PPT
... A very fast overview of some data structures that we will be using this semester lists, sets, stacks, queues, networks, trees a variation on the well known heap data structure binary search Illustrated using animation We are concerned with O( ) computation counts, and so do not need to get dow ...
... A very fast overview of some data structures that we will be using this semester lists, sets, stacks, queues, networks, trees a variation on the well known heap data structure binary search Illustrated using animation We are concerned with O( ) computation counts, and so do not need to get dow ...
Trees, Tree traversal
... • The depth of any node is 1 more than the depth of its parent. • The height of any node is 1 more than the height of its maximum-height child. • The height of a tree is the height of the root node. • The size of a tree is the size of its root. • A tree with N nodes has N-1 edges. (Except for the ro ...
... • The depth of any node is 1 more than the depth of its parent. • The height of any node is 1 more than the height of its maximum-height child. • The height of a tree is the height of the root node. • The size of a tree is the size of its root. • A tree with N nodes has N-1 edges. (Except for the ro ...
- Online Guru Jee
... Create, Add, Delete, Full and Empty, Circular queues, D-queues and Priority Queues. Linked list: Representation and Implementation of Singly Linked Lists, Two-way Header List, Traversing and Searching of Linked List, Overflow and Underflow, Insertion and deletion to/from Linked Lists, Insertion and ...
... Create, Add, Delete, Full and Empty, Circular queues, D-queues and Priority Queues. Linked list: Representation and Implementation of Singly Linked Lists, Two-way Header List, Traversing and Searching of Linked List, Overflow and Underflow, Insertion and deletion to/from Linked Lists, Insertion and ...
presentation
... each node contains, besides the next-node link, a second link field pointing to the 'previous' node in the sequence. The two links may be called 'forward('s') and 'backwards', or 'next' and 'prev'('previous'). ...
... each node contains, besides the next-node link, a second link field pointing to the 'previous' node in the sequence. The two links may be called 'forward('s') and 'backwards', or 'next' and 'prev'('previous'). ...
Enhancing the Linux Radix Tree
... Tags, height (shift), reference count, parent pointer, offset in parent ...
... Tags, height (shift), reference count, parent pointer, offset in parent ...
Data Structure Review
... Instead of using pointers to the left and right child of a node, use indices into an array of nodes representing the binary tree. Also, use variable free as an index to the first position in the array that is available for a new entry. Use either the left or right child indices to indicate addit ...
... Instead of using pointers to the left and right child of a node, use indices into an array of nodes representing the binary tree. Also, use variable free as an index to the first position in the array that is available for a new entry. Use either the left or right child indices to indicate addit ...
Advanced Algorithm Design and Analysis (Lecture 1)
... • but, will not work for more dimensions… ...
... • but, will not work for more dimensions… ...
Lecture 16 Student Notes
... Figure 1: On the left we have node v with 5 children. Each triangle represents a subtree, and the size of the triangle represents the weight of the subtree (the number of descendand leaves of the subtree). On the right we can see the weight balanced BST. The solid lines are the edges of the weight ...
... Figure 1: On the left we have node v with 5 children. Each triangle represents a subtree, and the size of the triangle represents the weight of the subtree (the number of descendand leaves of the subtree). On the right we can see the weight balanced BST. The solid lines are the edges of the weight ...
CS2351 Data Structures
... In both cases : • The number of I/Os is O(logB n) • The number of operations is O(B logB n) • All properties of B-tree are maintained after insertion Remarks : The root is deleted when it has only one child this child becomes new root Tree height decreased by 1 ...
... In both cases : • The number of I/Os is O(logB n) • The number of operations is O(B logB n) • All properties of B-tree are maintained after insertion Remarks : The root is deleted when it has only one child this child becomes new root Tree height decreased by 1 ...
tree structure
... – First, we set the appropriate link of N's parent to NIL. – We then check if all the four link fields of M are NIL. – If so, we examine M's parent (let us call it P for now). As M is P's child, we find a link field dir1 such that P.dir1 = M. We then set P.dir1 = NIL and then (as before) check to se ...
... – First, we set the appropriate link of N's parent to NIL. – We then check if all the four link fields of M are NIL. – If so, we examine M's parent (let us call it P for now). As M is P's child, we find a link field dir1 such that P.dir1 = M. We then set P.dir1 = NIL and then (as before) check to se ...
1 Deletions in 2-3 Trees
... To delete a key (and its value) from a 2-3 tree, we of course first have to find it. Once we have found the key, deleting it from an internal node would be really complicated. Therefore, in 2-3 trees (and pretty much all search trees), we always have a first step of ensuring that we only delete keys ...
... To delete a key (and its value) from a 2-3 tree, we of course first have to find it. Once we have found the key, deleting it from an internal node would be really complicated. Therefore, in 2-3 trees (and pretty much all search trees), we always have a first step of ensuring that we only delete keys ...