and a reference to the next node in the list. LinkedList: Represents the linked list itself. Each linked list should have a reference to the first node in the list. Your task is to implement these classes using a linked list and demonstrate their functionality by creating a console-based interface for users to interact with the system. Your program should allow users to: Add a new student to the class at the end of the list. View information about a student, including their name and grade.…Java / Trees: *Please refer to attached image* What is the inorder of this tree? Multiple chocie. G X C A N V F Q L W G X C A N V F L W E A C V N X G F L W E A C V N VG F L W EJAVA Create binary search tree shown as below. Now delete the key 18, and then calculate the balance factor and convert into AVLtree by proper rotation
- Java code that eliminates the binary search's node with the lowest value. returns a reference to its element from a tree. If this tree is empty, it raises an EmptyCollectionException. If the tree is empty, returning a reference to the node with the fewest values produces an EmptyCollectionException.My code does not produce the required output, can anyone let me know what seems to be off? Input: from Node import Node from LinkedList import LinkedList def print_linkedlist(list): print(f'Linked List ------ Nodes ----------------------------------') print(f'head: {list.head.name:<6}', end=' ') node = list.head while node != None: print(f"{node.name:<12}", end=' ') node = node.next print() print(f'tail: {list.tail.name:<6}', end=' ') node = list.head while node != None: print(f"data:{node.data:<7}", end=' ') node = node.next print() print(f' ', end=' ') node = list.head while node != None: if node.next != None: print(f"next:{node.next.name:<7}", end=' ') else: print("next:None") node = node.next print() print(f' ', end=' ') node = list.tail while node != None: if node.prev != None:…My code does not produce the required output, can anyone let me know what seems to be off? Input: from Node import Node from LinkedList import LinkedList def print_linkedlist(list): print(f'Linked List ------ Nodes ----------------------------------') print(f'head: {list.head.name:<6}', end=' ') node = list.head while node != None: print(f"{node.name:<12}", end=' ') node = node.next print() print(f'tail: {list.tail.name:<6}', end=' ') node = list.head while node != None: print(f"data:{node.data:<7}", end=' ') node = node.next print() print(f' ', end=' ') node = list.head while node != None: if node.next != None: print(f"next:{node.next.name:<7}", end=' ') else: print("next:None") node = node.next print() print(f' ', end=' ') node = list.tail while node != None: if node.prev != None:…
- There are better alternatives to linked lists and arrays than binary search trees.Java / Trees: *Please refer to attached image* What is depth of Node W in this tree? Multiple chocie. 0 1 2 3 4 10Python binary search tree: a function that takes in a root, p, and checks whether the tree rooted in p is a binary search tree or not. What is the time complexity of your function? def is_bst(self, p: Node):
- Given main.py and a Node class in Node.py, complete the LinkedList class (a linked list of nodes) in LinkedList.py by writing the insert_in_ascending_order() method that inserts a new Node into the LinkedList in ascending order. Ex: If the input is: 8 3 6 2 5 9 4 1 7 the output is: 1 2 3 4 5 6 7 8 9 Code givenpackage Linked_List; public class RefUnsortedList<T> implements ListInterface<T>{protected int numElements; // number of elements in this listprotected LLNode<T> currentPos; // current position for iteration// set by find methodprotected boolean found; // true if element found, else falseprotected LLNode<T> location; // node containing element, if foundprotected LLNode<T> previous; // node preceeding locationprotected LLNode<T> list; // first node on the listpublic RefUnsortedList(){numElements = 0;list = null;currentPos = null;}public void add(T element)// Adds element to this list.{LLNode<T> newNode = new LLNode<T>(element);newNode.setLink(list);list = newNode;numElements++;}protected void find(T target)// Searches list for an occurence of an element e such that// e.equals(target). If successful, sets instance variables// found to true, location to node containing e, and previous// to the node that links to location. If not successful,…Write a program to allow user to create a binary search tree. Your program should display in BFT and DFT (preorder, inorder, and postorder) format.