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TheAlgorithms
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src/main/java/com/thealgorithms/datastructures/trees/BoundaryTraversal.java
168 строк
6 KB
xuyang471
Add boundary traversal of binary tree (#5639)
09 окт 2024, 22:50
Не верифицирован
09 окт 2024, 22:50
48c65e4
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package com.thealgorithms.datastructures.trees; import java.util.ArrayList; import java.util.Deque; import java.util.LinkedList; import java.util.List; /** * BoundaryTraversal * <p> * Start with the Root: * Add the root node to the boundary list. * Traverse the Left Boundary (Excluding Leaf Nodes): * Move down the left side of the tree, adding each non-leaf node to the boundary list. * If a node has a left child, go left; otherwise, go right. * Visit All Leaf Nodes: * Traverse the tree and add all leaf nodes to the boundary list, from left to right. * Traverse the Right Boundary (Excluding Leaf Nodes) in Reverse Order: * Move up the right side of the tree, adding each non-leaf node to a temporary list. * If a node has a right child, go right; otherwise, go left. * Reverse the temporary list and add it to the boundary list. * Combine and Output: * The final boundary list contains the root, left boundary, leaf nodes, and reversed right boundary in that order. */ public final class BoundaryTraversal { private BoundaryTraversal() { } // Main function for boundary traversal, returns a list of boundary nodes in order public static List<Integer> boundaryTraversal(BinaryTree.Node root) { List<Integer> result = new ArrayList<>(); if (root == null) { return result; } // Add root node if it's not a leaf node if (!isLeaf(root)) { result.add(root.data); } // Add left boundary addLeftBoundary(root, result); // Add leaf nodes addLeaves(root, result); // Add right boundary addRightBoundary(root, result); return result; } // Adds the left boundary, including nodes that have no left child but have a right child private static void addLeftBoundary(BinaryTree.Node node, List<Integer> result) { BinaryTree.Node cur = node.left; // If there is no left child but there is a right child, treat the right child as part of the left boundary if (cur == null && node.right != null) { cur = node.right; } while (cur != null) { if (!isLeaf(cur)) { result.add(cur.data); // Add non-leaf nodes to result } if (cur.left != null) { cur = cur.left; // Move to the left child } else if (cur.right != null) { cur = cur.right; // If left child is null, move to the right child } else { break; // Stop if there are no children } } } // Adds leaf nodes (nodes without children) private static void addLeaves(BinaryTree.Node node, List<Integer> result) { if (node == null) { return; } if (isLeaf(node)) { result.add(node.data); // Add leaf node } else { addLeaves(node.left, result); // Recur for left subtree addLeaves(node.right, result); // Recur for right subtree } } // Adds the right boundary, excluding leaf nodes private static void addRightBoundary(BinaryTree.Node node, List<Integer> result) { BinaryTree.Node cur = node.right; List<Integer> temp = new ArrayList<>(); // If no right boundary is present and there is no left subtree, skip if (cur != null && node.left == null) { return; } while (cur != null) { if (!isLeaf(cur)) { temp.add(cur.data); // Store non-leaf nodes temporarily } if (cur.right != null) { cur = cur.right; // Move to the right child } else if (cur.left != null) { cur = cur.left; // If right child is null, move to the left child } else { break; // Stop if there are no children } } // Add the right boundary nodes in reverse order for (int i = temp.size() - 1; i >= 0; i--) { result.add(temp.get(i)); } } // Checks if a node is a leaf node private static boolean isLeaf(BinaryTree.Node node) { return node.left == null && node.right == null; } // Iterative boundary traversal public static List<Integer> iterativeBoundaryTraversal(BinaryTree.Node root) { List<Integer> result = new ArrayList<>(); if (root == null) { return result; } // Add root node if it's not a leaf node if (!isLeaf(root)) { result.add(root.data); } // Handle the left boundary BinaryTree.Node cur = root.left; if (cur == null && root.right != null) { cur = root.right; } while (cur != null) { if (!isLeaf(cur)) { result.add(cur.data); // Add non-leaf nodes to result } cur = (cur.left != null) ? cur.left : cur.right; // Prioritize left child, move to right if left is null } // Add leaf nodes addLeaves(root, result); // Handle the right boundary using a stack (reverse order) cur = root.right; Deque<Integer> stack = new LinkedList<>(); if (cur != null && root.left == null) { return result; } while (cur != null) { if (!isLeaf(cur)) { stack.push(cur.data); // Temporarily store right boundary nodes in a stack } cur = (cur.right != null) ? cur.right : cur.left; // Prioritize right child, move to left if right is null } // Add the right boundary nodes from the stack to maintain the correct order while (!stack.isEmpty()) { result.add(stack.pop()); } return result; } }