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More Traversal Algorithms: [[BFS]] (Breadth-first search) and [[BFT]] (Breadth-first traversal) {{,}} [[DFS]] (depth first search) and [[DFT]] (Depth-first traversal) | More Traversal Algorithms: [[BFS]] (Breadth-first search) and [[BFT]] (Breadth-first traversal) {{,}} [[DFS]] (depth first search) and [[DFT]] (Depth-first traversal) | ||
[[Trees/OOP]] {{,}} [[Tree Traversal/OOP]] {{,}} [[Tree Traversal/Template Method Pattern]] | |||
Tree operations: [[Trees/Operations Performance]] {{,}} [[Trees/Removal]] | Tree operations: [[Trees/Operations Performance]] {{,}} [[Trees/Removal]] | ||
Revision as of 16:44, 18 June 2017
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Trees
Abstract data type: Trees/ADT Concrete implementations: Trees/LinkedTree · Trees/ArrayTree
Tree Algorithms Traversal algorithms: Trees/Preorder · Binary Trees/Inorder · Trees/Postorder More Traversal Algorithms: BFS (Breadth-first search) and BFT (Breadth-first traversal) · DFS (depth first search) and DFT (Depth-first traversal) Trees/OOP · Tree Traversal/OOP · Tree Traversal/Template Method Pattern Tree operations: Trees/Operations Performance · Trees/Removal
Tree Applications Expression Trees · (Skiena Ch 3) Find Min in Log N Time: Tree/LogN Min Search
Abstract data type: Binary Trees/ADT Concrete implementations: Binary Trees/LinkedBinTree · Binary Trees/ArrayBinTree Binary Trees/Cheat Sheet · Binary Trees/OOP · Binary Trees/Implementation Notes
Abstract data type: Binary Search Trees/ADT Implementation: Java/Binary Search Trees
Heaps are implemented as value-sorting trees with minimum at top. Priority Queues are implemented using Heaps. Heaps are Binary Trees useful for sorting.
Types: AVL Trees · Splay Trees · 2-4 Trees · Red Black Trees
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