Chapter 9: Tree Algorithm from Elements of Programming Interviews


is Tree balanaced
public boolean isBalanced(TreeNode root) {
if (root == null)
return true;

if (getHeight(root) == -1)
return false;

return true;
}

public int getHeight(TreeNode root) {
if (root == null)
return 0;

int left = getHeight(root.left);
int right = getHeight(root.right);

if (left == -1 || right == -1)
return -1;

if (Math.abs(left - right) > 1) {
return -1;
}

return Math.max(left, right) + 1;

}
  private static <T> int getHeight(BinaryTree<T> n) {
    if (n == null) {
      return -1;
    }

    int lHeight = getHeight(n.getLeft());
    if (lHeight == -2) {
      return -2; // left subtree is not balanced.
    }

    int rHeight = getHeight(n.getRight());
    if (rHeight == -2) {
      return -2; // right subtree is not balanced.
    }

    if (Math.abs(lHeight - rHeight) > 1) {
      return -2; // current node n is not balanced.
    }
    return Math.max(lHeight, rHeight) + 1;
  }


KBalancedBinaryTree - todo - return node which is not k blanaced but all descendent is k balanced
  private static <T> Pair<BinaryTree<T>, Integer> findNonKBalancedNodeHelper(
      BinaryTree<T> n, int k) {
    // Empty tree.
    if (n == null) {
      return new Pair<BinaryTree<T>, Integer>(null, 0);
    }

    // Early return if left subtree is not k-balanced.
    Pair<BinaryTree<T>, Integer> L = findNonKBalancedNodeHelper(n.getLeft(), k);
    if (L.getFirst() != null) {
      return L;
    }
    // Early return if right subtree is not k-balanced.
    Pair<BinaryTree<T>, Integer> R = findNonKBalancedNodeHelper(n.getRight(), k);
    if (R.getFirst() != null) {
      return R;
    }

    int nodeNum = L.getSecond() + R.getSecond() + 1; // # of nodes in n.
    if (Math.abs(L.getSecond() - R.getSecond()) > k) {
      return new Pair<BinaryTree<T>, Integer>(n, nodeNum);
    }
    return new Pair<BinaryTree<T>, Integer>(null, nodeNum);
  }
Symmetric Binary Tree
  private static <T> boolean isSymmetricHelper(BinaryTree<T> l, BinaryTree<T> r) {
    if (l == null && r == null) {
      return true;
    } else if (l != null && r != null) {
      return equals(l.getData(), r.getData())
          && isSymmetricHelper(l.getLeft(), r.getRight())
          && isSymmetricHelper(l.getRight(), r.getLeft());
    } else { // (l != null && r == null) || (l == null && r != null)
      return false;
    }
  }

Binary Tree Lock
  // @include
  public static class BinaryTree<T> {
    private BinaryTree<T> left, right, parent;
    private boolean locked;
    private int numChildrenLocks;

    public boolean isLock() {
      return locked;
    }

    public void lock() {
      if (numChildrenLocks == 0 && !locked) {
        // Make sure all parents do not lock.
        BinaryTree<T> n = parent;
        while (n != null) {
          if (n.locked) {
            return;
          }
          n = n.parent;
        }

        // Lock itself and update its parents.
        locked = true;
        n = parent;
        while (n != null) {
          ++n.numChildrenLocks;
          n = n.parent;
        }
      }
    }

    public void unlock() {
      if (locked) {
        // Unlock itself and update its parents.
        locked = false;
        BinaryTree<T> n = parent;
        while (n != null) {
          --n.numChildrenLocks;
          n = n.parent;
        }
      }
    }

Inorder Traversal With Parent Node
  public static <T> void inOrderTraversal(BinaryTree<T> r) {
    // Empty tree.
    if (r == null) {
      return;
    }

