dynamic pattern matching - Department of Computer Science
... eralized versions of the problem (see below). To the best of our knowledge this is also the first result for pattern matching which supports split and concatenation of strings in polylogarithmic time per operation. Pattern matching results for dynamic as well as static problems have shown to be esse ...
... eralized versions of the problem (see below). To the best of our knowledge this is also the first result for pattern matching which supports split and concatenation of strings in polylogarithmic time per operation. Pattern matching results for dynamic as well as static problems have shown to be esse ...
2. Non-Linear Data Structure: - In non linear data
... Data structure: In computer science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. Data struct ...
... Data structure: In computer science, a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. Data struct ...
A Compressed Text Index on Secondary Memory ∗
... pair of consecutive suffixes, and a truncated suffix tree in RAM that distinguishes suffixes in consecutive disk blocks. The whole structure requires more than 13n bytes, text included. It permits counting with at most 2 + ⌈(m − 1)/b̃⌉ accesses to disk. Locating takes O(occ/b) I/Os, with constant at ...
... pair of consecutive suffixes, and a truncated suffix tree in RAM that distinguishes suffixes in consecutive disk blocks. The whole structure requires more than 13n bytes, text included. It permits counting with at most 2 + ⌈(m − 1)/b̃⌉ accesses to disk. Locating takes O(occ/b) I/Os, with constant at ...
Balloon: A Forward-Secure Append-Only Persistent Authenticated
... (CT) [12], where Balloon can be used to provide efficient non-membership proofs, which are highly relevant in relation to certificate revocation for CT [11,12,18]. For formally defining and proving the security of Balloon, we take a similar approach as Papamanthou et al. [19]. We view Balloon in the ...
... (CT) [12], where Balloon can be used to provide efficient non-membership proofs, which are highly relevant in relation to certificate revocation for CT [11,12,18]. For formally defining and proving the security of Balloon, we take a similar approach as Papamanthou et al. [19]. We view Balloon in the ...
Engineering a Compressed Suffix Tree Implementation
... already extensively studied by Munro, Raman, and Rao [22]. In addition to these navigational operations, suffix trees have several other useful operations such as suffix links, constant time lowest common ancestor (lca) queries, and pattern search capabilities. Sadakane developed a fully functional ...
... already extensively studied by Munro, Raman, and Rao [22]. In addition to these navigational operations, suffix trees have several other useful operations such as suffix links, constant time lowest common ancestor (lca) queries, and pattern search capabilities. Sadakane developed a fully functional ...
Storing and Indexing Massive RDF Data Sets
... 3. The third set of unclustered indexes consists of a combined index on property and object (po). 4. The final set has a combined clustered index on all columns together (spo). The authors note that, for an ad-hoc set of queries and on a specific RDF graph, the first set of indexes drastically impro ...
... 3. The third set of unclustered indexes consists of a combined index on property and object (po). 4. The final set has a combined clustered index on all columns together (spo). The authors note that, for an ad-hoc set of queries and on a specific RDF graph, the first set of indexes drastically impro ...
Better I/O Through Byte-Addressable, Persistent Memory
... sequential file) before updating the primary storage location. Thus, many writes are completed twice: once to the log, and once to the final location. The benefit of this approach is that the first write to the log is completed quickly, without overwriting old data. However, the cost is that many wr ...
... sequential file) before updating the primary storage location. Thus, many writes are completed twice: once to the log, and once to the final location. The benefit of this approach is that the first write to the log is completed quickly, without overwriting old data. However, the cost is that many wr ...
Linked lists
... Data structures to store a collection of items What are the choices so far? Arrays Limitations fixed capacity, memory may not be fully utilized. Insert and remove can be expensive (a lot of copies) if we don’t want to leave holes in the middle of the array. Continuous memory for easy in ...
... Data structures to store a collection of items What are the choices so far? Arrays Limitations fixed capacity, memory may not be fully utilized. Insert and remove can be expensive (a lot of copies) if we don’t want to leave holes in the middle of the array. Continuous memory for easy in ...
Searching in Metric Spaces - Department of information engineering
... and it needs to retrieve the entire record. In the classical approach, the piece presented is fixed (the key). Moreover, it is not allowed to search with an incomplete or an erroneous key. On the other hand, in the more general approach required nowadays the concept of searching with a key is genera ...
... and it needs to retrieve the entire record. In the classical approach, the piece presented is fixed (the key). Moreover, it is not allowed to search with an incomplete or an erroneous key. On the other hand, in the more general approach required nowadays the concept of searching with a key is genera ...
Algorithms and Data Structures
... Ý insertItem(k,e): inserts an item with key k and element e Ý removeMin(): removes the item with the smallest key and returns its element Ý minKey(): returns the smallest key of an item (no removal) Ý minElement(): returns the element of an item with smallest key (no removal) ...
... Ý insertItem(k,e): inserts an item with key k and element e Ý removeMin(): removes the item with the smallest key and returns its element Ý minKey(): returns the smallest key of an item (no removal) Ý minElement(): returns the element of an item with smallest key (no removal) ...
Data Structures and Algorithms for Data
... Through the years, I was fortunate to supervise semester and master projects of several exceptional students. I feel that I have to mention at least a few of them. First, I want to thank Ngoc Duy Pham for the preliminary exploration of the techniques used in the ScalaMeter framework. It was a pleasu ...
... Through the years, I was fortunate to supervise semester and master projects of several exceptional students. I feel that I have to mention at least a few of them. First, I want to thank Ngoc Duy Pham for the preliminary exploration of the techniques used in the ScalaMeter framework. It was a pleasu ...
Week 3 - Ken Cosh
... A large list like this would be slow to search, so an array of 26 pointers could be created pointing to lists of authors whose name begins with each letter. ...
... A large list like this would be slow to search, so an array of 26 pointers could be created pointing to lists of authors whose name begins with each letter. ...
chap8
... • A sequence of tokens broken out of a string is an ordered enumeration of those tokens, so StringTokenizer implements the Enumeration interface ...
... • A sequence of tokens broken out of a string is an ordered enumeration of those tokens, so StringTokenizer implements the Enumeration interface ...
Database Access Pattern Protection Without Full
... A challenge of this approach is how T securely decides a record’s color and securely retrieves a random record in a desired color. Note that since all accesses to the database appear random, the black records are dispersed across the entire database. It is practically infeasible for an embedded trus ...
... A challenge of this approach is how T securely decides a record’s color and securely retrieves a random record in a desired color. Note that since all accesses to the database appear random, the black records are dispersed across the entire database. It is practically infeasible for an embedded trus ...
Fundamental Data Structures - University of North Florida
... function that takes the old state as an argument, and returns the new state as part of the result. Unlike the "imperative" operations, these functions have no side effects. Therefore, the order in which they are evaluated is immaterial, and the same operation applied to the same arguments (including ...
... function that takes the old state as an argument, and returns the new state as part of the result. Unlike the "imperative" operations, these functions have no side effects. Therefore, the order in which they are evaluated is immaterial, and the same operation applied to the same arguments (including ...
public boolean - University of Pittsburgh
... subclass objects If a method is defined in both the superclass and subclass (with identical signatures), the version corresponding to each class will be used in a call from the array • Idea is that the methods are similar in nature but the redefinition in the subclass gears the method more specific ...
... subclass objects If a method is defined in both the superclass and subclass (with identical signatures), the version corresponding to each class will be used in a call from the array • Idea is that the methods are similar in nature but the redefinition in the subclass gears the method more specific ...
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.