lecture 6
... • So far, we have dealt with one type of data structure: an array. Its length does not change, so it is a static data structure. This either requires knowing the length ahead of time or waste space. • In many cases, we would like to have a dynamic data structure whose length changes according to com ...
... • So far, we have dealt with one type of data structure: an array. Its length does not change, so it is a static data structure. This either requires knowing the length ahead of time or waste space. • In many cases, we would like to have a dynamic data structure whose length changes according to com ...
Fundamental Data Structures
... any position is called (linked) list. Each data element except the last (called tail) has a successor and each element except the first (called head) has a predecessor. The conceptual model assumes that the elements are linked together by pointers. The pointer of the last element should indicate the ...
... any position is called (linked) list. Each data element except the last (called tail) has a successor and each element except the first (called head) has a predecessor. The conceptual model assumes that the elements are linked together by pointers. The pointer of the last element should indicate the ...
Binary Search Trees
... The binary-search-tree property allows us to print out all the keys in a binary search tree in sorted order by a simple recursive algorithm, called an inorder tree walk. This algorithm is so named because the key of the root of a subtree is printed between the values in its left subtree and those ...
... The binary-search-tree property allows us to print out all the keys in a binary search tree in sorted order by a simple recursive algorithm, called an inorder tree walk. This algorithm is so named because the key of the root of a subtree is printed between the values in its left subtree and those ...
Chapter 6 Slides
... We will likely have to write a data structure that is very similar to, but not identical to, a built-in structure. ...
... We will likely have to write a data structure that is very similar to, but not identical to, a built-in structure. ...
Efficient Differential Timeslice Computation
... tree) is then used to compute page positions for the time tx in the backlog. The three resulting page positions can be used to predict whether it is going to be more efficient to incrementally compute R(tx ) from R(tx−1 ) or decrementally compute R(tx ) from R(tx+1 ). The PLI-tree is a degenerate, s ...
... tree) is then used to compute page positions for the time tx in the backlog. The three resulting page positions can be used to predict whether it is going to be more efficient to incrementally compute R(tx ) from R(tx−1 ) or decrementally compute R(tx ) from R(tx+1 ). The PLI-tree is a degenerate, s ...
Final Exam - The University of Texas at Austin
... ____A collection of nodes with each one linked to its parent, and a single root on top ____A binary tree that represents variable length character codes for compression ____The average case search time in a Binary Search Tree (BST) ____The BST traversal that produces an ordered sequence ____A BST is ...
... ____A collection of nodes with each one linked to its parent, and a single root on top ____A binary tree that represents variable length character codes for compression ____The average case search time in a Binary Search Tree (BST) ____The BST traversal that produces an ordered sequence ____A BST is ...
Review Session
... node's left subtree holds values less than the node's value, and every right subtree holds values greater. A new node is added as a leaf. ...
... node's left subtree holds values less than the node's value, and every right subtree holds values greater. A new node is added as a leaf. ...
Creating a linked List
... then Second Integer element will be stored at 2002. Elements are stored in Consecutive memory Locations, so while inserting, we have to create space for Insertion which takes more time. Similarly while deleting, delete the element from given Location and then Shift All successive elements up by 1 po ...
... then Second Integer element will be stored at 2002. Elements are stored in Consecutive memory Locations, so while inserting, we have to create space for Insertion which takes more time. Similarly while deleting, delete the element from given Location and then Shift All successive elements up by 1 po ...
Reporting Status or Progress
... Complexity of list queries • the key observation is that all corresponding edges will form a consecutive segment. • the segment may be identified with two binary searches (performing an LCA query, it takes O(1) time) • maximum size of the array of supportive edges in any node is at most k|S| , where ...
... Complexity of list queries • the key observation is that all corresponding edges will form a consecutive segment. • the segment may be identified with two binary searches (performing an LCA query, it takes O(1) time) • maximum size of the array of supportive edges in any node is at most k|S| , where ...
stack - CENG METU
... • Items are added and removed from only one end of a stack • The discipline is LIFO: Last-In, First-Out • Analogies: a stack of plates or a stack of books ...
... • Items are added and removed from only one end of a stack • The discipline is LIFO: Last-In, First-Out • Analogies: a stack of plates or a stack of books ...
6.18_Exam2Review - Help-A-Bull
... • It must copy the objects from the old vector to the new vector • It must destroy each object in the old ...
... • It must copy the objects from the old vector to the new vector • It must destroy each object in the old ...
binary search tree
... the middle, we know that the item won’t be in the second half of the list – Once again we examine the “middle” element (which is really the item 25% of the way into the list) – The process continues with each comparison cutting in half the portion of the list where the item might be ...
... the middle, we know that the item won’t be in the second half of the list – Once again we examine the “middle” element (which is really the item 25% of the way into the list) – The process continues with each comparison cutting in half the portion of the list where the item might be ...
Data Structures
... e = (u, v), where u is parent of v, or v is a child of u, and q Every node has a unique parent except the root node, r. u Def: A binary tree is a tree where every node has at ...
... e = (u, v), where u is parent of v, or v is a child of u, and q Every node has a unique parent except the root node, r. u Def: A binary tree is a tree where every node has at ...
General Trees
... We can find the root node by following parent pointers upward as far as possible. For this problem, no other type of traversal is necessary, so the parent "pointer" representation described earlier is sufficient. ...
... We can find the root node by following parent pointers upward as far as possible. For this problem, no other type of traversal is necessary, so the parent "pointer" representation described earlier is sufficient. ...
B-tree
In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.