Tree Data Structure Last Updated : 06 Jul, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report Tree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most three childrenN-ary Tree : Every node has at most n children. Applications of Tree1. Height of a NodeThe height of a node is the number of edges on the longest path from that node to a leaf. Leaf nodes have height 0. 2. Depth of a NodeThe depth of a node is the number of edges from the root to that node. The root node has depth 0. Basics of Tree Data StructureIntroduction to TreeTypes of Trees in Data StructuresApplications of tree data structureBinary TreeBinary Tree GuideApplications of Binary TreeProperties of Binary TreeTyes of Binary TreeInorder TraversalPreorder TraversalPostorder TraversalLevel Order Tree TraversalHeight or Depth Level of a Given Node in TreeSearch a Node Find the ParentInsertionDeletion Enumeration of Binary TreesFind all Leaf nodesArray ImplementationBinary Search TreeBinary Search Tree Guide Applications Searching Insertion Traversals – Inorder, Preorder, Post OrderDeletion More Problems on Binary Search TreeAVL TreeAVL Tree Data Structure InsertionDeletion Weak AVL or Rank Balanced Trees AVL with duplicate keysCount greater nodes in AVL treeHow to insert Strings into an AVL TreeMinimum nodes in an AVL Tree with given heightOptimal sequence for AVL tree insertionDifferent shapes of AVL possible at height hRed-Black TreeIntroduction to Red-Black Tree Insertion in Red-Black TreeRed-Black Trees | Top-Down InsertionDeletion in Red-Black TreeApplications, Advantages, and Disadvantages of Red-Black TreeTernary Search TreeTernary Search TreeTernary Search Tree meaning & definition in DSATernary Search Tree (Deletion)How to implement text Auto-complete feature using Ternary Search TreeLongest word in ternary search treen-ary or Generic TreeGeneric Trees(N-ary Trees)What is Generic Tree or N-ary TreeDepth of an N-ary TreeChildren of a Node in an N-ary Tree Find Siblings in an N-ary TreeMirror of n-ary TreeDiameter of an N-ary TreeLevel Order Traversal of N-ary TreeSum of all elements of N-ary TreeSerialize and Deserialize an N-ary TreeB TreeIntroduction of B-TreeWhat is B-Tree? | B-Tree meaningInsert Operation in B-TreeDelete Operation in B-TreeB-Tree Insert without aggressive splittingB+ TreeIntroduction of B+ TreeWhat is B+ Tree | B+ Tree meaningInsertion in a B+ treeDeletion in B+ TreeOther types of TreesTernary Tree:What is Ternary TreeCreate a Doubly Linked List from a Ternary TreeInterval Tree:Interval TreeInterval Tree using GNU Tree-based container2-3-4 Tree:2-3-4 Tree2-3 Trees | (Search, Insert, and Deletion)Trees vs other Data StructuresDifference between graph and treeComparison between Heap and TreeWhat is the difference between Heap and Red-Black Tree?Difference between Binary Search Tree and Binary HeapDifference between Stack and TreeDifference between an array and a treeComparison among different Tree Data StructuresDifference between General tree and Binary treeDifference between Binary Tree and Binary Search TreeDifference between Binary tree and B-treeDifference between B tree and B+ treeDifference between Full and Complete Binary TreeDifference between Binary Search Tree and AVL TreeRed Black Tree vs AVL TreeProblems based on Tree Data StructureProblemsDifficulty LevelSolveHeight of Binary TreeEasySolveDetermine if two trees are identicalEasySolveMirror treeEasySolveSymmetric TreeEasySolveDiameter of treeEasySolveChecked for Balanced treeEasySolveChildren Sum ParentEasySolveCheck for BSTEasySolveArray to BSTEasySolveLargest value in each level of binary treeEasySolveMaximum GCD of siblings of a binary treeEasySolveZigzag Tree TraversalEasySolveInorder Successor in BSTEasySolveKth Largest Element in a BSTEasySolveCheck if subtreeMediumSolveSingle Valued SubtreeMediumSolveUnique BSTsMediumSolveInorder Traversal (iterative)MediumSolvePreorder Traversal (iterative)MediumSolvePostorder Traversal(iterative)MediumSolveVertical Traversal of a Binary TreeMediumSolveBoundary TraversalMediumSolveConstruct Binary Tree from Parent arrayMediumSolveConstruct Binary Tree from Preorder and Inorder TraversalMediumSolvePreorder Traversal and BSTMediumSolveConstruct tree from preorder traversalMediumSolveMinimum distance between two given nodesMediumSolveMaximum sum leaf to root pathMediumSolveOdd Even Level DifferenceMediumSolveLowest Common Ancestor of a Binary TreeMediumSolveAncestors in Binary TreeMediumSolveRemove BST keys outside the given rangeMediumSolvePair with given target in BSTMediumSolveSum TreeMediumSolveBST to greater sum treeMediumSolveBST to max heapMediumSolveClone binary tree with random pointerMediumSolveMaximum sum of non adjacent nodesMediumSolveLargest BST in a Binary TreeMediumSolveExtreme nodes in alternate orderMediumSolveConnect nodes at same levelHardSolveNodes at given distance in a Binary TreeHardSolveSorted Linked List to BSTHardSolveBinary Tree to Doubly Linked ListHardSolveMaximum sum path between two leaf nodesHardSolveK-Sum PathsHardSolveNumber of turns in a binary treeHardSolveMerge two BST’sHardSolveFixing two nodes of a BSTHardSolveBurn Binary TreeHardSolveQuick Links:Practice problems on Trees Quizzes on Tree Comment More infoAdvertise with us Next Article Graph Data Structure K kartik Follow Improve Article Tags : Tree DSA Practice Tags : Tree Similar Reads DSA Tutorial - Learn Data Structures and Algorithms DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. 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