Lecture Notes - McMaster Computing and Software
... Example: ADT MATRIX (OF REALS) 1. Return number of rows 2. Return number of columns 3. Multiply matrices A and B 4. Add A and B 5. Compute the transpose of matrix A 6. Delete a rows/column 7. Add a row/column 8. Multiply matrix A by real number 6 ...
... Example: ADT MATRIX (OF REALS) 1. Return number of rows 2. Return number of columns 3. Multiply matrices A and B 4. Add A and B 5. Compute the transpose of matrix A 6. Delete a rows/column 7. Add a row/column 8. Multiply matrix A by real number 6 ...
University of Groningen An algorithm for the asynchronous Write
... good. However, this bound can only be achieved assuming that a set of permutations of 1 . . . P with a specific property is given, which requires exponential time to calculate. Such a set can be generated at random, but then the result ‘only’ holds with high probability. In order to overcome this pro ...
... good. However, this bound can only be achieved assuming that a set of permutations of 1 . . . P with a specific property is given, which requires exponential time to calculate. Such a set can be generated at random, but then the result ‘only’ holds with high probability. In order to overcome this pro ...
7.1. Single- and Double-Ended Priority Queues:
... In an external sort, we have more elements than can be held in the memory of our computer. The elements to be sorted are initially on a disk and the sorted sequence is to be left on the disk. When the internal quick sort method outlined above is extended to an external quick sort, the middle group M ...
... In an external sort, we have more elements than can be held in the memory of our computer. The elements to be sorted are initially on a disk and the sorted sequence is to be left on the disk. When the internal quick sort method outlined above is extended to an external quick sort, the middle group M ...
Mod 10 - nptel
... The largest element is at the root, but its position in sorted array should be at last. So, swap the root with the last element. We have placed the highest element in its correct position. We left with an array of n-1 elements. repeat the same of these remaining n-1 elements to place the next larg ...
... The largest element is at the root, but its position in sorted array should be at last. So, swap the root with the last element. We have placed the highest element in its correct position. We left with an array of n-1 elements. repeat the same of these remaining n-1 elements to place the next larg ...
Sequences
... insert a new element o to have rank r object removeAtRank(integer r): removes and returns the element at rank r Additional operations size() and isEmpty() ...
... insert a new element o to have rank r object removeAtRank(integer r): removes and returns the element at rank r Additional operations size() and isEmpty() ...
DSLec(Hashing). - CSE246DataStructures
... Worst-case: All keys hash to the same bucket. Insert takes O(1), but delete and find take O(N). In linear probing max Load factor <=1 Performance of the hash tables, based on open addressing scheme is very sensitive to the table's load factor. If load factor exceeds 0.7 threshold, table's speed dras ...
... Worst-case: All keys hash to the same bucket. Insert takes O(1), but delete and find take O(N). In linear probing max Load factor <=1 Performance of the hash tables, based on open addressing scheme is very sensitive to the table's load factor. If load factor exceeds 0.7 threshold, table's speed dras ...
How to Improve the Pruning Ability of Dynamic Metric Access Methods
... capacity of pruning achieved by a combination of many representatives. In fact, if the set of reference objects at a given node dictates where other objects should be stored at lower levels (i.e., in which of its descending subtree), the structure becomes static, because whenever a reference is chan ...
... capacity of pruning achieved by a combination of many representatives. In fact, if the set of reference objects at a given node dictates where other objects should be stored at lower levels (i.e., in which of its descending subtree), the structure becomes static, because whenever a reference is chan ...
Dynamic Data Structures
... • A stack can be implemented as a constrained version of a linked list. • New nodes can be added to a stack and removed from a stack only at the top. • For this reason, a stack is referred to as a last-in, firstout (LIFO) data structure. • A stack is referenced via a pointer to the top element of th ...
... • A stack can be implemented as a constrained version of a linked list. • New nodes can be added to a stack and removed from a stack only at the top. • For this reason, a stack is referred to as a last-in, firstout (LIFO) data structure. • A stack is referenced via a pointer to the top element of th ...
The Tree Data Model
... One distinction in representations concerns where the structures for the nodes “live” in the memory of the computer. In C, we can create the space for structures for nodes by using the function malloc from the standard library stdlib.h, in which case nodes “float” in memory and are accessible only t ...
