- Jordan University of Science and Technology
... • Graphs represented in computer memory – Two common ways • Adjacency matrices • Adjacency lists ...
... • Graphs represented in computer memory – Two common ways • Adjacency matrices • Adjacency lists ...
Non-blocking Patricia Tries with Replace Operations
... operation cannot prevent others from progressing. To ensure the non-blocking property, if an update must flag more than one internal node, we order the internal nodes by their labels. The help(I) routine carries out the real work of an update operation using the information stored in the Flag object ...
... operation cannot prevent others from progressing. To ensure the non-blocking property, if an update must flag more than one internal node, we order the internal nodes by their labels. The help(I) routine carries out the real work of an update operation using the information stored in the Flag object ...
Dijkstra shortest path algorithm - Department of Computer Science
... The best case is that the value is equal to the first element tested, in which case only 1 comparison is needed. The worst case is that the value is not in the list (or it appears only once at the end of the list), in which case n comparisons are needed. Input :- A sequence of n numbers A = [a1, . . ...
... The best case is that the value is equal to the first element tested, in which case only 1 comparison is needed. The worst case is that the value is not in the list (or it appears only once at the end of the list), in which case n comparisons are needed. Input :- A sequence of n numbers A = [a1, . . ...
Efficient IP Table Lookup via Adaptive Stratified Trees with - IIT-CNR
... node are non-empty. Waldvogel et al. [Waldvogel et al. 1997] organize the prefixes in groups of prefixes of same length and each group is stored in a hash table for fast membership testing. The search is essentially a binary search by prefix length over the hash tables (a quite similar technique is ...
... node are non-empty. Waldvogel et al. [Waldvogel et al. 1997] organize the prefixes in groups of prefixes of same length and each group is stored in a hash table for fast membership testing. The search is essentially a binary search by prefix length over the hash tables (a quite similar technique is ...
Notes on Linked Lists
... Advantages of Linked Lists over Arrays Linked lists are more complex to code and manage than arrays, but they have some distinct advantages. a) A linked list can easily grow and shrink in size The programmer doesn’t need to know how many nodes will be in the list. They are created in memory as need ...
... Advantages of Linked Lists over Arrays Linked lists are more complex to code and manage than arrays, but they have some distinct advantages. a) A linked list can easily grow and shrink in size The programmer doesn’t need to know how many nodes will be in the list. They are created in memory as need ...
CS 315 Week 1 (Jan 28 and 30) summary and review questions
... The number of operations performed is given by (n – 1) + (n – 2) + … + 1 since the first iteration is performed n – 1 times, the second one is performed n – 2 times etc. For n = 65, the number is 64 + 63 + 62 + … + 2 + 1 = 65 x 32 = 2080 In general, it is n ( n – 1) / 2 = O(n2) 2) Assume a standard ...
... The number of operations performed is given by (n – 1) + (n – 2) + … + 1 since the first iteration is performed n – 1 times, the second one is performed n – 2 times etc. For n = 65, the number is 64 + 63 + 62 + … + 2 + 1 = 65 x 32 = 2080 In general, it is n ( n – 1) / 2 = O(n2) 2) Assume a standard ...
The computation of the Bhattacharyya distance between histograms
... which we compute histograms. ...
... which we compute histograms. ...
Searching: Binary Trees and Hash Tables
... BST Searches • Search begins at root – If that is desired item, done ...
... BST Searches • Search begins at root – If that is desired item, done ...
Quadtree
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features: They decompose space into adaptable cells Each cell (or bucket) has a maximum capacity. When maximum capacity is reached, the bucket splits The tree directory follows the spatial decomposition of the quadtree.