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Fundamental Data Structures - University of North Florida
Fundamental Data Structures - University of North Florida

... "imperative" operations, these functions have no side effects. Therefore, the order in which they are evaluated is immaterial, and the same operation applied to the same arguments (including the same input states) will always return the same results (and output states). In the functional view, in pa ...
Geometric range searching - Stanford Computer Graphics
Geometric range searching - Stanford Computer Graphics

Czech Technical University in Prague Faculty of Information
Czech Technical University in Prague Faculty of Information

A Decision Procedure for Concurrent Skiplists
A Decision Procedure for Concurrent Skiplists

A Practical Introduction to Data Structures and Algorithm
A Practical Introduction to Data Structures and Algorithm

... I recommend that all students taking a data structures course be required to implement some advanced tree structure, or another dynamic structure of comparable difficulty such as the skip list or sparse matrix representations of Chapter 12. None of these data structures are significantly more diffic ...
CHAPTER 18 Linked Lists, Stacks, Queues, and Priority
CHAPTER 18 Linked Lists, Stacks, Queues, and Priority

Comparative Study of 2-heap, Skew
Comparative Study of 2-heap, Skew

... stored in single disk block which reduces number of times a disk block is accesd.more number of values is placed into cache as compared to only two blocks in case of Binary Heap. Ternary structure improves disk optimization. Normally, when we use ternary or k-aryl structures, it requires k.log (n)/l ...
on queue - Text of NPTEL IIT Video Lectures
on queue - Text of NPTEL IIT Video Lectures

Inverted Indexes for Phrases and Strings∗
Inverted Indexes for Phrases and Strings∗

DS | 6. Link Lists
DS | 6. Link Lists

...  We can go to any node, in linear linked list it is not possible to go to previous node.  It saves time when we have to go to the first node from the last node. It can be done in single step because there is no need to traverse the in between nodes. But in double linked list, we will have to go th ...
Chapter 8 DYNAMIC DATA STRUCTURES AND LISTS 8.1 Pointers
Chapter 8 DYNAMIC DATA STRUCTURES AND LISTS 8.1 Pointers

... -----------------------------------------Often more than one pointer will point to the same object. For this reason, you must be careful when returning the storage occupied by a record to the heap. If memory is reallocated after it is returned, errors may result. Make sure that you have no need for ...
lecture notes
lecture notes

Worksheet 33: Heaps and Priority Queues
Worksheet 33: Heaps and Priority Queues

... value of each node is less than or equal to each of its child nodes. This is termed the heap order property. Notice that a heap is partially ordered, but not completely. In particular, the smallest element is always at the root. Although we will continue to think of the heap as a tree, the internal ...
Scalable Address Spaces Using RCU Balanced Trees - PDOS-MIT
Scalable Address Spaces Using RCU Balanced Trees - PDOS-MIT

Data structures for various distributions of data
Data structures for various distributions of data

... In the past years the computers have been increasing their processing power and storage capacity very rapidly. As the process is expected to continue in the future, it might seem that efficient algorithms and data structures become less important. However, the more one has, the more he wants. The de ...
Scalable Address Spaces Using RCU Balanced Trees
Scalable Address Spaces Using RCU Balanced Trees

lec6
lec6

Part III Data Structures
Part III Data Structures

... 4. If a node is red then both its children are black. The null-pointers in a binary search tree are replaced by pointers to special null-vertices, that do not carry any object-data. ...
Mining Frequent Patterns without Candidate Generation
Mining Frequent Patterns without Candidate Generation

... Second, one may create the root of a tree, labeled with \null". Scan the DB the second time. The scan of the rst transaction leads to the construction of the rst branch of the tree: (f:1); (c:1); (a:1); (m:1); (p:1) . Notice that the frequent items in the transaction is ordered according to the or ...
A Simple Optimal Representation for Balanced Parentheses
A Simple Optimal Representation for Balanced Parentheses

odd semester (2014 – 2015)
odd semester (2014 – 2015)

...  -to delete a substring from the given String  ==to check for the equivalence of both atring (Nov/dec 2013). 3. Write a Menu driven program for accept two integers and an operator to perform the operation (+,-,*,/,%) and print the result(16) (Nov/dec 2012) 4. Specify the class called complex to re ...
The SprayList: A Scalable Relaxed Priority Queue
The SprayList: A Scalable Relaxed Priority Queue

... While a DeleteMin in an exact priority queue returns the element with the smallest key—practically one of the p smallest keys if p threads are calling DeleteMin concurrently— the SprayList ensures that the returned key is among the O(p log3 p) smallest keys (for some linearization of operations), an ...
4. Development of a Topological Data Structure for On-the
4. Development of a Topological Data Structure for On-the

... server to the client. Another way to obtain a geometric description of all faces, is to include the query window in the list of edges used to create the geometric description of the faces, and to intersect the edges inside of the map window with the boundary of that window. With this new set of edge ...
New data structures and algorithms for the efficient management of
New data structures and algorithms for the efficient management of

... grids with large clusters of uniform values, with applications to the representation of binary raster data; 2) a new data structure to represent multidimensional binary grids; 3) a new data structure to represent grids of integers with support for top-k range queries. We also propose a new dynamic r ...
Logarithmic Lower Bounds in the Cell
Logarithmic Lower Bounds in the Cell

... Lower bound for information transfer through one node Can simulate data structure for time interval in right subtree ⇒ can recover answer to queries from right subtree Expected linear interleave between update indices in left subtree and query indices in right subtree ⇒ query answers encode a linea ...
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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.
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