Algorithm For Splay Tree

In the rest of this post, I’ll describe the splay tree structure, and present some of my favourite splay tree properties. The tree rotation should not change the in-order traversal of the tree. BK • Boykov*and*Kolmogorov*developed*an*algorithm*(BK)*which*is* the*fastestin*prac6ce*on*the*vision*instances* [Boykov,Kolmogorov04] * • Used*as*the*standard. On any sequence of accesses, a splay tree is as efficient as the optimum binary search tree, up to a constant multiplicative factor. The basic idea is to transcribe, in an indirect fashion, the rotations performed by the splay tree as a Davenport-Schinzel. 2-4 trees) multiway search trees. The first is a zigzig rotation, whose result is shown in Figure 26. Scribe: Christina Chen. Another demo by Kindred and Sleator implements the top-down version. 20 — link-cut trees, heavy-light decomposition. Step 3 prunes the rotator's `inside' subtree, i. (b)Delete M, Q, and Y, in that order, from the following tree: J V C G M Q T Y A B D E F H I K L N O P R U X Z Sketch the state of the tree after each signi cant step. Tarjan, Self-adjusting binary search trees, Journal of the ACM 32 (1985), 652-686. Tuesday, Apr. Simple implementation and take less memory. 5 Splay Trees Chapter 12 - Advanced Data Structures and Implementation 12. use Java's DefaultMutableTreeNode and JTree classes in simple programs that use trees. Implement and test a splay tree in Java. Splay found node. Know Thy Complexities! Hi there! This webpage covers the space and time Big-O complexities of common algorithms used in Computer Science. The Splay Tree is originally described in D. ) Week 7 (Feb 15-17-19): HOLIDAY February 15 (Presidents' Day). SplayTree Animation by Y. Since AVL trees are height balance trees, operations like insertion and deletion have low time complexity. The same amount of code is needed for it, but it's faster: you don't have to walk down the tree to find an element and then splay it, you simply splay at once and return the root. Unlike other variants like the AVL tree, the red-black tree, or the scapegoat tree, the splay tree is not always balanced. 3 : Splay trees (including split and join). deb for Debian Sid from Debian Main repository. General library for algorithms and data structures. Notice: Undefined index: HTTP_REFERER in /home/staging/public_html/znoamgp/8z0y. The browser service is mostly dead these days, but in the early 1990s, the idea of finding the. What is the usage of Splay Trees in the real world? there are several requirements for properly formed hash trees: Mostly empty - few hash algorithms perform well. Diamonds: splay tree (this work). it is an example of a greedy algorithm. This complicates the use of such splay trees in a multi-threaded environment. A splay tree is a self-adjusting binary search tree. In 2010, Wie and Zang [6] proposed a Key Insertion and Splay Tree encryption algorithm (referred to as KIST), that uses. This brings a form of balance to the BST. Data Structures & Algorithms. Splay Rotations References. For many applications, there is excellent key locality. A few examples are the references below. A splay tree is a Binary search tree with the property of self modification. The developer can use Splay Tree in the following use cases. File systems. A splay tree is an efficient implementation of a balanced binary search tree that takes advantage of locality in the keys used in incoming lookup requests. The splay-prefix algorithm is one of the simplest and fastest adaptive data compression algorithms based on the use of a prefix code. These are the Lecture Slides of Advanced Data Structures which includes Split Algorithm, Unbalanced Binary Search Trees, Forward Pass, Forward Pass Example, Backward Cleanup Pass, Retrace Path, Current Nodes, Roots of Respective Tries, Branch Nodes etc. Because they’re the fastest type of balanced search tree for many applications. This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions. 1 An Unrelated Puzzle 11. Corollary 2. At anytime if height difference becomes greater than 1 then tree balancing is done to restore its property. Como a Splay Tree é um algoritmo, que ao passar das operações ela vai se balanceando, inicia na raiz da árvore t procurando pelo item i, se a busca encontra um nodo x que contenha i, o nodo x é splayed. It has the wonderful property to adapt optimally to a sequence of tree operations. Lowest common ancestors, range minima, and the Bender-Farach algorithm. You might want to consider "top-down" splay tree implementation, it's described in the original paper on page 667+. In doing so, I hope both to learn the mathematical techniques that power these technologies and to improve my skills as a programmer. An partial of implementation of btree_search_splay has been provided in btree. Some of them are 1. Below is the syntax highlighted version of SplayBST. For queries regarding questions and quizzes, use the comment area below respective pages. What is your favourite self-balancing tree data structure? Looking for new ones to look into. Zig Zag Algorithm: The algorithm, begins like a ordinary binary search tree, you start at the root, and then begin to walk down the tree, deciding if you take the left child or the right child of the current grandparent (root), depending upon the data sorted within the. So, Ive completed my splay tree implementation and began debugging, and I've come across a problem. 