17484 - SK Engineering Academy
... name. An object represents a particular instance of a class. There can be more than one instance of a class. Each instance of a class can hold its own relevant data. An Object is a collection of data members and associated member functions also known as methods. Classes: Classes are data types based ...
... name. An object represents a particular instance of a class. There can be more than one instance of a class. Each instance of a class can hold its own relevant data. An Object is a collection of data members and associated member functions also known as methods. Classes: Classes are data types based ...
paper
... For high-dimensional datasets, a fully materialized data cube may be several hundred times larger than the original data set. It is thus only practical to precompute a subset of the cuboids. Partial data cubes are also very useful for realtime streaming data as computing and updating a full data cub ...
... For high-dimensional datasets, a fully materialized data cube may be several hundred times larger than the original data set. It is thus only practical to precompute a subset of the cuboids. Partial data cubes are also very useful for realtime streaming data as computing and updating a full data cub ...
document
... the find operation may have to search through all items every time (same performance as a linked list) ...
... the find operation may have to search through all items every time (same performance as a linked list) ...
Chapter17
... item at head is already greater than item being inserted, or because list is empty – Insertion is after an existing node in a nonempty list ...
... item at head is already greater than item being inserted, or because list is empty – Insertion is after an existing node in a nonempty list ...
Chapter 10: Trees
... In Figure 2, a is the root of the tree. It has two subtrees, whose roots are x and p. Notice that in a general tree, the subtrees are non-empty it has to have at least one node but that there may be zero subtrees, meaning that a general tree can have exactly one node with no subtrees at all. In ...
... In Figure 2, a is the root of the tree. It has two subtrees, whose roots are x and p. Notice that in a general tree, the subtrees are non-empty it has to have at least one node but that there may be zero subtrees, meaning that a general tree can have exactly one node with no subtrees at all. In ...
Optimal External Memory Planar Point Enclosure
... problem is described by a workload W , which is a simple hypergraph (O, Q), where O is the set of N objects, and Q is a set of subsets of O. The elements of Q = {q1 , . . . , qm } are called queries. An indexing scheme S for a given workload W = (O, Q) is a B-regular hypergraph (O, B), where each el ...
... problem is described by a workload W , which is a simple hypergraph (O, Q), where O is the set of N objects, and Q is a set of subsets of O. The elements of Q = {q1 , . . . , qm } are called queries. An indexing scheme S for a given workload W = (O, Q) is a B-regular hypergraph (O, B), where each el ...
International Journal of Emerging Technologies in Computational
... existential probability are pruned from the data. U-Apriori suffers from the following problems: (i) Inherited from the Apriori algorithm, U-Apriori does not scale well when handling large amounts of data because it also follows a level wise generate-and test framework. (ii) If the existential proba ...
... existential probability are pruned from the data. U-Apriori suffers from the following problems: (i) Inherited from the Apriori algorithm, U-Apriori does not scale well when handling large amounts of data because it also follows a level wise generate-and test framework. (ii) If the existential proba ...
CS520 Advanced Analysis of Algorithms and Complexity
... • Analyze the algorithm, call it A, and found the Worstcase complexity WA(n), for input of size n. • Prove a theorem starting that, for any algorithm in the same class of A for any input of size n, there is some input for which the algorithm must perform at least W[A](n) (lower bound in the worst ...
... • Analyze the algorithm, call it A, and found the Worstcase complexity WA(n), for input of size n. • Prove a theorem starting that, for any algorithm in the same class of A for any input of size n, there is some input for which the algorithm must perform at least W[A](n) (lower bound in the worst ...
mpirun
... heterogeneous computers on a network . – With a LAM/MPI , a dedicated cluster or an existing network computing infrastructure can act as a single parallel computer. – LAM/MPI is considered to be a “cluster friendly”,in that it offers daemon-based process startup/control as well as fast client-to-cli ...
