Algorithms for Joining R-Trees and Linear Region Quadtrees
... In the FL implementation, the address of a black Quadtree node is a codeword that consists of n base-5 digits. Codes 0, 1, 2 and 3 denote directions NW, NE, SW and SE, respectively, while code 4 denotes a do-not-care direction. If the black node resides on level i, where n ≥ i ≥ 0, then the first n ...
... In the FL implementation, the address of a black Quadtree node is a codeword that consists of n base-5 digits. Codes 0, 1, 2 and 3 denote directions NW, NE, SW and SE, respectively, while code 4 denotes a do-not-care direction. If the black node resides on level i, where n ≥ i ≥ 0, then the first n ...
58093 String Processing Algorithms
... range searching in O(log n + r) time, where n is the size of the set and r is the size of the result. • An ordered array supports lookup and range searching in the same time as binary search trees. It is simpler, faster and more space efficient in practice, but does not support insertions and deleti ...
... range searching in O(log n + r) time, where n is the size of the set and r is the size of the result. • An ordered array supports lookup and range searching in the same time as binary search trees. It is simpler, faster and more space efficient in practice, but does not support insertions and deleti ...
Storage : Records and Files
... Many alternatives exist, each ideal for some situation , and not so good in others: – Heap files: Suitable when typical access is a file scan retrieving all records. – Sorted Files: Best if records must be retrieved in some order, or only a `range’ of records is needed. – Hashed Files: Good for equa ...
... Many alternatives exist, each ideal for some situation , and not so good in others: – Heap files: Suitable when typical access is a file scan retrieving all records. – Sorted Files: Best if records must be retrieved in some order, or only a `range’ of records is needed. – Hashed Files: Good for equa ...
Max Chickering at Microsoft Research
... In the \classical" implementation of a Bayesian network, each node xi stores (ri 1) qi distinct parameters in a large table. That is, Mi is simply a lookup into a table. Note that the size of this table grows exponentially with the number of parents qi . ...
... In the \classical" implementation of a Bayesian network, each node xi stores (ri 1) qi distinct parameters in a large table. That is, Mi is simply a lookup into a table. Note that the size of this table grows exponentially with the number of parents qi . ...
Indexing and Index Tuning
... Order (d) concept replaced by physical space criterion in practice (`at least half-full’). Index pages can typically hold many more entries than leaf pages. Variable sized records and search keys mean different nodes will contain different numbers of entries. Even with fixed length fields, mult ...
... Order (d) concept replaced by physical space criterion in practice (`at least half-full’). Index pages can typically hold many more entries than leaf pages. Variable sized records and search keys mean different nodes will contain different numbers of entries. Even with fixed length fields, mult ...
paper - VLDB 2005
... XB-Tree. A variant of T WIG S TACK algorithm, the XBT WIG S TACK, uses XB-Trees to speed up processing. The nodes in the leaf pages are sorted by their left values. The difference between XB-Tree and a B + -tree is in the data stored on internal pages: each node has a bounding segment (left, right) ...
... XB-Tree. A variant of T WIG S TACK algorithm, the XBT WIG S TACK, uses XB-Trees to speed up processing. The nodes in the leaf pages are sorted by their left values. The difference between XB-Tree and a B + -tree is in the data stored on internal pages: each node has a bounding segment (left, right) ...
Advancing Front Method
... when discretising its boundary curves are assembled into the so-called initial front. • The relative orientation of the curve components with respect to the surface must be taken into account in order to give the correct orientation to the sides in the initial front. The front is a dynamic data stru ...
... when discretising its boundary curves are assembled into the so-called initial front. • The relative orientation of the curve components with respect to the surface must be taken into account in order to give the correct orientation to the sides in the initial front. The front is a dynamic data stru ...
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 ...
PPT
... entry>next->prev = entry->prev; entry>prev->next = entry->next; entry->next = entry->prev = NULL; ...
... entry>next->prev = entry->prev; entry>prev->next = entry->next; entry->next = entry->prev = NULL; ...