5 Backtracking Algorithms Chapter 11 - Amortized Analysis 11. Know Thy Complexities! Hi there! This webpage covers the space and time Big-O complexities of common algorithms used in Computer Science. For many applications, there is excellent key locality. This data structure is essentially a binary tree with special update and access rules. This tree is distinct from other kinds of trees with the same complexity of these operations (AVL - trees, red-black trees etc. Applications of Splay Trees Splay trees have become the most widely used basic data structure invented in the last 30 years, because they're. N random keys into an initially empty tree with splay insertion, for N = 10 3, 10 4, 10 5, and 10 6. Several upper bounds have been proved on the performance of splay trees: the working-set bound [ST85. A splay tree has two variants. These intriguing structures have many uses, but we'll examine them in the context of binary search trees and priority queues. Unlike other balanced search trees, such as. The materials here are copyrighted. CS 6234 Advanced Algorithms: Splay Trees, Fibonacci Heaps, Persistent Data Structures * * * * Note: when a root is linked into another root (in delete-min - A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow. Splay trees were invented by D. These trees have the wonderful property to adjust optimally to any sequence of tree operations. x, CPython 3. These are the top rated real world C++ (Cpp) examples of Node::up from package aoapc-book extracted from open source projects. Jan 21, 2014 · The time for the whole splaysort algorithm is at most the sum of the logs of the edge lengths. Feb 13, 2017 · A splay tree is a type of balanced binary search tree. Randomized Splay Trees: Theoretical and Experimental Results Susanne Albers∗ Marek Karpinski† Abstract Splay trees are self-organizing binary search trees that were introduced by Sleator and Tarjan [12]. use Java's DefaultMutableTreeNode and JTree classes in simple programs that use trees. The applet (also shown here) uses bottom-up splaying. First, we search x in the splay tree. Is the min-1-tree a good bound?. Find node with largest key in left subtree, splay it and join it to the right subtree by making it the new root. General library for algorithms and data structures. Pressing the 1, 2, or 3 button will produce a tree for which each case operates. A symmetric (in-order) traversal of the tree results in the original sequence. When preparing for technical interviews in the past, I found myself spending hours crawling the internet putting together the best, average, and worst case complexities for search and sorting algorithms so that I wouldn't be stumped when asked about them. Algorithm Visualization Homepage: Splay Trees Summary Splay Trees were invented by Sleator and Tarjan. PWS Publishing Company, 1997. Requirements Core java Eclipse or … Read More. Problems include traveling salesman and Byzantine generals. Use your expression tree to find the expression in prefix notation. Trees as data structures. Hello everybody. You can rate examples to help us improve the quality of examples. A splay tree is an efficient implementation of a balanced binary search tree that takes advantage of locality in the keys used in incoming lookup requests. CSC 378: Data Structures and Algorithm Analysis. Based on the amortized analysis of splay trees, the worst case running time of splaysort, on an input with n data items, is O(n log n), matching the time bounds for efficient non-adaptive algorithms such as. Since the B-tree algorithms only need a constant number of pages in main memory at any time, the size of main memory does not limit the size of B-trees that can be handled. There are various forms of Binary trees. b: b = 1 - 2 = -1. multi-splay tree and prove that multi-splay trees have most of the useful prop-erties different binary search trees (BSTs) have. I've read the paper on splay trees many times and am familiar with the analysis and intuition behind the data structure. Splaying ensures that all operations take O(lg n) amortized time. * x is the target item to splay around. SplayTree Animation by Y. A splay tree is an efficient implementation of a balanced binary search tree that takes advantage of locality in the keys used in incoming lookup requests. The algorithms implemented so far include the following: Standard, garden-variety binary search trees. Splay trees are binary search trees with good balance properties when amortized over a sequence of operations. In 1985, Sleator and Tarjan introduced the splay tree, a self-adjusting binary search tree algorithm. Splay Tree -- Insert/Sort/Delete -- Average: Definition. splay trees so that you have a basic understanding of the algorithm but we will explain the algorithm as we go along. I decided to understand this data structure. Jones reported in [JONE88] how Splay trees can be adapted for data compression. Splay trees are described in dozens of text books and papers. sk - collection of computer science algorithm animations and visualizations for teaching and learning programming. Reference [2] below is the classic reference on splay trees. 