... heterogeneous computers on a network . – With a LAM/MPI , a dedicated cluster or an existing network computing infrastructure can act as a single parallel computer. – LAM/MPI is considered to be a “cluster friendly”,in that it offers daemon-based process startup/control as well as fast client-to-cli ...
CS520 Advanced Analysis of Algorithms and Complexity
... • Analyze the algorithm, call it A, and found the Worstcase complexity WA(n), for input of size n. • Prove a theorem starting that, for any algorithm in the same class of A for any input of size n, there is some input for which the algorithm must perform at least W[A](n) (lower bound in the worst ...
... • Analyze the algorithm, call it A, and found the Worstcase complexity WA(n), for input of size n. • Prove a theorem starting that, for any algorithm in the same class of A for any input of size n, there is some input for which the algorithm must perform at least W[A](n) (lower bound in the worst ...
ppt
... Retrieve “correct” terms close to each query term for flew form munich: flea for flew, from for form, munch for munich Now try all possible resulting phrases as queries with one word “fixed” at a time Try query “flea form munich” Try query “flew from munich” Try query “flew form munch” ...
... Retrieve “correct” terms close to each query term for flew form munich: flea for flew, from for form, munch for munich Now try all possible resulting phrases as queries with one word “fixed” at a time Try query “flea form munich” Try query “flew from munich” Try query “flew form munch” ...
03 Linked Lists
... for processes running on the system. A linked list can be used to keep track of portions of memory that are available for allocation. • Scrolled lists, components found in graphical user interfaces, can be implemented using linked lists. ...
... for processes running on the system. A linked list can be used to keep track of portions of memory that are available for allocation. • Scrolled lists, components found in graphical user interfaces, can be implemented using linked lists. ...
Dijkstra shortest path algorithm - Department of Computer Science
... equal to the target value. A guessed index whose value turns out to be too high becomes the new upper bound of the span, and if its value is too low that index becomes the new lower bound. Pursuing this strategy iteratively, the method reduces the search span by a factor of two each time, and soon f ...
... equal to the target value. A guessed index whose value turns out to be too high becomes the new upper bound of the span, and if its value is too low that index becomes the new lower bound. Pursuing this strategy iteratively, the method reduces the search span by a factor of two each time, and soon f ...
Linked List - Indian Institute of Technology Kharagpur
... – Create a linked list to which items would be added to one end and deleted from the other end. – Two pointers will be maintained: • One pointing to the beginning of the list (point from where elements will be deleted). • Another pointing to the end of the list (point where Rear new elements will be ...
... – Create a linked list to which items would be added to one end and deleted from the other end. – Two pointers will be maintained: • One pointing to the beginning of the list (point from where elements will be deleted). • Another pointing to the end of the list (point where Rear new elements will be ...
Online Sorted Range Reporting
... the pre-calculated rank, and even better if it is possible to generate an increasing prefix of this ordered set on demand. In short, we would like a functionality similar to storing at each node in the tree a list of the leaves in its subtree sorted by their pre-calculated rank, but without the pro ...
... the pre-calculated rank, and even better if it is possible to generate an increasing prefix of this ordered set on demand. In short, we would like a functionality similar to storing at each node in the tree a list of the leaves in its subtree sorted by their pre-calculated rank, but without the pro ...
CS21 Lecture 1
... • can represent prefix-free encoding scheme by binary tree T: • Problem: given frequencies, construct optimal tree (prefix-free encoding scheme) April 15, 2014 ...
... • can represent prefix-free encoding scheme by binary tree T: • Problem: given frequencies, construct optimal tree (prefix-free encoding scheme) April 15, 2014 ...
Priority Queue - Data structure cs322
... a priority queue is an abstract data type which is like a regular queue or stack data structure, but where additionally each element has a "priority" associated with it. An entry in a priority queue is simply a (key, value) pair ...
... a priority queue is an abstract data type which is like a regular queue or stack data structure, but where additionally each element has a "priority" associated with it. An entry in a priority queue is simply a (key, value) pair ...
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.