Text - Department of Computer Science
... Use only one pointer (p) to adjust links of the nodes ...
... Use only one pointer (p) to adjust links of the nodes ...
Faster Cover Trees - University of California, Riverside
... of all the data points and takes time θ (n), but many data structures have been created to speed up this process. The kd-tree (Friedman et al., 1977) is probably the most famous. It is simple and effective in practice, but it can only be used on Euclidean spaces. We must turn to other data structure ...
... of all the data points and takes time θ (n), but many data structures have been created to speed up this process. The kd-tree (Friedman et al., 1977) is probably the most famous. It is simple and effective in practice, but it can only be used on Euclidean spaces. We must turn to other data structure ...
X - Suyash Bhardwaj
... • Each binomial tree within a binomial heap is stored in the left-child, right-sibling representation • Each node X contains POINTERS – p[x] to its parent – child[x] to its leftmost child – sibling[x] to its immediately right sibling • Each node X also contains the field degree[x] which denotes the ...
... • Each binomial tree within a binomial heap is stored in the left-child, right-sibling representation • Each node X contains POINTERS – p[x] to its parent – child[x] to its leftmost child – sibling[x] to its immediately right sibling • Each node X also contains the field degree[x] which denotes the ...
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[MS Word]
... microbenchmarks we were using were written in C and ran on Linux, whereas the macro-benchmarks were written in Java and ran on NT under Marmot. However, they serve the same purpose. In a sense, the results we get from the first round are an upper bound on what we can get in real program doing GC. Al ...
... microbenchmarks we were using were written in C and ran on Linux, whereas the macro-benchmarks were written in Java and ran on NT under Marmot. However, they serve the same purpose. In a sense, the results we get from the first round are an upper bound on what we can get in real program doing GC. Al ...
LECT#23
... all elements in the array up one. In the worst case insertion and deletion is an order(N) operation and on average order(N/2) so linear time is still required. Building a list by successive inserts at position 0 in list would require quadratic time. Lecture 25 ...
... all elements in the array up one. In the worst case insertion and deletion is an order(N) operation and on average order(N/2) so linear time is still required. Building a list by successive inserts at position 0 in list would require quadratic time. Lecture 25 ...
Balancing weight-balanced trees
... A weight-balanced tree (WBT) is a binary search tree, whose balance is based on the sizes of the subtrees in each node. Although purely functional implementations on a variant WBT algorithm are widely used in functional programming languages, many existing implementations do not maintain balance aft ...
... A weight-balanced tree (WBT) is a binary search tree, whose balance is based on the sizes of the subtrees in each node. Although purely functional implementations on a variant WBT algorithm are widely used in functional programming languages, many existing implementations do not maintain balance aft ...
Parallel Tree Traversal for Nearest Neighbor Query on the GPU
... The stackless tree traversal algorithms described in section II-A, kd-restart [12], skip pointer [15], rope tree [16], and short stack [14] focus on distributing a large number of line intersection queries across a set of GPU processing units. Such task parallelism is known to improve query processi ...
... The stackless tree traversal algorithms described in section II-A, kd-restart [12], skip pointer [15], rope tree [16], and short stack [14] focus on distributing a large number of line intersection queries across a set of GPU processing units. Such task parallelism is known to improve query processi ...
Search
... name. How would you find it? How difficult is this? • Suppose you have the same telephone book and you want to find a person that has a certain telephone number. How would you find it? How difficult is this? Well in the first case, what we do is to open the phone book at some page near the middle of ...
... name. How would you find it? How difficult is this? • Suppose you have the same telephone book and you want to find a person that has a certain telephone number. How would you find it? How difficult is this? Well in the first case, what we do is to open the phone book at some page near the middle of ...
Max Chickering at Microsoft Research
... and Heckerman et al. (1995). A substantial amount of the early work on learning Bayesian networks has used observed data to infer global independence constraints that hold in the domain of interest. Global independences are precisely those that follow from the missing edges within a Bayesian-network ...
... and Heckerman et al. (1995). A substantial amount of the early work on learning Bayesian networks has used observed data to infer global independence constraints that hold in the domain of interest. Global independences are precisely those that follow from the missing edges within a Bayesian-network ...
b63_midterm-version2..
... a valid binary heap, and sort its items in O(n) time - which if it true will make him famous! since sorting algorithm mostly perform in O(n log n) bounds. The student claims that by taking advantage of the fact that the items in a binary heap are already “partly sorted”, his algorithm performs in O( ...