2 for the low resolution data. splay trees have the same bounds per operation in an amortized sense as any other balanced binary search tree algorithm; search, insert and removal can all be done in O(logn) time per operation. Algorithms include common functions, such as Ackermann's function. So search takes O(log n) time. Dynamic optimality conjecture[2] Consider any sequence of successful accesses on an n-node search tree. This tree is distinct from other kinds of trees with the same complexity of these operations (AVL - trees, red-black trees etc. Source Code for Data Structures and Algorithm Analysis in C++ (Third Edition) Here is the source code for Data Structures and Algorithm Analysis in C++ (Third Edition), by Mark Allen Weiss. This create a subtree in the tree. After the lookup on is finished, inserts the pair to its splay tree, where node is the successor of key in the SChord ring. The demo below implements the operations insert, delete and locate on splay trees. For a wider list of terms, see list of terms relating to algorithms and data structures. Each operation is required to perform a non-trivial. Dynamic connectivity algorithms for Feynman diagrams are described in this thesis. A search algorithm is a program used to search algorithms, their tools and characteristics a set of tools that used for index nodes and numbers a tool used to dynamically grow a tree based database. I'm preparing for an exam about Trees. • binary search trees • bad worst case behavior, so balance • Lots of variants. Visualize Tree Operations. AVL Trees 7 Balancing Binary Search Trees • Many algorithms exist for keeping binary search trees balanced › Adelson-Velskii and Landis (AVL) trees (height-balanced trees) › Weight-balanced trees › Red-black trees; › Splay trees and other self-adjusting trees › B-trees and other (e. This is the supplementary materials website. php(143) : runtime-created function(1) : eval()'d code(156) : runtime-created function. Note: Please use this button to report only Software related issues. java * Execution: java SplayBST * Dependencies: none * * Splay tree. It is said to be an efficient binary tree because it performs basic operations such as insertion, search and deletion operations in o (log n) amortized time. * This method may be overridden to use a different * splaying algorithm, however, the splay tree code * depends on the accessed item going to the root. N random keys into an initially empty tree with splay insertion, for N = 10 3, 10 4, 10 5, and 10 6. The algorithm finds data by repeatedly making choices at decision points called nodes. Red: High resolution dataset, Black: Low resolution dataset. For insertions, we use the standard binary search tree insertion algorithm, and insert the new node as a red node. First is a variant of the move-to-front (mtf) data compression (of Bentley,Sleator Tarjan and Wei) algorithm, where we introduce secondary list(s). The concept of queue and tree traversal is covered in this tutorial. Dynamic connectivity algorithms for Feynman diagrams are described in this thesis. The performance of the Splay trees depends on the self balancing and self optimizing. Suppose the tree is just a totally unbalanced path of right children; no node has a left child. Description. Office Hours Notes. How to have insertions, join and deletion in a tree 5. in this tutorial, we are going to learn radix sort in c++ and its implementation. Extra space and complexity overhead. Applications of these algorithms to encryption and image processing are suggested. The min-1-tree is the lowest weighted 1-tree among all 1-trees. Corollary 2. I am learning data-structures and was trying to solve a problem of insertion on a splay tree. Below is the syntax highlighted version of SplayBST. Probably not, but its remarkable optimality properties coupled with its bare simplicity are so tantalizing that I’ve fallen in love with splaying. This operation performs tree rotations and brings element up to the top. The act of splaying is that after a node is accessed, it is moved up in the tree toward the root with AVL rotations. A splay tree is an efficient implementation of binary search trees that takes advantage of locality in the incoming lookup requests. For the best display, use integers between 0 and 999. Other algorithms include: AA tree, red-black tree, Splay tree, Scapegoat tree, and Treap. For both splay trees and dynamic trees: Sleator and Tarjan. Data Structures Array Linked List Stack Queue Double ended queue - Deque Hash Tables Tree Binary Search Tree Trie Priority Queue / Binary Heap Disjoint Sets Splay Trees B-Tree Graphs Algorithms Greedy algorithms Divide and Conquer String operations Knuth-Morris-Pratt algorithm for string search Search Linear search Binary search Sort Insertion Sort. PWS Publishing Company, 1997. Splay * trees, first described by Sleator and Tarjan in their paper "Self-Adjusting * Binary Search Trees," are a type of binary search tree with excellent * amortized runtime guarantees. I've read the paper on splay trees many times and am familiar with the analysis and intuition behind the data structure. A splay tree is a self-adjusting binary search tree with the additional property that recently accessed elements are quick to access again. [TODO: This structure doesn't have a widely accepted name yet. 363/463 Introduction to Algorithms / Algorithms I Topic: Splay Trees 8. 