18 BetrFS: Write-Optimization in a Kernel File System
... The standard textbook B-tree analysis assumes that all keys have unit size, so that each B-tree node can hold up to B pivot keys and child pointers. Thus, the fanout of a B-tree is (B) and the depth is (log B N), as shown in Figure 1. To search for an element, follow the path from the root to the ...
... The standard textbook B-tree analysis assumes that all keys have unit size, so that each B-tree node can hold up to B pivot keys and child pointers. Thus, the fanout of a B-tree is (B) and the depth is (log B N), as shown in Figure 1. To search for an element, follow the path from the root to the ...
Single-Source Shortest Path on Weighted Graphs
... 1. Define non-linear data structure Data structure which is capable of expressing more complex relationship than that of physical adjacency is called non-linear data structure. 2. Define tree? A tree is a data structure, which represents hierarchical relationship between individual data items. 3. De ...
... 1. Define non-linear data structure Data structure which is capable of expressing more complex relationship than that of physical adjacency is called non-linear data structure. 2. Define tree? A tree is a data structure, which represents hierarchical relationship between individual data items. 3. De ...
Lecture 12: Heaps, Priority Queues, Heapsort, Greedy Algorithms
... • Not a stable sort, and one of the most difficult to devise a stable variation to. • n elements, log(n) time for each -> O(n log n). • This algorithm competes with quicksort and mergesort due to the O(n log n) worst-case guarantee and requirement of only constant space. • It’s also an extremely sim ...
... • Not a stable sort, and one of the most difficult to devise a stable variation to. • n elements, log(n) time for each -> O(n log n). • This algorithm competes with quicksort and mergesort due to the O(n log n) worst-case guarantee and requirement of only constant space. • It’s also an extremely sim ...
Semi-Indexing Semi-Structured Data in Tiny Space
... • If input/output is textual, back-and-forward conversions are needed. • If existing infrastructure is based on textual formats, changing the storage format of already stored data can be extremely costly. In fact, despite their advantages binary formats have not gained widespread adoption. Surprisin ...
... • If input/output is textual, back-and-forward conversions are needed. • If existing infrastructure is based on textual formats, changing the storage format of already stored data can be extremely costly. In fact, despite their advantages binary formats have not gained widespread adoption. Surprisin ...
24slide - KSU Web Home
... Array is a fixed-size data structure. Once an array is created, its size cannot be changed. Nevertheless, you can still use array to implement dynamic data structures. The trick is to create a new larger array to replace the current array if the current array cannot hold new elements in the list. In ...
... Array is a fixed-size data structure. Once an array is created, its size cannot be changed. Nevertheless, you can still use array to implement dynamic data structures. The trick is to create a new larger array to replace the current array if the current array cannot hold new elements in the list. In ...
data structures and applicatons
... 4. What is meant by list ADT? List ADT is a sequential storage structure. General list of the form a1,2,a3.…., an and the size of the list is 'n'. Any element in the list at the position I is defined to be ai, ai+1 the successor of ai and ai-1 is the predecessor of ai. 5. What are the different ways ...
... 4. What is meant by list ADT? List ADT is a sequential storage structure. General list of the form a1,2,a3.…., an and the size of the list is 'n'. Any element in the list at the position I is defined to be ai, ai+1 the successor of ai and ai-1 is the predecessor of ai. 5. What are the different ways ...
Lecture 9 — 16 Feb, 2012 1 Overview 2 The problem
... complexity of each operation. Again, we consider the elements as log u length binary vectors. For each vector in S and each i ∈ [log u], we define Si = {v : |v| = i, ∃x ∈ S, x(i) = v}, where x(i) represents the vector restricted to the most significant i positions . For each Si we build a hash table ...
... complexity of each operation. Again, we consider the elements as log u length binary vectors. For each vector in S and each i ∈ [log u], we define Si = {v : |v| = i, ∃x ∈ S, x(i) = v}, where x(i) represents the vector restricted to the most significant i positions . For each Si we build a hash table ...
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.