lecture notes
... General information on graph algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . 267 ...
... General information on graph algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . 267 ...
INTRODUCTION TO C - Technicalsymposium
... The statement may be a single statement or a block of statements that is to be repeated. The condition may be any expression, with true being any non-zero value. The statements are executed while the condition is true. When the condition becomes false, program control passes to the line after the lo ...
... The statement may be a single statement or a block of statements that is to be repeated. The condition may be any expression, with true being any non-zero value. The statements are executed while the condition is true. When the condition becomes false, program control passes to the line after the lo ...
Tries for Approximate String Matching
... dictionary for spelling check, then we need only store the index, and we can often achieve compression as well as retrieval speed. Tries have been used to index very large texts [10, 18] and are the only known truly sublinear way to do so. Tries are trees in which nodes are empty but have a potentia ...
... dictionary for spelling check, then we need only store the index, and we can often achieve compression as well as retrieval speed. Tries have been used to index very large texts [10, 18] and are the only known truly sublinear way to do so. Tries are trees in which nodes are empty but have a potentia ...
Stronger Lempel-Ziv Based Compressed Text Indexing | SpringerLink
... With the huge amount of text data available nowadays, the full-text search problem plays a fundamental role in modern computer applications, which include text databases in general. Unlike word-based text searching, we wish to find any text substring, not only whole words or phrases. This has applic ...
... With the huge amount of text data available nowadays, the full-text search problem plays a fundamental role in modern computer applications, which include text databases in general. Unlike word-based text searching, we wish to find any text substring, not only whole words or phrases. This has applic ...
What is data structure
... To develop a program of an algorithm, we should select an appropriate data structure for that algorithm. Therefore algorithm and its associated data structures form a program. Algorithm + Data structure = Program A static data structure is one whose capacity is fixed at creation. For example, array. ...
... To develop a program of an algorithm, we should select an appropriate data structure for that algorithm. Therefore algorithm and its associated data structures form a program. Algorithm + Data structure = Program A static data structure is one whose capacity is fixed at creation. For example, array. ...
Workbook - Skylight Publishing
... turn takes a few stones from any one pile. Every player must take at least one stone on every turn. The player who takes the last stone wins. Games of this type often have a winning strategy. This strategy can be established by tagging all possible positions in the game with two tags, “plus” and “mi ...
... turn takes a few stones from any one pile. Every player must take at least one stone on every turn. The player who takes the last stone wins. Games of this type often have a winning strategy. This strategy can be established by tagging all possible positions in the game with two tags, “plus” and “mi ...
DATA STRUCTURES WITH C/C++ LABORATORY
... The nodes in the list can be accessed using a pointer variable. In the above fig. FIRST is the pointer having the address of the first node of the list, initially before creating the list, as list is empty. The FIRST will always be initialized to NULL in the beginning. Once the list is created, FIRS ...
... The nodes in the list can be accessed using a pointer variable. In the above fig. FIRST is the pointer having the address of the first node of the list, initially before creating the list, as list is empty. The FIRST will always be initialized to NULL in the beginning. Once the list is created, FIRS ...
Mining Frequent Patterns without Candidate Generation
... been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach. However, candidate set generation is still costly, especially when there exist proli c patterns and/or long patterns. In this study, we propose a novel frequ ...
... been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach. However, candidate set generation is still costly, especially when there exist proli c patterns and/or long patterns. In this study, we propose a novel frequ ...
Database System Concepts, 5th Ed
... if an entry for the search key exists in the index, it is deleted by replacing the entry in the index with the next search-key value in the file (in search-key order). ...
... if an entry for the search key exists in the index, it is deleted by replacing the entry in the index with the next search-key value in the file (in search-key order). ...
ppt
... being inserted) in sorted order. Place the first n/2 in the original node, and the rest in a new node. ...
... being inserted) in sorted order. Place the first n/2 in the original node, and the rest in a new node. ...
data_structure_IIISem_ECE - Dronacharya College of Engineering
... pushed onto some stack could provide a termination condition; and in the latter case this termination condition is usually related to the form of the data structure being traversed. Q8. What is the main difference between linear and binary search? Ans: A linear search looks down a list, one item at ...
... pushed onto some stack could provide a termination condition; and in the latter case this termination condition is usually related to the form of the data structure being traversed. Q8. What is the main difference between linear and binary search? Ans: A linear search looks down a list, one item at ...
Subtext: Uncovering the Simplicity of Programming
... second, … = nodes should be presented in this more familiar mathematical style when the structure is collapsed. This convention is a user-selectable option that can be altered globally or locally. ...
... second, … = nodes should be presented in this more familiar mathematical style when the structure is collapsed. This convention is a user-selectable option that can be altered globally or locally. ...
4. towards a theory of copying
... second, … = nodes should be presented in this more familiar mathematical style when the structure is collapsed. This convention is a user-selectable option that can be altered globally or locally. ...
... second, … = nodes should be presented in this more familiar mathematical style when the structure is collapsed. This convention is a user-selectable option that can be altered globally or locally. ...
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.