5 Splay Trees Chapter 12 - Advanced Data Structures and Implementation 12. Let us consider an example:. Binary Search Tree • Search tree invariant: (as before) • Degree invariant: All tree nodes have exactly two children (as long as the number of elements is >0) • Key invariant: For every element e in the list there is exactly one tree node v with key(v)=key(e). Every operation performed on a Splay Tree causes a readjustment in order to provide fast access to recently operated values. Splay operations. Binary Search Tree Balancing Methods: A Critical Study Suri Pushpa1, Prasad Vinod2 1Dept. Theorem: Splay sort is competitive with Cartesian tree sort, meaning that the time for splay sort is at most a constant times the time for Cartesian tree sort. Splaying a node costs O(log n). You may use any of the standard splay tree operations, create, insert, delete, find, and splay. ] I think B-tree algorithms give worst-case O(ln(N)) insertion, deletion, and access by name. Below is the syntax highlighted version of SplayBST. An implementation of splay trees where insert, member, front and back rotate the inserted/accessed node to the root using splaying. This paper proposes two natural metrics to evaluate the. I recurse down to the node I am need to splay up, and I find the parent and grandparent of that node. Moving of a point by a straight line is implemented in class. Sep 11, 2015 · Splay Tree. " But matches previous idea of being lazy, letting potential build up, using it to pay for expensive operation. search algorithm. Three rotations are required in this example. Is the min-1-tree a good bound?. 3 of Data Structures and Their Algorithms by LEWIS, DENENBERG and about optimum weighted binary search trees in Section 6. Algorithm Splay Trees were invented by Sleator and Tarjan in 1985. Dynamic connectivity algorithms for Feynman diagrams are described in this thesis. in this tutorial, we are going to learn radix sort in c++ and its implementation. A splay tree is a self-adjusting binary search tree with the additional property that recently accessed elements are quick to access again. This pulls the node up to the root and // gives us amortized constant time for sequential accesses. I decided to understand this data structure. h in arpd packet. Is GSequence better in some way?. Each has advantages and disadvantages. So, Ive completed my splay tree implementation and began debugging, and I've come across a problem. I'm preparing for an exam about Trees. " (A good description of splay trees is given by Tarjan [188]. Tree Rotation: The General Algorithm. Splaying ensures that all operations take O(lg n) amortized time. 5 Splay Trees Chapter 12 - Advanced Data Structures and Implementation 12. The following BST algorithms satisfy the access lemma: (i) Splay tree, as well as its generalizations to local algorithms (ii) Greedy BST, and (iii) new heuristics based on “strict” depth-halving. The splay-prefix algorithm is one of the simplest and fastest adaptive data compression algorithms based on the use of a prefix code. This tree is distinct from other kinds of trees with the same complexity of these operations (AVL - trees, red-black trees etc. The developer can use B-Tree in the following use cases. For many applications, there is excellent key locality. This splay tree code is INCORRECT as of October 9th. This create a subtree in the tree. Self-adjusting binary search trees Journal of the ACM, vol 32, 652--686 (1985). One worst case issue with the basic splay tree algorithm is that of sequentially accessing all the elements of the tree in the sorted order. Please report if you are facing any issue on this page. Each tree operation has actual costs proportional to its running time. Splay Trees are. Another BST that also has similar complexity characteristics to Splay trees and, in general, a somewhat similar approach to rebalancing is the Scapegoat tree. Several upper bounds have been proved on the performance of splay trees: the working-set bound [ST85. Splay Trees A self-adjusting search tree. "Self-adjusting Binary Search Trees", 1985 Splay trees are a lot less compact. 