Document
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
Document
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
Applications of Trees
... • Driving in Los Angeles, NY, or Boston for that matter • Playing cards • Invest on stocks • Choose a university ...
... • Driving in Los Angeles, NY, or Boston for that matter • Playing cards • Invest on stocks • Choose a university ...
CSC401: Analysis of Algorithms
... Preorder Traversal A traversal visits the nodes of a tree in a systematic manner In a preorder traversal, a node is visited before its descendants The running time is O(n) Application: print a structured ...
... Preorder Traversal A traversal visits the nodes of a tree in a systematic manner In a preorder traversal, a node is visited before its descendants The running time is O(n) Application: print a structured ...
Single and Doubly Linked Lists
... continously back to where one started. This is useful for representing a polygon because there is essentially no starting or ending point. Thus, we would like an implementation to illustrate this. ...
... continously back to where one started. This is useful for representing a polygon because there is essentially no starting or ending point. Thus, we would like an implementation to illustrate this. ...
ppt - Courses
... • B-Trees are always balanced. • B-Trees keep similar-valued records together on a disk page, which takes advantage of locality of reference. • B-Trees guarantee that every node in the tree will be full at least to a certain minimum percentage. – This improves space efficiency while reducing the typ ...
... • B-Trees are always balanced. • B-Trees keep similar-valued records together on a disk page, which takes advantage of locality of reference. • B-Trees guarantee that every node in the tree will be full at least to a certain minimum percentage. – This improves space efficiency while reducing the typ ...
Lecture 14
... Binary Tree Questions • What is the maximum height of a binary tree with n nodes? What is the minimum height? • What is the minimum and maximum number of nodes in a binary tree of height h? • What is the minimum number of nodes in a full tree of height h? • Is a complete tree a full tree? • Is perf ...
... Binary Tree Questions • What is the maximum height of a binary tree with n nodes? What is the minimum height? • What is the minimum and maximum number of nodes in a binary tree of height h? • What is the minimum number of nodes in a full tree of height h? • Is a complete tree a full tree? • Is perf ...
STUDY OF EFFECT OF PARALLELISM ON TIME COMPLEXITIES
... created separate job sequences. If there are n>m process then process scheduling can be introduced to schedule the jobs. This can affect the complexity of the parallel algorithm designed. So we have to basically perform following analysis on existing data structures ...
... created separate job sequences. If there are n>m process then process scheduling can be introduced to schedule the jobs. This can affect the complexity of the parallel algorithm designed. So we have to basically perform following analysis on existing data structures ...
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.