... One distinction in representations concerns where the structures for the nodes “live” in the memory of the computer. In C, we can create the space for structures for nodes by using the function malloc from the standard library stdlib.h, in which case nodes “float” in memory and are accessible only t ...
An Evaluation of Generic Bulk Loading Techniques
... an index in bulk. Among the different bulk operations, bulk loading of an index has attracted most of the research attention. In this paper, we address the problem of bulk loading an index for a given data set as fast as possible. We are primarily interested in creating indexes from non-traditional ...
... an index in bulk. Among the different bulk operations, bulk loading of an index has attracted most of the research attention. In this paper, we address the problem of bulk loading an index for a given data set as fast as possible. We are primarily interested in creating indexes from non-traditional ...
I n - Virginia Tech
... • Are all data inserted into the data structure at the beginning, or are insertions interspersed with other operations? • Can data be deleted? • Are all data processed in some welldefined order, or is random access allowed? ...
... • Are all data inserted into the data structure at the beginning, or are insertions interspersed with other operations? • Can data be deleted? • Are all data processed in some welldefined order, or is random access allowed? ...
Connecting with Computer Science, 2e Chapter 8 Data Structures
... Used when exact number of items is unknown Store data noncontiguously Maintain data and address of next linked cell Examples: names of students visiting a professor, points scored in a video game, list of spammers ...
... Used when exact number of items is unknown Store data noncontiguously Maintain data and address of next linked cell Examples: names of students visiting a professor, points scored in a video game, list of spammers ...
Optimal Cooperative Search in Fractional Cascaded
... the search path is determined by the function call branch (q; nd (y; v)), which returns either left or right , based on the secondary information of the catalog entry nd (y; v). If branch returns left , the left branch is taken; otherwise branch returns right , and the right branch is taken. We ma ...
... the search path is determined by the function call branch (q; nd (y; v)), which returns either left or right , based on the secondary information of the catalog entry nd (y; v). If branch returns left , the left branch is taken; otherwise branch returns right , and the right branch is taken. We ma ...
Efficient Verified Red-Black Trees 1 September 2011 ANDREW W. APPEL
... proofs) is written in pure functional languages that are embedded in logics and theorem provers; this is because such languages have tractable proof theories that greatly eases the verification task. Examples of such languages are ML (embedded in Isabelle/HOL) and Gallina (embedded in Coq). These em ...
... proofs) is written in pure functional languages that are embedded in logics and theorem provers; this is because such languages have tractable proof theories that greatly eases the verification task. Examples of such languages are ML (embedded in Isabelle/HOL) and Gallina (embedded in Coq). These em ...
Balanced BSTs
... of O(lg n) is guaranteed when implementing a dynamic set of n items. • Examples: ...
... of O(lg n) is guaranteed when implementing a dynamic set of n items. • Examples: ...
Eindhoven University of Technology MASTER An experimental
... Guttman[8] provides insertion and deletion algorithms for the R-tree structure proposed by him. The insertion and deletion algorithms use the bounding boxes from the nodes to ensure that nearby elements are placed in the same leaf node. Inserting a rectangle into the R-tree, basically involves addin ...
... Guttman[8] provides insertion and deletion algorithms for the R-tree structure proposed by him. The insertion and deletion algorithms use the bounding boxes from the nodes to ensure that nearby elements are placed in the same leaf node. Inserting a rectangle into the R-tree, basically involves addin ...
List of Practical - Guru Tegh Bahadur Institute of Technology
... Create a linked list with nodes having information about a student and Insert a new node at specified position. Create a linked list with nodes having information about a student and Delete of a node with the roll number of student specified. Create a linked list with nodes having information about ...
... Create a linked list with nodes having information about a student and Insert a new node at specified position. Create a linked list with nodes having information about a student and Delete of a node with the roll number of student specified. Create a linked list with nodes having information about ...
Figure 11-14 Traversing a list
... Understand records and the difference between an array and a record. Understand the concept of a linked list and the difference between an array and a linked list. Understand when to use an array and when to use a linked-list. ...
... Understand records and the difference between an array and a record. Understand the concept of a linked list and the difference between an array and a linked list. Understand when to use an array and when to use a linked-list. ...
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.