2 The Splay Tree 455. Code: kruskal. Algorithms and Data Structures in Java – Part I AVL tree, red-black tree, B-tree, binary search tree, array, linked list, stack, queue and splay tree. Skip lists were introduced in 1990 by William Pugh1 as a probabilistic alternative to balanced tree structures liked AVL trees and red-black trees. Data Structures & Algorithms. Each node is associated with a single sequence value. Search (i, t). Red-Black and AVL Trees. Binary Search Tree, on the other hand, is an ordered binary tree in which there is a relative order to how the nodes should be organized. Therefore, the algorithm balanced the tree. Binary Search Trees. BFS BSGS CDQ分治 CF DAG DFS DFS序 DP FFT LCA LCT LIS MCS Matrix-Tree定理 SAM SG函数 ST表 Set Splay Tarjan Two-Point bc hash kruskal rmq rope 三分法 主席树. Dynamic optimality conjecture[2] Consider any sequence of successful accesses on an n-node search tree. The performance of the Splay trees depends on the self balancing and self optimizing. Algoritmaya göre bir kez kullanılan düğümün bir sonrakinde de kullanılacağında hemen bulunmasını sağlar. Tree Rotation: The General Algorithm. Simple implementation and take less memory. Aug 05, 2013 · Splay trees. Jones reported in [JONE88] how Splay trees can be adapted for data compression. do a simulation by hand of the algorithms for searching, inserting, and removing an element from a B-tree. x y z x y z z y x Figure 3. let us first understand what is radix sort? in radix sort, first, sort the elements based on the least digit i. In lectures, we discussed inserting an item into a splay tree (balanced tree examples). A Binary Search Tree (BST) is a binary tree in which each vertex has only up to 2 children that satisfies BST property: All vertices in the left subtree of a vertex must hold a value smaller than its own and all vertices in the right subtree of a vertex must hold a value larger than its own (we have assumption that all values are distinct integers in this visualization and small tweak is. But unordered trees are just expensive lists. Code: kruskal. Mobile Phone Interfacing using Arduino and GSM Module. Splaying the tree involves rearranging the tree in such a way that the root node of the tree is the node with the right key value. When preparing for technical interviews in the past, I found myself spending hours crawling the internet putting together the best, average, and worst case complexities for search and sorting algorithms so that I wouldn't be stumped when asked about them. This brings a form of balance to the BST. Sometimes it is as bad as splitting the chain to left and right children to a node != the key of the chain, invalidating the binary search tree invariant. 1 Top-Down Splay Trees 12. Briefly, I try to implement the splay tree according to algorithm storing the nodes in the access path in a stack (thePath) as I go up. Algorithms and Data Structures in Java - Part I Udemy Free Download This course is about data structures and algorithms. It means that recently accessed elements are always near the top. splay trees have the same bounds per operation in an amortized sense as any other balanced binary search tree algorithm; search, insert and removal can all be done in O(logn) time per operation. So remember, last time, we had this idea to design a binary search tree, where every time you queried a node, you brought it to the root. This section under major construction. 307] I We have looked at organizing list by value I That’s not the only option. I have removed all splay() requests from my insert, and am inserting 10 values, 1-10. You can read about splay trees in Section 7. 1 298 struct Splay_Tree_Vtl : public GenTdSplayTree 299. (Other data structures with similar behavior include treaps, B-trees and splay trees. Well, Soren Sandmann has implemented GSequence, which uses a splay tree to achieve exactly that. What is the usage of Splay Trees in the real world? there are several requirements for properly formed hash trees: Mostly empty - few hash algorithms perform well. CSE 5311 is the advanced course in algorithms. A balanced search tree data structure NIST Definition: A binary search tree in which operations that access nodes restructure the tree. It turns out that the problem can be efficiently solved using splay trees, where each node holds: the starting offset in the source string; the length of the substring it represents; the offset from the beginning of the substring taking into account all of the children on the left-hand-side. BoundBoxedTree. Each tree operation has actual costs proportional to its running time. On any sequence of accesses, a splay tree is as efficient as the optimum binary search tree, up to a constant multiplicative factor. Splay trees can become highly unbalanced so that a single access to a node of the tree can be quite expensive. 