2. feature extraction by texture
... in k-dimensions. The data structure is a height-balanced tree which consists of intermediate and leaf nodes. Data objects are stored in leaf nodes and intermediate nodes are built by grouping rectangles at the lower level. Each intermediate node is associated with some rectangle which completely enc ...
... in k-dimensions. The data structure is a height-balanced tree which consists of intermediate and leaf nodes. Data objects are stored in leaf nodes and intermediate nodes are built by grouping rectangles at the lower level. Each intermediate node is associated with some rectangle which completely enc ...
Introduction to Data Structures Using C
... One important relationship in the binary tree is the parent-child relationship. Parent nodes have at least one edge to the node lower in the tree. This lower node is called the child node. Nodes can have more than one child, but the children can only have a single parent. Notice that the root node ...
... One important relationship in the binary tree is the parent-child relationship. Parent nodes have at least one edge to the node lower in the tree. This lower node is called the child node. Nodes can have more than one child, but the children can only have a single parent. Notice that the root node ...
union-find
... In this lecture, we describe some methods for maintaining a collection of disjoint sets. Each set is represented as a pointer-based data structure, with one node per element. We will refer to the elements as either ‘objects’ or ‘nodes’, depending on whether we want to emphasize the set abstraction o ...
... In this lecture, we describe some methods for maintaining a collection of disjoint sets. Each set is represented as a pointer-based data structure, with one node per element. We will refer to the elements as either ‘objects’ or ‘nodes’, depending on whether we want to emphasize the set abstraction o ...
A Practical Introduction to Data Structures and Algorithm Analysis
... For all values of n > 1, csn/2 ≤ csn. Therefore, by the definition, T(n) is in O(n) for n0 = 1 and c = cs. Example 2. T(n) = c1n2 + c2n in average case c1n2 + c2n ≤ c1n2 + c2n2 ≤ (c1 + c2)n2 for all ...
... For all values of n > 1, csn/2 ≤ csn. Therefore, by the definition, T(n) is in O(n) for n0 = 1 and c = cs. Example 2. T(n) = c1n2 + c2n in average case c1n2 + c2n ≤ c1n2 + c2n2 ≤ (c1 + c2)n2 for all ...
Data Structures and Algorithms
... method for processing a data structure that applies a given operation to each element of the structure. For example, if the operation is to print the contents of the element, then the traversal would print every element in the structure. The process of applying the operation to an element is called ...
... method for processing a data structure that applies a given operation to each element of the structure. For example, if the operation is to print the contents of the element, then the traversal would print every element in the structure. The process of applying the operation to an element is called ...
Generalizing Database Access Methods
... of the file containing the desired item. For disk files, an index allows the number of disk accesses to be reduced. An index may be physically integrated with the file, like the labels on employee folders, or physically separate, like the labels on the drawers. Usually the index itself is a file. If ...
... of the file containing the desired item. For disk files, an index allows the number of disk accesses to be reduced. An index may be physically integrated with the file, like the labels on employee folders, or physically separate, like the labels on the drawers. Usually the index itself is a file. If ...
Fast Compressed Tries through Path Decompositions
... We define a binary tree as a tree where each node is either an internal node that has exactly two children or a leaf . It follows immediately that a binary tree with n internal nodes has n + 1 leaves. An example of binary trees is given by binary compacted tries. Note that there is another popular d ...
... We define a binary tree as a tree where each node is either an internal node that has exactly two children or a leaf . It follows immediately that a binary tree with n internal nodes has n + 1 leaves. An example of binary trees is given by binary compacted tries. Note that there is another popular d ...
Heaps and Priority Queues
... If we load an array once and do thousands of searches on it, we want to make searching fast—so we would probably sort the array If we load a huge array and expect to do only a few searches, we probably don’t want to spend time sorting the array ...
... If we load an array once and do thousands of searches on it, we want to make searching fast—so we would probably sort the array If we load a huge array and expect to do only a few searches, we probably don’t want to spend time sorting the array ...
Heap Sort - Priority Queues
... Use of binary heap is so common for priority queue implementations, thus the word heap is usually assumed to be the implementation of the data structure ...
... Use of binary heap is so common for priority queue implementations, thus the word heap is usually assumed to be the implementation of the data structure ...
Richard Tarjent
... this problem has already come up several times in some of the talks in the conference “Second Haifa Workshop on Interdisciplinary Applications of Graph Theory, Combinatorics and Algorithms.” The goal is to maintain a collection of n elements which are partitioned into sets, i.e., the sets are always ...
... this problem has already come up several times in some of the talks in the conference “Second Haifa Workshop on Interdisciplinary Applications of Graph Theory, Combinatorics and Algorithms.” The goal is to maintain a collection of n elements which are partitioned into sets, i.e., the sets are always ...
Review questions for Chapter 8
... 65. Describe the two general approaches to implementing an abstract data type. Answer: An array-based approach stores items in the array, whereas a linked approach dynamically connects nodes containing the items into a linked structure. ...
... 65. Describe the two general approaches to implementing an abstract data type. Answer: An array-based approach stores items in the array, whereas a linked approach dynamically connects nodes containing the items into a linked structure. ...
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.