'Null return' diaporamas de présentation

Graphs

B. F. G. A. C. D. E. Graphs. Graph G(V,E): finite set V of nodes (vertices) plus a finite set E of arcs (or edges) between nodes V = {A, B, C, D, E, F, G} E = {AA, AB, AD, CD, DE, BF, EF, FG, EG }. Terminology. Two vertices are adjacent if they are connected with an edge

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Trees and Graphs

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Trees and Graphs

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Trees

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Binary Search Trees

Binary Search Trees. Ravi Chugh March 28, 2014. Review: Linked Lists. Goal : Program that keeps track of friends Problem : Arrays have fixed length Solution : Linked Lists. null. Review: Linked Lists. class LinkedList { str friend; LinkedList next; bool find(str s) {

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CSE 326: Data Structures Trees

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Turgay Korkmaz Office : NPB 3.330 Phone: (210) 458-7346 Fax: (210) 458-4437

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Static variables and methods

Static variables and methods. Static variables are class variables used when we want all instances of a class to share data. Static variables store variables in common memory locations.

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Trees

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Section 4

Section 4. Boxing classes Array initialization Lists: recursion and iteration. Boxing classes. Many library methods have Objects as parameters, i.e. add(Object o) However, primitive types, like int, double, float etc. are not objects, not to mention Objects.

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Trees

Trees. CSE 373 Data Structures. Why Do We Need Trees?. Lists, Stacks, and Queues are linear relationships Information often contains hierarchical relationships File directories or folders Moves in a game Hierarchies in organizations Can build a tree to support fast searching.

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CMSC 341

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CMSC 341

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CMSC 341

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CMSC 341

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Binary Search Trees

Binary Search Trees. Definition (recursive): A binary tree is said to be a binary search tree if it is the empty tree or,. if there is a left-child, then the data in the left-child is less than the data in the root,

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Examples of class: Recursive data structures

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Trees

Trees. What is a tree?. A tree is defined to be a collection of individual entries called nodes for which the following properties hold: As long as the tree contains any nodes at all, there is a specific node called the root that forms the top of a hierarchy.

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CS 261

CS 261. Skew Heaps. Same idea, different technique. Start with the same heap order property, but ignore complete tree requirement Notice that order of left and right children is unimportant Notice that both addition and remove are special cases of merge. Removal as Merge.

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