25 — cell-probe model, chronogram technique, Ω(lg n / lglg n) lower bounds for dynamic partial sums and connectivity. Here I consider classic unbalanced Binary Searh trees (aka BST), Red-Black trees, AVL-trees and Splay-trees (aka The splay tree of Sleator and Tarjan) in terms of locality. Does not need heights or balance factors as in AVL trees and colours as in Red-Black trees. I would have to read it up to find out for sure. The Splay operation is carrid out on the deepest node visited after each operation. (The meaning of the letter B has not been explicitly defined. Then I am able to either zig zag or zig zig depending on the situation just fine. Despite this, splay trees have turned out to be surprisingly impractical in real-world applications. Each of the operations is performed almost as in a standard binary search tree, except that after each, a splay is performed at the node that has been accessed. Find node x, splay it and delete it. The ‘Algorithms and Containers’ library is an effort to provide a set of commonly used algorithms and containers to Ruby programmers. Summary Binary search tree is a best-suited data structure for data storage. 2 of Sorting and Searching by KNUTH. For many applications, there is excellent key locality. dictionary is implemented with a splay tree? Explain. The splay-prefix algorithm is one of the simplest and fastest adaptive data compression algorithms based on the use of a prefix code. huffman in 1952. Poor performance on uniform access (with workaround) -- a splay tree's performance will be considerably (although not asymptotically) worse than a somewhat balanced simple binary search tree for uniform access. Implement and test a splay tree in Java. Tree rotation is a transformation technique which can be used to change the structure of the binary search tree without changing the order of the elements. Jan 19, 2017 · search algorithms: linear search and binary search algorithms sorting algorithms: bubble sort, insertion sort, selection sort, merge sort and quicksort substring search algorithms: Boyer-Moore. It would say that if there is any binary search three that does particularly well on a sequence of operations than at least conjecturally a splay tree does. Every operation performed on a Splay Tree causes a readjustment in order to provide fast access to recently operated values. The theorem directly implies the access lemma for all BST algorithms mentioned above and some new ones. 2 days ago · download radix tree sort free and unlimited. The worst case with this splay tree algorithm is that this will sequentially access all the elements of the tree. and delete), maintaining height balance for a tree increases efficiency. Red-Black and AVL Trees. testing algorithm was the first linear-time algorithm for planarity-testing. The tree rotation should not change the in-order traversal of the tree. Tries; 2-3 tree; B-tree; B +-trees; B *-trees; AVL tree, [Splay tree], K-D tree; Suffix Tree & Suffix Array for String Matching. Splay Tree | Set 1 (Search) As discussed in the previous post, Splay tree is a self-balancing data structure where the last accessed key is always at root. Escogi treap por ser la codificacion mas sencilla, la implementación y tutorial de treap lo encuentran aqui. The algorithm is described further here. Let's discuss the three algorithms, used to search or walk through a Splay Tree, and then Splay this tree to rebalance it. 4) Unlike AVL tree, a splay tree can change even with read-only operations like search. cal algorithm that is closely related to the over thirty-year-old idea of splay trees and evaluate its adaption performance in the distributed scenario if di erent communication patterns are provided. For a comparison of running time a subset of this list see comparison of data structures. Splay trees are self branching binary search tree which has the property of reaccessing the elements quickly that which are recently accessed. Note: Please use this button to report only Software related issues. While i researched codes of honeyd I saw about SPLAY TREE in tree. The biggest disadvantage of splay trees is that they can be linear, as we observed in the Concept Question. 2 Splay Tree Analysis 2. The developer can use B-Tree in the following use cases. Splay Tree. How do these two algorithms compare with each other?. Animation Speed: w: h: Algorithm Visualizations. Jan 18, 2006 · Raymond’s post today on splay trees (brief summary: splay trees are interesting, but when you do an in-order traversal, they degrade to a linked list) reminded me of some “fun” I had with the NT 3. * An implementation of a dictionary structure backed by a splay tree. Our goal is for students to quickly access the exact clips they need in order to learn individual concepts. The splay-prefix algorithm is one of the simplest and fastest adaptive data compression algorithms based on the use of a prefix code. 2 LECT-11, S-3 ALG00S, [email protected] Splay Trees 30 Splay Trees Splay trees = self- adjusting BST. 4 AA-Trees 12. java * Execution: java SplayBST * Dependencies: none * * Splay tree. The section contains questions and answers on binary trees using arrays and linked lists, preorder, postorder and inorder traversal, avl tree, binary tree properties and operations, cartesian tree, weight balanced tree, red black and splay trees, threaded binary tree and binary search trees, aa tree, top tree, treap, tango tree and rope. Then the linearized (flattened) version of that array is sorted, and the indices of that sorting are kept. Union-Find Algorithm - Union by rank and path compression.