Amortized Bounds for Dynamic Orthogonal Range
... then corresponds to filtering objects with inequality filters on attributes. The 2-D orthogonal range reporting problem has been studied for over 30 years, but optimal bounds are still not known. We give the first improved bounds since the work of Mortensen [13] in 2006. In particular, we give data ...
... then corresponds to filtering objects with inequality filters on attributes. The 2-D orthogonal range reporting problem has been studied for over 30 years, but optimal bounds are still not known. We give the first improved bounds since the work of Mortensen [13] in 2006. In particular, we give data ...
What is data structure
... dynamic data structure is one whose capacity is variable, so it can expand or contract at any time. For example, linked list, binary tree etc. ...
... dynamic data structure is one whose capacity is variable, so it can expand or contract at any time. For example, linked list, binary tree etc. ...
Introduction to Data Structures Using the Standard Template Library
... only from its front. Instead of inserting elements at the rear, however, ele- to a specified ordering and deletions ments are inserted so that they are in some given order, as shown in Figure are made at one end. 17.6. For example, passengers boarding an airplane are often called to line up in order ...
... only from its front. Instead of inserting elements at the rear, however, ele- to a specified ordering and deletions ments are inserted so that they are in some given order, as shown in Figure are made at one end. 17.6. For example, passengers boarding an airplane are often called to line up in order ...
TaoStore: Overcoming Asynchronicity in Oblivious Data Storage
... CURIOUS itself has not completely resolved the issue, and is also insecure when operations are scheduled concurrently and communication is asynchronous. Our attack assumes that the adversary learns the timings of the proxy’s answers back to the client. We find this assumption reasonable. For example ...
... CURIOUS itself has not completely resolved the issue, and is also insecure when operations are scheduled concurrently and communication is asynchronous. Our attack assumes that the adversary learns the timings of the proxy’s answers back to the client. We find this assumption reasonable. For example ...
Wavelet Trees for All
... exactly n bits at each level, and at most n bits in the last one. Thus, ndlg σe is an upper bound to the total number of bits it stores. Storing the topology of the tree requires O(σ lg n) further bits, if we are careful enough to use O(lg n) bits for the pointers. This extra space may be a problem ...
... exactly n bits at each level, and at most n bits in the last one. Thus, ndlg σe is an upper bound to the total number of bits it stores. Storing the topology of the tree requires O(σ lg n) further bits, if we are careful enough to use O(lg n) bits for the pointers. This extra space may be a problem ...
Korat: Automated Testing Based on Java Predicates
... We have used Korat to test several data structures, including some from the Java Collections Framework. The experimental results show that it is feasible to generate test cases from Java predicates, even when the search space for inputs is very large. In particular, our experiments indicate that it ...
... We have used Korat to test several data structures, including some from the Java Collections Framework. The experimental results show that it is feasible to generate test cases from Java predicates, even when the search space for inputs is very large. In particular, our experiments indicate that it ...
Korat: Automated Testing Based on Java Predicates (ISSTA 2002)
... We have used Korat to test several data structures, including some from the Java Collections Framework. The experimental results show that it is feasible to generate test cases from Java predicates, even when the search space for inputs is very large. In particular, our experiments indicate that it ...
... We have used Korat to test several data structures, including some from the Java Collections Framework. The experimental results show that it is feasible to generate test cases from Java predicates, even when the search space for inputs is very large. In particular, our experiments indicate that it ...
Range Majority in Constant Time and Linear Space
... √ space data structures that return the mode of a query range [i..j] in O( n), O(k), O(m), and O(|j − i|) time, respectively, where k denotes the number of distinct elements. Greve et lg n al. [14] proved a lower bound of Ω( lg(sw/n) ) query time for any range mode query data structure that uses s m ...
... √ space data structures that return the mode of a query range [i..j] in O( n), O(k), O(m), and O(|j − i|) time, respectively, where k denotes the number of distinct elements. Greve et lg n al. [14] proved a lower bound of Ω( lg(sw/n) ) query time for any range mode query data structure that uses s m ...
Active@ Partition Recovery User Guide
... heavily overwritten by other data, so you are not able to find your deleted data using QuickScan. SuperScan processes the whole surface of the physical device searching for all possible logical drives and partitions, whether they are live, damaged or deleted. If a partition cannot be found, SuperSca ...
... heavily overwritten by other data, so you are not able to find your deleted data using QuickScan. SuperScan processes the whole surface of the physical device searching for all possible logical drives and partitions, whether they are live, damaged or deleted. If a partition cannot be found, SuperSca ...
lecture notes
... The intended learning outcomes, lecture- and exercise times and places, grading criteria and the contact information of the course staff is listed in this chapter. You can also find the information about the course material here. ...
... The intended learning outcomes, lecture- and exercise times and places, grading criteria and the contact information of the course staff is listed in this chapter. You can also find the information about the course material here. ...
Answers to Selected Exercises
... would be O(1). On the other hand, if these functions are called only once, it would be better to calculate these values and store them. The second alternative would require two new class variables, one to hold the string and one to hold the number of days, but the auxiliary arrays would no longer be ...
... would be O(1). On the other hand, if these functions are called only once, it would be better to calculate these values and store them. The second alternative would require two new class variables, one to hold the string and one to hold the number of days, but the auxiliary arrays would no longer be ...
CMSC 341 Lecture 2
... Use the extra $1 to pay for the cost of flipping it back to a zero Because a $2 fee for each increment ensures that we have enough money stored to complete that increment, amortized cost is $2 = O(1) per operation ...
... Use the extra $1 to pay for the cost of flipping it back to a zero Because a $2 fee for each increment ensures that we have enough money stored to complete that increment, amortized cost is $2 = O(1) per operation ...
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.