    BinaryTree<T> prev = null, curr = r, next;
    while (curr != null) {
      if (prev == null || prev.getLeft() == curr || prev.getRight() == curr) {
        if (curr.getLeft() != null) {
          next = curr.getLeft();
        } else {
          System.out.println(curr.getData());
          next = (curr.getRight() != null ? curr.getRight() : curr.getParent());
        }
      } else if (curr.getLeft() == prev) {
        System.out.println(curr.getData());
        next = (curr.getRight() != null ? curr.getRight() : curr.getParent());
      } else {
        next = curr.getParent();
      }

      prev = curr;
      curr = next;
    }
  }

Find Kth node with size field
  public static <T> BinaryTree<T> findKthNodeBinaryTree(BinaryTree<T> root,
      int k) {
    BinaryTree<T> n = root;
    while (n != null) {
      int leftSize = n.getLeft() != null ? n.getLeft().getSize() : 0;
      if (leftSize < k - 1) {
        k -= (leftSize + 1);
        n = n.getRight();
      } else if (leftSize == k - 1) {
        return n;
      } else { // leftSize > k - 1.
        n = n.getLeft();
      }
    }
    throw new RuntimeException("no k-th node in binary tree");
  }

Reconstruct Binary Tree PreInOrders
  public static <T> BinaryTree<T> reconstructPreInOrders(ArrayList<T> pre,
      ArrayList<T> in) {
    return reconstructPreInOrdersHelper(pre, 0, pre.size(), in, 0, in.size());
  }

  private static <T> BinaryTree<T> reconstructPreInOrdersHelper(
      ArrayList<T> pre, int preS, int preE, ArrayList<T> in, int inS, int inE) {
    if (preE > preS && inE > inS) {
      int it = in.subList(inS, inE).indexOf(pre.get(preS));
      it = it < 0 ? inE : (it + inS);
      int leftTreeSize = it - inS;

      return new BinaryTree<T>(pre.get(preS), reconstructPreInOrdersHelper(pre,
          preS + 1, preS + 1 + leftTreeSize, in, inS, it),
          reconstructPreInOrdersHelper(pre, preS + 1 + leftTreeSize, preE, in,
              it + 1, inE));
    }
    return null;
  }

Reconstruct Binary Tree Post InOrders
  private static <T> BinaryTree<T> reconstructPostInOrdersHelper(
      ArrayList<T> post, int postS, int postE, ArrayList<T> in,
          int inS, int inE) {
    if (postE > postS && inE > inS) {
      int it = in.subList(inS, inE).indexOf(post.get(postE - 1));
      it = it < 0 ? inE : (it + inS);
      int leftTreeSize = it - inS;
      return new BinaryTree<T>(post.get(postE - 1),
      // Recursively build the left subtree.
          reconstructPostInOrdersHelper(post, postS, postS + leftTreeSize, in,
              inS, it),
          // Recursively build the right subtree.
          reconstructPostInOrdersHelper(post, postS + leftTreeSize, postE - 1,
              in, it + 1, inE));
    }
    return null;
  }

  public static <T> BinaryTree<T> reconstructPostInOrders(ArrayList<T> post,
      ArrayList<T> in) {
    return reconstructPostInOrdersHelper(post, 0, post.size(), in, 0, in.size());
  }

Reconstruct Preorder With Null for empty children
  public static <T> BinaryTree<T> reconstructPreorder(ArrayList<T> preorder) {
    LinkedList<BinaryTree<T>> s = new LinkedList<BinaryTree<T>>();
    for (int i = preorder.size() - 1; i >= 0; i--) {
      if (preorder.get(i) == null) {
        s.push(null);
      } else {
        BinaryTree<T> l = s.pop();
        BinaryTree<T> r = s.pop();
        s.push(new BinaryTree<T>(preorder.get(i), l, r));
      }
    }
    return s.peek();
  }
Connect Leaves Binary Tree
  private static <T> void connectLeavesHelper(BinaryTree<T> n,
      ArrayList<BinaryTree<T>> L) {
    if (n != null) {
      if (n.getLeft() == null && n.getRight() == null) {
        L.add(n);
      } else {
        connectLeavesHelper(n.getLeft(), L);
        connectLeavesHelper(n.getRight(), L);
      }
    }
  }

