Compressed Data Structures for Range Searching
... in T (v) are contained in the range of v, so for every vertex u ∈ T (v), ru ⊆ rv . Leafs may store either points or ranges, and each point or range may be stored in several leafs. The data structure supports range queries that produce their result after evaluating the tree through a (partial) traver ...
... in T (v) are contained in the range of v, so for every vertex u ∈ T (v), ru ⊆ rv . Leafs may store either points or ranges, and each point or range may be stored in several leafs. The data structure supports range queries that produce their result after evaluating the tree through a (partial) traver ...
Lecture Notes on Tries
... stored as a sorted word list, some kind of binary search tree, or a hash table. The problem is that there are too many potential words on the grid, so we want to consider prefixes and abort the search when a prefix does not start a word. For example, if we start in the upper right-hand corner and tr ...
... stored as a sorted word list, some kind of binary search tree, or a hash table. The problem is that there are too many potential words on the grid, so we want to consider prefixes and abort the search when a prefix does not start a word. For example, if we start in the upper right-hand corner and tr ...
Symbolic Representations and Analysis of Large Probabilistic Systems
... A BDD is said to be ordered if there is a total ordering of the variables such that every path through the BDD visits nodes according to the ordering. In an ordered BDD (OBDD), each child m0 of a non-terminal node m must therefore either be terminal, or non-terminal with var (m) > var (m0 ). A reduc ...
... A BDD is said to be ordered if there is a total ordering of the variables such that every path through the BDD visits nodes according to the ordering. In an ordered BDD (OBDD), each child m0 of a non-terminal node m must therefore either be terminal, or non-terminal with var (m) > var (m0 ). A reduc ...
Searching: Binary Trees and Hash Tables
... BST Searches • Search begins at root – If that is desired item, done ...
... BST Searches • Search begins at root – If that is desired item, done ...
A hierarchical representation of form documents for identification
... into a hierarchical structure by using horizontal and vertical layout lines which exist on the form. The structure of a form document is represented by a tree. The hierarchy of the tree corresponds to the hierarchy of the blocks in the form document. The proposed representation is close to the human ...
... into a hierarchical structure by using horizontal and vertical layout lines which exist on the form. The structure of a form document is represented by a tree. The hierarchy of the tree corresponds to the hierarchy of the blocks in the form document. The proposed representation is close to the human ...
Specify 6 Synonym Cleanup Tool
... legacy systems. If your collection’s data were not converted from Specify 5-to-6, the Synonym Cleanup Tool will not change or improve your Specify 6 database. If that is the case, there is no need to run it. For sites with Specify 6 databases converted from Specify 5, read this documentation to cons ...
... legacy systems. If your collection’s data were not converted from Specify 5-to-6, the Synonym Cleanup Tool will not change or improve your Specify 6 database. If that is the case, there is no need to run it. For sites with Specify 6 databases converted from Specify 5, read this documentation to cons ...
n - FER
... Write a program to find the k-th largest array member in an integer array of n members. Sort the input array in descending order and print the member with index k-1 (or k if heap sort was used). b) Input k array members, sort them in descending order. Start reading the remaining array members. If so ...
... Write a program to find the k-th largest array member in an integer array of n members. Sort the input array in descending order and print the member with index k-1 (or k if heap sort was used). b) Input k array members, sort them in descending order. Start reading the remaining array members. If so ...
View File
... File Structure • None - sequence of words, bytes • Simple record structure – Lines – Fixed length – Variable length ...
... File Structure • None - sequence of words, bytes • Simple record structure – Lines – Fixed length – Variable length ...
linked list
... • A linked list object contains the variable head as an instance variable of the class • A linked list object does not contain all the nodes in the linked list directly – Rather, it uses the instance variable head to locate the head node of the list – The head node and every node of the list contain ...
... • A linked list object contains the variable head as an instance variable of the class • A linked list object does not contain all the nodes in the linked list directly – Rather, it uses the instance variable head to locate the head node of the list – The head node and every node of the list contain ...
G-Tries: an efficient data structure for discovering
... inserting new nodes when necessary, with the procedure insertRecursive(). This is done by going trough all possible children of the current node (line 6) and checking if their stored value is equal to the correspondent part of the adjacency matrix (line 7). If it is, we just continue recursively wit ...
... inserting new nodes when necessary, with the procedure insertRecursive(). This is done by going trough all possible children of the current node (line 6) and checking if their stored value is equal to the correspondent part of the adjacency matrix (line 7). If it is, we just continue recursively wit ...
CSCI 210 Data Structures & Algorithms
... else if (k < key(t)) return insert(tleft, k); else return insert(tright, k); ...
... else if (k < key(t)) return insert(tleft, k); else return insert(tright, k); ...
Introduction to Data Structures and ADT
... A binary tree is made up of a finite set of nodes that is either empty or consists of a node called the root together with two binary trees, called the left and right subtrees, which are disjoint from each other and from the root. ...
... A binary tree is made up of a finite set of nodes that is either empty or consists of a node called the root together with two binary trees, called the left and right subtrees, which are disjoint from each other and from the root. ...
Reducing the Storage Overhead of Main
... pression algorithm (e.g., LZMA) [8]. This approach reduces the I/O cost of fetching pages from disk, but the nodes must be decompressed once they reach memory so that the system can interpret their contents. To the best of our knowledge, the only compressed main-memory indexes are for OLAP systems, ...
... pression algorithm (e.g., LZMA) [8]. This approach reduces the I/O cost of fetching pages from disk, but the nodes must be decompressed once they reach memory so that the system can interpret their contents. To the best of our knowledge, the only compressed main-memory indexes are for OLAP systems, ...
Multidimensional Data Structures
... An important source of media data is geographic data. A geographic information system (GIS) stores information about some physical region of the world. A map is just viewed as a 2-dimensional image, and certain \points" on the map are considered to be of interest. These points are then store ...
... An important source of media data is geographic data. A geographic information system (GIS) stores information about some physical region of the world. A map is just viewed as a 2-dimensional image, and certain \points" on the map are considered to be of interest. These points are then store ...
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.