Efficient implementation of lazy suffix trees
... The top-down construction has been mentioned several times in the literature [8,19,25,26], but at first glance, its worst case running time of O(n2 ) is disappointing. However, the expected running time is O(n logk n) (see e.g. [8]), and experiments in [8] suggest that the wotd-algorithm is practica ...
... The top-down construction has been mentioned several times in the literature [8,19,25,26], but at first glance, its worst case running time of O(n2 ) is disappointing. However, the expected running time is O(n logk n) (see e.g. [8]), and experiments in [8] suggest that the wotd-algorithm is practica ...
I n - Virginia Tech
... 2. Learn the commonly used data structures. – These form a programmer's basic data structure ``toolkit.'‘ ...
... 2. Learn the commonly used data structures. – These form a programmer's basic data structure ``toolkit.'‘ ...
Tree-based Data Structures for Triangle Mesh Connectivity Encoding
... diverse techniques have emerged for the encoding of triangle mesh connectivity, each one with some advantages over all the others when a particular class of meshes is considered. Some of the earlier techniques include the encoding of the connectivity as a permutation of the vertices [5], the topolog ...
... diverse techniques have emerged for the encoding of triangle mesh connectivity, each one with some advantages over all the others when a particular class of meshes is considered. Some of the earlier techniques include the encoding of the connectivity as a permutation of the vertices [5], the topolog ...
Extending the Robot Programming Language
... Traversing the List with a trailer (prev) prev=next=list[search_index]; while (list[search_index]!= NULL) ...
... Traversing the List with a trailer (prev) prev=next=list[search_index]; while (list[search_index]!= NULL) ...
AN OVERVIEW OF HIERARCHICAL SPATIAL DATA STRUCTURES
... The term quadtree is used to describe a class of hierarchical data structures whose common property is that they are based on the principle of recursive decomposition of space. They can be differentiated on the following bases: (1) the type of data that they are used to represent, (2) the principle ...
... The term quadtree is used to describe a class of hierarchical data structures whose common property is that they are based on the principle of recursive decomposition of space. They can be differentiated on the following bases: (1) the type of data that they are used to represent, (2) the principle ...
Introduction to Data Structures Using C
... You may have noticed that these two examples of linear data structures resemble to each other. This is because they both are really different kinds of lists. In general, all linear data structures look like the list. However, this does not mean that all the linear data structures are exactly the sam ...
... You may have noticed that these two examples of linear data structures resemble to each other. This is because they both are really different kinds of lists. In general, all linear data structures look like the list. However, this does not mean that all the linear data structures are exactly the sam ...
DataStructures
... data through provided operations according to their specifications • Implementation chooses how to represent data and implement its operations ...
... data through provided operations according to their specifications • Implementation chooses how to represent data and implement its operations ...
Data Structures (810:052) Lecture 20 Name:_________________
... b) Similarly, binary search of a sorted array or AVL tree always uses a fixed search strategy for any given target value. For example, binary search always compares the target value with the middle element of the remaining portion of the array needing to be searched. If n is the number of items bein ...
... b) Similarly, binary search of a sorted array or AVL tree always uses a fixed search strategy for any given target value. For example, binary search always compares the target value with the middle element of the remaining portion of the array needing to be searched. If n is the number of items bein ...
The Randomized Complexity of Maintaining the Minimum
... expected amortized constant cost, FindMin requires linear expected time. On the other hand if FindMin has constant expected time, then one of the update operations requires logarithmic expected amortized time. This shows that all the data structures in Fig. 1 are optimal in the sense of the trade-o ...
... expected amortized constant cost, FindMin requires linear expected time. On the other hand if FindMin has constant expected time, then one of the update operations requires logarithmic expected amortized time. This shows that all the data structures in Fig. 1 are optimal in the sense of the trade-o ...
Tries and String Matching
... Claim: This algorithm constructs suffix links in the trie in time O(n). Proof: There are at most O(n) nodes in the trie, so the breadth-first search will take time at most O(n). Therefore, we have to bound the work done ...
... Claim: This algorithm constructs suffix links in the trie in time O(n). Proof: There are at most O(n) nodes in the trie, so the breadth-first search will take time at most O(n). Therefore, we have to bound the work done ...
DataRover: A Taxonomy Based Crawler for
... Any cell marked with YES means that DataRover successfully identified all the segments corresponding to a taxonomy, list-ofproducts or single product and extracted the corresponding data ...
... Any cell marked with YES means that DataRover successfully identified all the segments corresponding to a taxonomy, list-ofproducts or single product and extracted the corresponding data ...
first-level index - University of Central Oklahoma
... block, which is called the block anchor A similar scheme can use the last record in a block A primary index is a nondense (sparse) index, since it includes an entry for each disk block of the data file and the keys of its anchor record rather than for every search value ...
... block, which is called the block anchor A similar scheme can use the last record in a block A primary index is a nondense (sparse) index, since it includes an entry for each disk block of the data file and the keys of its anchor record rather than for every search value ...
Lecture8MRM
... Note that simple iterators don't quite work here: we need to be able to go forward or down: ...
... Note that simple iterators don't quite work here: we need to be able to go forward or down: ...
Optimal Dynamic Sequence Representations
... 3.1 Structure We assume that the wavelet tree T has node degree ρ = Θ(lgε n). We divide sets B(v) into blocks and store those blocks in a doubly-linked list L(v). Each block Gj (v), except the last one, contains Θ(lg3 n) consecutive elements from B(v); the last block contains O(lg3 n) consecutive e ...
... 3.1 Structure We assume that the wavelet tree T has node degree ρ = Θ(lgε n). We divide sets B(v) into blocks and store those blocks in a doubly-linked list L(v). Each block Gj (v), except the last one, contains Θ(lg3 n) consecutive elements from B(v); the last block contains O(lg3 n) consecutive e ...
Introduction to Computer Science
... • Data structures organize data • Basic data structures: arrays, linked lists, queues, stacks, trees • Arrays store data contiguously • Arrays may have one or more dimensions • Linked lists store data in dynamic containers Connecting with Computer Science ...
... • Data structures organize data • Basic data structures: arrays, linked lists, queues, stacks, trees • Arrays store data contiguously • Arrays may have one or more dimensions • Linked lists store data in dynamic containers Connecting with Computer Science ...
Binary search tree
In computer science, binary search trees (BST), sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store ""items"" (such as numbers, names and etc.) in memory. They allow fast lookup, addition and removal of items, and can be used to implement either dynamic sets of items, or lookup tables that allow finding an item by its key (e.g., finding the phone number of a person by name).Binary search trees keep their keys in sorted order, so that lookup and other operations can use the principle of binary search: when looking for a key in a tree (or a place to insert a new key), they traverse the tree from root to leaf, making comparisons to keys stored in the nodes of the tree and deciding, based on the comparison, to continue searching in the left or right subtrees. On average, this means that each comparison allows the operations to skip about half of the tree, so that each lookup, insertion or deletion takes time proportional to the logarithm of the number of items stored in the tree. This is much better than the linear time required to find items by key in an (unsorted) array, but slower than the corresponding operations on hash tables.They are a special case of the more general B-tree with order equal to two.