Exterior Binary Tree - todo
  private static <T> void leftBoundaryBTree(BinaryTree<T> n, boolean isBoundary) {
    if (n != null) {
      if (isBoundary || (n.getLeft() == null && n.getRight() == null)) {
        System.out.print(n.getData() + " ");
      }
      leftBoundaryBTree(n.getLeft(), isBoundary);
      leftBoundaryBTree(n.getRight(), isBoundary && n.getLeft() == null);
    }
  }

  private static <T> void rightBoundaryBTree(
      BinaryTree<T> n, boolean isBoundary) {
    if (n != null) {
      rightBoundaryBTree(n.getLeft(), isBoundary && n.getRight() == null);
      rightBoundaryBTree(n.getRight(), isBoundary);
      if (isBoundary || (n.getLeft() == null && n.getRight() == null)) {
        System.out.print(n.getData() + " ");
      }
    }
  }

  public static <T> void exteriorBinaryTree(BinaryTree<T> root) {
    if (root != null) {
      System.out.print(root.getData() + " ");
      leftBoundaryBTree(root.getLeft(), true);
      rightBoundaryBTree(root.getRight(), true);
    }
  }

Lowest common ancestor without parent node
  public static <T> BinaryTree<T> LCA(BinaryTree<T> n, BinaryTree<T> a,
      BinaryTree<T> b) {
    if (n == null) { // empty subtree.
      return null;
    } else if (n == a || n == b) {
      return n;
    }

    BinaryTree<T> lRes = LCA(n.getLeft(), a, b), rRes = LCA(n.getRight(), a, b);
    if (lRes != null && rRes != null) {
      return n;
    } else {
      return lRes != null ? lRes : rRes;
    }
  }

Lowest common ancestor with parent node
  private static <T> int getDepth(BinaryTree<T> n) {
    int d = 0;
    while (n != null) {
      ++d;
      n = n.getParent();
    }
    return d;
  }

  public static <T> BinaryTree<T> LCA(BinaryTree<T> i, BinaryTree<T> j) {
    int depthI = getDepth(i), depthJ = getDepth(j);
    if (depthJ > depthI) {
      BinaryTree<T> temp = i;
      i = j;
      j = temp;
    }

    // Advance deeper node first.
    int depthDiff = Math.abs(depthI - depthJ);
    while (depthDiff-- > 0) {
      i = i.getParent();
    }

    // Both pointers advance until they found a common ancestor.
    while (i != j) {
      i = i.getParent();
      j = j.getParent();
    }
    return i;
  }

LowestCommonAncestorHash
  public static <T> BinaryTree<T> LCA(BinaryTree<T> i, BinaryTree<T> j) {
    HashSet<BinaryTree<T>> hash = new HashSet<BinaryTree<T>>();
    while (i != null || j != null) {
      if (i != null) {
        if (hash.add(i) == false) {
          return i; // adds a failed because a exists in hash.
        }
        i = i.getParent();
      }
      if (j != null) {
        if (hash.add(j) == false) {
          return j; // adds a failed because a exists in hash.
        }
        j = j.getParent();
      }
    }
    // Throw error if a and b are not in the same tree.
    throw new RuntimeException("a and b are not in the same tree");
  }
Shortest Unique Prefix
    public String getShortestUniquePrefix(String s) {
      TrieNode p = root;
      StringBuilder prefix = new StringBuilder();
      for (char c : s.toCharArray()) {
        prefix.append(c);
        if (!p.getLeaves().containsKey(c)) {
          return prefix.toString();
        }
        p = p.getLeaves().get(c);
      }
      return "";
    }
  public static String findShortestPrefix(String s, HashSet<String> D) {
    // Build a trie according to given dictionary D.
    Trie T = new Trie();
    for (String word : D) {
      T.insert(word);
    }
    return T.getShortestUniquePrefix(s);
  }

