space-efficient data structures for string searching and retrieval
... where P occurs in dr . Finding the most relevant documents to the user query is the central task of any web-search engine. In the case of web-data, the documents can be demarcated along word boundaries. All the search engines use inverted index as the back-bone data structure. For each word occurrin ...
... where P occurs in dr . Finding the most relevant documents to the user query is the central task of any web-search engine. In the case of web-data, the documents can be demarcated along word boundaries. All the search engines use inverted index as the back-bone data structure. For each word occurrin ...
improvements in double ended priority queues
... Several data structures exist for priority queue implementation. A sorted list is an obvious choice, But it requires O(n) insertion cost. Though for small n ð< 20Þ, sorted list is acceptable [3], for larger values of n a more efficient data structure is required. Max-heap is one such efficient data ...
... Several data structures exist for priority queue implementation. A sorted list is an obvious choice, But it requires O(n) insertion cost. Though for small n ð< 20Þ, sorted list is acceptable [3], for larger values of n a more efficient data structure is required. Max-heap is one such efficient data ...
Queue
... If we let Front is Q[0], and let queue grow from left to right, as in case of Stack, it’s not efficient solution. It requires moving all queue-elements forward onearray cell, each time we perform dequeue operation. Such an implementation requires O(n) time to perform dequeue-method, where n is the c ...
... If we let Front is Q[0], and let queue grow from left to right, as in case of Stack, it’s not efficient solution. It requires moving all queue-elements forward onearray cell, each time we perform dequeue operation. Such an implementation requires O(n) time to perform dequeue-method, where n is the c ...
DS(CSC-214) LAB Mannual for Students
... An array is a series of elements of the same type placed in contiguous memory locations that can be individually referenced by adding an index to a unique identifier. As discussed in the class/lecture room, there are different algorithms related to an array (Traversing, Insertion, Deletion, Modify, ...
... An array is a series of elements of the same type placed in contiguous memory locations that can be individually referenced by adding an index to a unique identifier. As discussed in the class/lecture room, there are different algorithms related to an array (Traversing, Insertion, Deletion, Modify, ...
Problem Solving with Algorithms and Data Structures
... that we are given. By considering a number of different algorithms, we can begin to develop pattern recognition so that the next time a similar problem arises, we are better able to solve it. Algorithms are often quite different from one another. Consider the example of sqrt seen earlier. It is enti ...
... that we are given. By considering a number of different algorithms, we can begin to develop pattern recognition so that the next time a similar problem arises, we are better able to solve it. Algorithms are often quite different from one another. Consider the example of sqrt seen earlier. It is enti ...
Efficient, Oblivious Data Structures for MPC
... Other than the works already discussed [11,16,25], Gentry et al. [13] describe how to use homomorphic encryption combined with ORAM for reducing the communication cost of ORAM and also for secure computation in a client-server situation. These works are in a similar vein to ours, but our work is the ...
... Other than the works already discussed [11,16,25], Gentry et al. [13] describe how to use homomorphic encryption combined with ORAM for reducing the communication cost of ORAM and also for secure computation in a client-server situation. These works are in a similar vein to ours, but our work is the ...
Chapter 4 Region Algebra Implementation
... Figure 4.8: Different R-trees for the same set of rectangles can have different querying performance. A query for rectangle Q can avoid visiting the C-D subtree in the R-tree on the left, but it must visit all nodes in the R-tree on the right. two nodes, which are then inserted into the grandparent. ...
... Figure 4.8: Different R-trees for the same set of rectangles can have different querying performance. A query for rectangle Q can avoid visiting the C-D subtree in the R-tree on the left, but it must visit all nodes in the R-tree on the right. two nodes, which are then inserted into the grandparent. ...
Towards Optimal Range Medians - Department of Computer Science
... O(1) query time by computing prefix sums, since each query can be answered by subtracting two prefix sums. – Semigroup operator: This problem is significantly more difficult than the sum since subtraction is not available. However, there exists a very efficient solution: For any constant c, preproce ...
... O(1) query time by computing prefix sums, since each query can be answered by subtracting two prefix sums. – Semigroup operator: This problem is significantly more difficult than the sum since subtraction is not available. However, there exists a very efficient solution: For any constant c, preproce ...
ACM SIGCSE 2003: Multimedia Construction Projects
... * Collect all the notes from this node on * in an part (then a score) and open it up for viewing. * @param instrument MIDI instrument (program) to be used in playing this list ...
... * Collect all the notes from this node on * in an part (then a score) and open it up for viewing. * @param instrument MIDI instrument (program) to be used in playing this list ...
Applet Java for Kruskal`s algorithm and Prim`s algorithm
... With internet people have found a new way to learn at home. The ELearning was born to be able to people to learn wherever and whenever. It is the same for students and university who use more and more this principle. That is why I have been asked to make an application to help the students to unders ...
... With internet people have found a new way to learn at home. The ELearning was born to be able to people to learn wherever and whenever. It is the same for students and university who use more and more this principle. That is why I have been asked to make an application to help the students to unders ...
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.