binary-search-tree

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 4 years ago . Improve this question I got binary tree, not BST, so elements are not sorted, and information that every node holds is string type. When I am printing elements that hold integers in BST I do it with recursion like this: (in_order printing) void PrintElements(const Data* node) { // Check if its

问题 This is Exercise 15.5-4 of Introduction to Algorithms, 3rd edition, which is about Knuth's improvement to the DP approach to Optimal Binary Search Tree. The DP algorithm of Optimal Binary Search Tree is: OPTIMAL_BST(p, q, n) let e[1..n+1, 0..n], w[1..n+1, 0..n], and root[1..n, 1..n] be new tables for i = 1 to n+1 e[i, i - 1] = q[i - 1]; w[i, i - 1] = q[i - 1]; for l = 1 to n for i = 1 to n - l + 1 j = i + l - 1 e[i, j] = INFINITY w[i, j] = w[i, j - 1] + p[j] + q[j] for r = i to j t = e[i, r -

问题 This is Exercise 15.5-4 of Introduction to Algorithms, 3rd edition, which is about Knuth's improvement to the DP approach to Optimal Binary Search Tree. The DP algorithm of Optimal Binary Search Tree is: OPTIMAL_BST(p, q, n) let e[1..n+1, 0..n], w[1..n+1, 0..n], and root[1..n, 1..n] be new tables for i = 1 to n+1 e[i, i - 1] = q[i - 1]; w[i, i - 1] = q[i - 1]; for l = 1 to n for i = 1 to n - l + 1 j = i + l - 1 e[i, j] = INFINITY w[i, j] = w[i, j - 1] + p[j] + q[j] for r = i to j t = e[i, r -

问题 Is there a way to turn a Binary to a sorted array without having to traverse the tree for every array index? Node root; Node runner; int current_smallest; void findsmallest(Node root){ //Pre-order traversal if(root == null){ return; }else{ runner = root; if(current_smallest == null){ current_smallest = runner.element; }else{ if(current_smallest > runner.element){ current_smallest = runner.element; } } findsmallest(runner.left); findsmallest(runner.right); } } void fill_array( int [] array ){

问题 I'm trying to implement the backtrack method on a new class named BacktrackingBST, which consists of the root node of a Binary Search Tree and a stack. the stack is used to store inserted or deleted nodes from the tree in order to allow us to backtrack said methods. i encounter an issue while trying to backtrack deletion , the problem was that while i was to restore the deleted node back to its original place i failed to come up with a solution on how to get the new node in its place like its

问题 So I'm trying to delete a node from a tree by using these two functions inside the class.Unfortunately it just doesnt delete anything and i was wondering what is wrong about it! any help would be truly appreciated. def Find_Min(self,node): current=node while current.left is None: current=current.left return current def deletenode(self,node,ntbd): ##ntbd:node to be deleted /// node: root node if node is None: return None elif node.data>ntbd: node.left=self.deletenode(node.left,ntbd) elif node

问题 So I'm trying to delete a node from a tree by using these two functions inside the class.Unfortunately it just doesnt delete anything and i was wondering what is wrong about it! any help would be truly appreciated. def Find_Min(self,node): current=node while current.left is None: current=current.left return current def deletenode(self,node,ntbd): ##ntbd:node to be deleted /// node: root node if node is None: return None elif node.data>ntbd: node.left=self.deletenode(node.left,ntbd) elif node

问题 I'm trying to implement the backtrack method on a new class named BacktrackingBST, which consists of the root node of a Binary Search Tree and a stack. the stack is used to store inserted or deleted nodes from the tree in order to allow us to backtrack said methods. i encounter an issue while trying to backtrack deletion , the problem was that while i was to restore the deleted node back to its original place i failed to come up with a solution on how to get the new node in its place like its

问题 I'm trying to implement the backtrack method on a new class named BacktrackingBST, which consists of the root node of a Binary Search Tree and a stack. the stack is used to store inserted or deleted nodes from the tree in order to allow us to backtrack said methods. i encounter an issue while trying to backtrack deletion , the problem was that while i was to restore the deleted node back to its original place i failed to come up with a solution on how to get the new node in its place like its

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 19 days ago . I need your help or if you can give me advice. I'm really struggling and some help would be perfect, so this is what I got so far; import BST, TreeNode class Bibliography: def __init__(self): self.bibtree = BST() def getReference(self,key): """Return the reference for the key, if it exists,