rgpv-syllabus-it111-data-structure-i
... Linked List and Trees: Introduction to Linked List: Singly linked list, circular linked list, doubly linked list, operations on linked list, Introduction to Tree: Definition, Terminology, Generalised tree representation, Binary tree - definitions and properties, Representation, Binary Tree Traversal ...
... Linked List and Trees: Introduction to Linked List: Singly linked list, circular linked list, doubly linked list, operations on linked list, Introduction to Tree: Definition, Terminology, Generalised tree representation, Binary tree - definitions and properties, Representation, Binary Tree Traversal ...
A brief study of balancing of AVL tree
... this last tree is will have height 3. Alternatively, we can define it recursively by saying that the empty tree has height 0, and the height of any node is one greater than the maximal height of its two children. AVL trees maintain a height invariant (also sometimes called a balance invariant). 2.2 ...
... this last tree is will have height 3. Alternatively, we can define it recursively by saying that the empty tree has height 0, and the height of any node is one greater than the maximal height of its two children. AVL trees maintain a height invariant (also sometimes called a balance invariant). 2.2 ...
ppt
... • Do a graph search using edges selected already – Look for a path from u to v – Slow – O(|E|) worst case at every step O(|E| * |E|) ...
... • Do a graph search using edges selected already – Look for a path from u to v – Slow – O(|E|) worst case at every step O(|E| * |E|) ...
(6-up)
... //compute height of tree using postorder traversal public static int height(TreeCell node) { if (node == null) return -1; //empty tree if (isLeaf(node)) return 0; return 1 + Math.max(height(node.left), height(node.right)); ...
... //compute height of tree using postorder traversal public static int height(TreeCell node) { if (node == null) return -1; //empty tree if (isLeaf(node)) return 0; return 1 + Math.max(height(node.left), height(node.right)); ...
Podcast Ch16b
... • After applying the logarithm base 2 to all terms in the inequality, we have h ≤ log2 n < h+1 and conclude that a complete binary tree with n nodes must have height h = int(log2n) ...
... • After applying the logarithm base 2 to all terms in the inequality, we have h ≤ log2 n < h+1 and conclude that a complete binary tree with n nodes must have height h = int(log2n) ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
... Floppy disks: Relatively slow and have a small capacity, but they are portable, inexpensive, and universal. * Hard disks: Very fast and with more capacity than floppy disks, but also more expensive. Some hard disk systems are portable (removable cartridges), but most are not. * Optical disks: Unlike ...
... Floppy disks: Relatively slow and have a small capacity, but they are portable, inexpensive, and universal. * Hard disks: Very fast and with more capacity than floppy disks, but also more expensive. Some hard disk systems are portable (removable cartridges), but most are not. * Optical disks: Unlike ...
Docs
... club is divided into several different teams and each person is a member of exactly one team. How could you quickly determine who was on who's team? That is where a Disjoint Set Data Structure comes into play. A disjoint set data structure groups elements into disjoint sets so that elements in the s ...
... club is divided into several different teams and each person is a member of exactly one team. How could you quickly determine who was on who's team? That is where a Disjoint Set Data Structure comes into play. A disjoint set data structure groups elements into disjoint sets so that elements in the s ...
Quadtree
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features: They decompose space into adaptable cells Each cell (or bucket) has a maximum capacity. When maximum capacity is reached, the bucket splits The tree directory follows the spatial decomposition of the quadtree.