YEAR / SEM : II/ III
... entire original hash table computing the new hash value for each non deleted element and inserting it in the new table. 20. List out the advantages and disadvantages of rehashing. Advantage: • Table size is not a problem. • Hash tables cannot be made arbitrarily large. • Rehashing can be used in oth ...
... entire original hash table computing the new hash value for each non deleted element and inserting it in the new table. 20. List out the advantages and disadvantages of rehashing. Advantage: • Table size is not a problem. • Hash tables cannot be made arbitrarily large. • Rehashing can be used in oth ...
An Efficient Local Search Algorithm for the Linear Ordering
... to and from v, ∆ = maxv∈V dv ). Computational results showed that TREE has a good performance when compared to other methods proposed in the literature, being more than a hundred times faster than these methods for large instances. 2 The TREE algorithm The TREE algorithm uses a balanced search tree ...
... to and from v, ∆ = maxv∈V dv ). Computational results showed that TREE has a good performance when compared to other methods proposed in the literature, being more than a hundred times faster than these methods for large instances. 2 The TREE algorithm The TREE algorithm uses a balanced search tree ...
Trees
... • Nodes at a given level are children of nodes of previous level • Node with children is the parent node of those children • Nodes with same parent are siblings • Node with no children is a leaf node • The only node with no parent is the root node – All others have one parent each ...
... • Nodes at a given level are children of nodes of previous level • Node with children is the parent node of those children • Nodes with same parent are siblings • Node with no children is a leaf node • The only node with no parent is the root node – All others have one parent each ...
time-databases
... Each internal node entry contains a minimum bounding interval (MBI) and a child pointer. The deletion, insertion, and search algorithms of the general Rtrees are not changed. 2D R-trees, each interval is mapped to a point in a 2D-space where the dimensions are the starting pt. and the finish pt. ...
... Each internal node entry contains a minimum bounding interval (MBI) and a child pointer. The deletion, insertion, and search algorithms of the general Rtrees are not changed. 2D R-trees, each interval is mapped to a point in a 2D-space where the dimensions are the starting pt. and the finish pt. ...
Lecture No. 15
... Similarly, in case of strings (words) here, we will increment the counter if it is already present, and will seek the left and right subtrees accordingly, if required. In case of int’s we could easily compare them and see which one is greater but what will happen in case of strings. You must remembe ...
... Similarly, in case of strings (words) here, we will increment the counter if it is already present, and will seek the left and right subtrees accordingly, if required. In case of int’s we could easily compare them and see which one is greater but what will happen in case of strings. You must remembe ...
Linked List data structure
... efficient. It will require us to navigate to the previous element, starting from the beginning of the list as shown before. Removing an element from a singly-linked list has the same issue – it is possible, but generally not efficient. These operations become much easier when we add a second link to ...
... efficient. It will require us to navigate to the previous element, starting from the beginning of the list as shown before. Removing an element from a singly-linked list has the same issue – it is possible, but generally not efficient. These operations become much easier when we add a second link to ...
A Simple and Efficient Union-Find
... The classic data structure for the Union-Find problem represents each set A as a rooted tree TA which contains only parent links, and each element in A as a node of TA . The Union operation links the root of the shallower tree to the root of the taller tree (so the height will be increased only in ...
... The classic data structure for the Union-Find problem represents each set A as a rooted tree TA which contains only parent links, and each element in A as a node of TA . The Union operation links the root of the shallower tree to the root of the taller tree (so the height will be increased only in ...
Splay Trees
... Splay Trees* are self-adjusting binary search trees in which the shape of the tree is changed based upon the accesses performed upon the elements. ...
... Splay Trees* are self-adjusting binary search trees in which the shape of the tree is changed based upon the accesses performed upon the elements. ...
Lecture 5 (linked lists and vectors)
... We compare the incremental strategy and the doubling strategy by analyzing the total time T(n) needed to perform a series of n push operations We assume that we start with an empty stack represented by an array of size 1 We call amortized time of a push operation the average time taken by a push ove ...
... We compare the incremental strategy and the doubling strategy by analyzing the total time T(n) needed to perform a series of n push operations We assume that we start with an empty stack represented by an array of size 1 We call amortized time of a push operation the average time taken by a push ove ...
CIAA2009
... node v, state q, and b1, …, bn ∈ B – Compute the set rv (q, b1, …., bn) ⊆ (Node(t)∪{⊥})n s.t. – (v1, …, vn) ∈ rv (q, b1, …., bn) ...
... node v, state q, and b1, …, bn ∈ B – Compute the set rv (q, b1, …., bn) ⊆ (Node(t)∪{⊥})n s.t. – (v1, …, vn) ∈ rv (q, b1, …., bn) ...
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.