... a valid binary heap, and sort its items in O(n) time - which if it true will make him famous! since sorting algorithm mostly perform in O(n log n) bounds. The student claims that by taking advantage of the fact that the items in a binary heap are already “partly sorted”, his algorithm performs in O( ...
Performance of Data Structures for Small Sets of
... greater than “international” but less than “internet” ...
... greater than “international” but less than “internet” ...
CE221_week_3_Chapter3_ListStackQueuePart1
... the list) requires pushing the entire array down one spot to make room, and deleting the first requires shifting all up by one: O(N). On the average half the list is moved: still O(N). Best case occurs when they are performed at the higher end: O(1). Izmir University of Economics ...
... the list) requires pushing the entire array down one spot to make room, and deleting the first requires shifting all up by one: O(N). On the average half the list is moved: still O(N). Best case occurs when they are performed at the higher end: O(1). Izmir University of Economics ...
Pointers
... char name[21]; char city[21]; char phone[21]; char *comment; } Addr; Addr *s; char comm[100]; s = (Addr *)malloc(sizeof(Addr)); gets(s->name, 20); gets(s->city, 20); gets( s->phone, 20); gets(comm, 100); s->comment = (char *)malloc(sizeof(char[strlen(comm)+1])); strcpy(s->comment, comm); ...
... char name[21]; char city[21]; char phone[21]; char *comment; } Addr; Addr *s; char comm[100]; s = (Addr *)malloc(sizeof(Addr)); gets(s->name, 20); gets(s->city, 20); gets( s->phone, 20); gets(comm, 100); s->comment = (char *)malloc(sizeof(char[strlen(comm)+1])); strcpy(s->comment, comm); ...
Five Balltree Construction Algorithms
... The Volume Criterion It might appear that these different distributions would require the use of different balltree construction criteria in order to lead to good performance. We have found, however, that a simple efficiency measure is sufficient for most applications. The most basic query is to ret ...
... The Volume Criterion It might appear that these different distributions would require the use of different balltree construction criteria in order to lead to good performance. We have found, however, that a simple efficiency measure is sufficient for most applications. The most basic query is to ret ...
Efficient Evaluation of Radial Queries using the Target Tree
... Figure 5: Two depictions of the 3D target trees. Figure (a) shows the angular divisions as seen from the surface of the sphere. Figure (b) shows the topmost split into the eight initial wedge-shaped pieces. angle. By convention, each angle is measured from the positive x axis, similar to the polar c ...
... Figure 5: Two depictions of the 3D target trees. Figure (a) shows the angular divisions as seen from the surface of the sphere. Figure (b) shows the topmost split into the eight initial wedge-shaped pieces. angle. By convention, each angle is measured from the positive x axis, similar to the polar c ...
Priority Queues (Heaps)
... two basic operations: insert a new item and remove the minimum item. ...
... two basic operations: insert a new item and remove the minimum item. ...
Minimum Spanning Trees
... Our task is to find the minimum possible cost in laying lines that will connect all the villages. This situation can be modelled by a weighted graph W , in which the weight on each edge is the cost of laying that line. A minimum spanning tree in a graph is a subgraph that is (1) a spanning subgraph ...
... Our task is to find the minimum possible cost in laying lines that will connect all the villages. This situation can be modelled by a weighted graph W , in which the weight on each edge is the cost of laying that line. A minimum spanning tree in a graph is a subgraph that is (1) a spanning subgraph ...
Binary search tree
In computer science, binary search trees (BST), sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store ""items"" (such as numbers, names and etc.) in memory. They allow fast lookup, addition and removal of items, and can be used to implement either dynamic sets of items, or lookup tables that allow finding an item by its key (e.g., finding the phone number of a person by name).Binary search trees keep their keys in sorted order, so that lookup and other operations can use the principle of binary search: when looking for a key in a tree (or a place to insert a new key), they traverse the tree from root to leaf, making comparisons to keys stored in the nodes of the tree and deciding, based on the comparison, to continue searching in the left or right subtrees. On average, this means that each comparison allows the operations to skip about half of the tree, so that each lookup, insertion or deletion takes time proportional to the logarithm of the number of items stored in the tree. This is much better than the linear time required to find items by key in an (unsorted) array, but slower than the corresponding operations on hash tables.They are a special case of the more general B-tree with order equal to two.