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Data Structures
Data Structures

... – System.Collections.Hashtable – System.Collections.Generic.Dictionary ...
Parallel Synchronization-Free Approximate Data Structure
Parallel Synchronization-Free Approximate Data Structure

... computation that processes noisy data from real-world sensors, employs standard approximations such as discretization, or is designed to please a subjective human consumer (for example, search, entertainment, or gaming applications), falls into this class. Applications such as video or dynamic web p ...
Sorting
Sorting

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A Second Year Course on Data Structures Based on Functional

... That is, the main wonderings of the course are abstraction and efficiency. The reasons for this choice are the same as in the imperative case: a first advanced programming course must put the emphasis more in fundamental concepts and techniques than in broading the programmer catalog of available al ...
ADT Dictionaries and Hashing
ADT Dictionaries and Hashing

Data structures: Linked Lists
Data structures: Linked Lists

... —don’t have a pre-determined fixed size; they are truly dynamic, they grow one node at a time —to access the ith element, you need to navigate to it; in other words, you cannot access any element in O(1) time, like with vectors. —requires more space (store a link to a node for each element). —a list ...
Chapter 13 Introduction to Data Types and Structures
Chapter 13 Introduction to Data Types and Structures

... formal sense without regard to any particular implementation or programming language. Finally, a realization of an ADT involves two parts • the interface, specification, or documentation of the ADT: what is the purpose of each operation and what is the syntax for using it. • the implementation of th ...
Secondary Index
Secondary Index

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question-paper-Data-Structures-with-C-06cs35-10cs35

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CS-305 - ITM GOI

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Hash Table
Hash Table

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Stacks

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Singly-Linked Lists

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CE221_week_3_Chapter3_ListStackQueuePart1

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CE221_week_3_Chapter3_ListStackQueuePart1
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File - Prof H.M.Patel

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Problem Solving Patterns

... elements are all less than A[i], and are followed by elements equal to A[i], which in turn are followed by elements greater than A[i], using O(1) space. The key to the solution is to maintain two regions on opposite sides of the array that meet the requirements, and expand these regions one element ...
Recursively Partitioned Static IP Router-Tables
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... each subtree of a binary trie into a single node, which we call a supernode, that can be searched with a number of memory accesses that is less than the number of levels collapsed into the supernode. For example, we can access the correct child pointer (as well as its associated prefix/next hop) in ...
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... – Phone number and ID numbers can be converted by removing the hyphens. – Characters can be converted using ASCII. – Strings can be converted by converting each character using ASCII, and then interpreting the string of natural numbers as if it where stored base 128. ...
Hash Tables
Hash Tables

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Array data structure

In computer science, an array data structure or simply an array is a data structure consisting of a collection of elements (values or variables), each identified by at least one array index or key. An array is stored so that the position of each element can be computed from its index tuple by a mathematical formula. The simplest type of data structure is a linear array, also called one-dimensional array.For example, an array of 10 32-bit integer variables, with indices 0 through 9, may be stored as 10 words at memory addresses 2000, 2004, 2008, ... 2036, so that the element with index i has the address 2000 + 4 × i.Because the mathematical concept of a matrix can be represented as a two-dimensional grid, two-dimensional arrays are also sometimes called matrices. In some cases the term ""vector"" is used in computing to refer to an array, although tuples rather than vectors are more correctly the mathematical equivalent. Arrays are often used to implement tables, especially lookup tables; the word table is sometimes used as a synonym of array.Arrays are among the oldest and most important data structures, and are used by almost every program. They are also used to implement many other data structures, such as lists and strings. They effectively exploit the addressing logic of computers. In most modern computers and many external storage devices, the memory is a one-dimensional array of words, whose indices are their addresses. Processors, especially vector processors, are often optimized for array operations.Arrays are useful mostly because the element indices can be computed at run time. Among other things, this feature allows a single iterative statement to process arbitrarily many elements of an array. For that reason, the elements of an array data structure are required to have the same size and should use the same data representation. The set of valid index tuples and the addresses of the elements (and hence the element addressing formula) are usually, but not always, fixed while the array is in use.The term array is often used to mean array data type, a kind of data type provided by most high-level programming languages that consists of a collection of values or variables that can be selected by one or more indices computed at run-time. Array types are often implemented by array structures; however, in some languages they may be implemented by hash tables, linked lists, search trees, or other data structures.The term is also used, especially in the description of algorithms, to mean associative array or ""abstract array"", a theoretical computer science model (an abstract data type or ADT) intended to capture the essential properties of arrays.
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