Labels

LeetCode (1432) GeeksforGeeks (1122) LeetCode - Review (1067) Review (882) Algorithm (668) to-do (609) Classic Algorithm (270) Google Interview (237) Classic Interview (222) Dynamic Programming (220) DP (186) Bit Algorithms (145) POJ (141) Math (137) Tree (132) LeetCode - Phone (129) EPI (122) Cracking Coding Interview (119) DFS (115) Difficult Algorithm (115) Lintcode (115) Different Solutions (110) Smart Algorithm (104) Binary Search (96) BFS (91) HackerRank (90) Binary Tree (86) Hard (79) Two Pointers (78) Stack (76) Company-Facebook (75) BST (72) Graph Algorithm (72) Time Complexity (69) Greedy Algorithm (68) Interval (63) Company - Google (62) Geometry Algorithm (61) Interview Corner (61) LeetCode - Extended (61) Union-Find (60) Trie (58) Advanced Data Structure (56) List (56) Priority Queue (53) Codility (52) ComProGuide (50) LeetCode Hard (50) Matrix (50) Bisection (48) Segment Tree (48) Sliding Window (48) USACO (46) Space Optimization (45) Company-Airbnb (41) Greedy (41) Mathematical Algorithm (41) Tree - Post-Order (41) ACM-ICPC (40) Algorithm Interview (40) Data Structure Design (40) Graph (40) Backtracking (39) Data Structure (39) Jobdu (39) Random (39) Codeforces (38) Knapsack (38) LeetCode - DP (38) Recursive Algorithm (38) String Algorithm (38) TopCoder (38) Sort (37) Introduction to Algorithms (36) Pre-Sort (36) Beauty of Programming (35) Must Known (34) Binary Search Tree (33) Follow Up (33) prismoskills (33) Palindrome (32) Permutation (31) Array (30) Google Code Jam (30) HDU (30) Array O(N) (29) Logic Thinking (29) Monotonic Stack (29) Puzzles (29) Code - Detail (27) Company-Zenefits (27) Microsoft 100 - July (27) Queue (27) Binary Indexed Trees (26) TreeMap (26) to-do-must (26) 1point3acres (25) GeeksQuiz (25) Merge Sort (25) Reverse Thinking (25) hihocoder (25) Company - LinkedIn (24) Hash (24) High Frequency (24) Summary (24) Divide and Conquer (23) Proof (23) Game Theory (22) Topological Sort (22) Lintcode - Review (21) Tree - Modification (21) Algorithm Game (20) CareerCup (20) Company - Twitter (20) DFS + Review (20) DP - Relation (20) Brain Teaser (19) DP - Tree (19) Left and Right Array (19) O(N) (19) Sweep Line (19) UVA (19) DP - Bit Masking (18) LeetCode - Thinking (18) KMP (17) LeetCode - TODO (17) Probabilities (17) Simulation (17) String Search (17) Codercareer (16) Company-Uber (16) Iterator (16) Number (16) O(1) Space (16) Shortest Path (16) itint5 (16) DFS+Cache (15) Dijkstra (15) Euclidean GCD (15) Heap (15) LeetCode - Hard (15) Majority (15) Number Theory (15) Rolling Hash (15) Tree Traversal (15) Brute Force (14) Bucket Sort (14) DP - Knapsack (14) DP - Probability (14) Difficult (14) Fast Power Algorithm (14) Pattern (14) Prefix Sum (14) TreeSet (14) Algorithm Videos (13) Amazon Interview (13) Basic Algorithm (13) Codechef (13) Combination (13) Computational Geometry (13) DP - Digit (13) LCA (13) LeetCode - DFS (13) Linked List (13) Long Increasing Sequence(LIS) (13) Math-Divisible (13) Reservoir Sampling (13) mitbbs (13) Algorithm - How To (12) Company - Microsoft (12) DP - Interval (12) DP - Multiple Relation (12) DP - Relation Optimization (12) LeetCode - Classic (12) Level Order Traversal (12) Prime (12) Pruning (12) Reconstruct Tree (12) Thinking (12) X Sum (12) AOJ (11) Bit Mask (11) Company-Snapchat (11) DP - Space Optimization (11) Dequeue (11) Graph DFS (11) MinMax (11) Miscs (11) Princeton (11) Quick Sort (11) Stack - Tree (11) 尺取法 (11) 挑战程序设计竞赛 (11) Coin Change (10) DFS+Backtracking (10) Facebook Hacker Cup (10) Fast Slow Pointers (10) HackerRank Easy (10) Interval Tree (10) Limited Range (10) Matrix - Traverse (10) Monotone Queue (10) SPOJ (10) Starting Point (10) States (10) Stock (10) Theory (10) Tutorialhorizon (10) Kadane - Extended (9) Mathblog (9) Max-Min Flow (9) Maze (9) Median (9) O(32N) (9) Quick Select (9) Stack Overflow (9) System Design (9) Tree - Conversion (9) Use XOR (9) Book Notes (8) Company-Amazon (8) DFS+BFS (8) DP - States (8) Expression (8) Longest Common Subsequence(LCS) (8) One Pass (8) Quadtrees (8) Traversal Once (8) Trie - Suffix (8) 穷竭搜索 (8) Algorithm Problem List (7) All Sub (7) Catalan Number (7) Cycle (7) DP - Cases (7) Facebook Interview (7) Fibonacci Numbers (7) Flood fill (7) Game Nim (7) Graph BFS (7) HackerRank Difficult (7) Hackerearth (7) Inversion (7) Kadane’s Algorithm (7) Manacher (7) Morris Traversal (7) Multiple Data Structures (7) Normalized Key (7) O(XN) (7) Radix Sort (7) Recursion (7) Sampling (7) Suffix Array (7) Tech-Queries (7) Tree - Serialization (7) Tree DP (7) Trie - Bit (7) 蓝桥杯 (7) Algorithm - Brain Teaser (6) BFS - Priority Queue (6) BFS - Unusual (6) Classic Data Structure Impl (6) DP - 2D (6) DP - Monotone Queue (6) DP - Unusual (6) DP-Space Optimization (6) Dutch Flag (6) How To (6) Interviewstreet (6) Knapsack - MultiplePack (6) Local MinMax (6) MST (6) Minimum Spanning Tree (6) Number - Reach (6) Parentheses (6) Pre-Sum (6) Probability (6) Programming Pearls (6) Rabin-Karp (6) Reverse (6) Scan from right (6) Schedule (6) Stream (6) Subset Sum (6) TSP (6) Xpost (6) n00tc0d3r (6) reddit (6) AI (5) Abbreviation (5) Anagram (5) Art Of Programming-July (5) Assumption (5) Bellman Ford (5) Big Data (5) Code - Solid (5) Code Kata (5) Codility-lessons (5) Coding (5) Company - WMware (5) Convex Hull (5) Crazyforcode (5) DFS - Multiple (5) DFS+DP (5) DP - Multi-Dimension (5) DP-Multiple Relation (5) Eulerian Cycle (5) Graph - Unusual (5) Graph Cycle (5) Hash Strategy (5) Immutability (5) Java (5) LogN (5) Manhattan Distance (5) Matrix Chain Multiplication (5) N Queens (5) Pre-Sort: Index (5) Quick Partition (5) Quora (5) Randomized Algorithms (5) Resources (5) Robot (5) SPFA(Shortest Path Faster Algorithm) (5) Shuffle (5) Sieve of Eratosthenes (5) Strongly Connected Components (5) Subarray Sum (5) Sudoku (5) Suffix Tree (5) Swap (5) Threaded (5) Tree - Creation (5) Warshall Floyd (5) Word Search (5) jiuzhang (5)

Popular Posts