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Generics&Collections
Generics&Collections

Chapter 12: Dictionary (Hash Tables)
Chapter 12: Dictionary (Hash Tables)

... search request is received, the cache will examine the hash table. If the value is found in the cache, it is simply returned. If it is not found, then the original data structure is examined. If it is found there, the retrieved item replaces the value stored in the cache. Because the new item is now ...
Amortized Analysis and Union-Find - Algorithms for Massive Data Sets
Amortized Analysis and Union-Find - Algorithms for Massive Data Sets

... mandag den 28. feb 2011 ...
PypeR, A Python Package for Using R in Python
PypeR, A Python Package for Using R in Python

... this in the opposite direction to NumPy. For example, the shape of a N-dimension array in NumPy is (d1 , d2 , · · · , dn−2 , dn−1 , dn ), where d1 is the size of the outermost dimension, dn−1 and dn are the row number and column number of the innermost sub-arrays. To keep the same nesting structure, ...
chap8
chap8

dataStruct
dataStruct

... // The original item that was at the head of the list // no longer has anything referencing it and will be // garbage collected in Java. In other programming languages // e.g. C++, you would have to delete it other wise you // would get a memory leak. ...
pq - Green Cedars
pq - Green Cedars

... •Heap: store elements in an array satisfying the heap condition. •Heap condition: the key in each node is >= keys in children (if any) •Definition: a heap is a complete binary tree, represented as an array, in which every node satisfies the heap condition. The largest key is the 1st position of the ...
Abstract Data Types (ADTs) An ADT Example Stacks The Stack ADT
Abstract Data Types (ADTs) An ADT Example Stacks The Stack ADT

... The space used is O( n) Each operation runs in time O(1) ...
lecture notes
lecture notes

... the Finnish course: OHJ-2010 Tietorakenteiden käyttö. The lecture notes have been edited based on the material written by professor Antti Valmari for the course Tietorakenteet ja algoritmit. Minna Ruuska has done most of the editorial work for the Finnish lecture material. The editorial choises made ...
Reducing the Storage Overhead of Main
Reducing the Storage Overhead of Main

Paper II - University of Mumbai
Paper II - University of Mumbai

De-amortized Cuckoo Hashing: Provable Worst
De-amortized Cuckoo Hashing: Provable Worst

... Dynamic real-time hashing. Dietzfelbinger and Meyer auf der Heide [DMadH90] constructed the first dynamic dictionary with worst case time per operation and linear space (the construction is based on the dynamic dictionary of Dietzfelbinger et al. [DKM+ 94]). Specifically, for any constant c > 0 (det ...
PDF
PDF

binary tree
binary tree

... Some basic and general data structures appear as elements of programming languages, e.g., as types: arrays, strings, sets, records, …) Some other: abstract data structures are more specialised and complex (stacks, queues, lists, trees, graphs, …) ...
Advanced Higher Computing Stacks and Queues
Advanced Higher Computing Stacks and Queues

... Team Russia is to be added to the medal table between Germany and the USA. Describe how team Russia would be added to the correct place inthe linked list. ...
Program Design Including Data Structures, Fifth Edition
Program Design Including Data Structures, Fifth Edition

Efficient Differential Timeslice Computation
Efficient Differential Timeslice Computation

... tree) is then used to compute page positions for the time tx in the backlog. The three resulting page positions can be used to predict whether it is going to be more efficient to incrementally compute R(tx ) from R(tx−1 ) or decrementally compute R(tx ) from R(tx+1 ). The PLI-tree is a degenerate, s ...
21 Collections of data
21 Collections of data

... class for other programmers to use. They may need to make changes or extensions. They need to be able to retest the code. You, as a class implementor, are responsible for providing this testing code. These test programs need not be anything substantial. You just have to use all the member functions ...
lecture10
lecture10

... • hash(s) = floor(s·m) maps from 0  s < 1 to 0..m-1 › m = 10 s ...
Stack
Stack

...  Initialisation of an empty stack A single operation push or pop requires an equal execution time, regardless of the number of already stored elements ...
B + -Tree Index Files
B + -Tree Index Files

... If there is such a value i, follow pointer Pi to the desired record. Else no record with search-key value k exists. ...
linked list - UT Computer Science
linked list - UT Computer Science

... node of the same type, or even to refer to itself – node: contains data of any type, including a reference to another node of the same data type, or to nodes of different data types – Usually a list will have a beginning and an end; the first element in the list is accessed by a reference to that cl ...
research paper on stack and queue
research paper on stack and queue

... Abstract- This paper involves the concept of stack and queue used in data structure basically two of the more common data objects found in computer algorithms are stacks and queues. Both of these objects are special cases of the more general data object, an ordered list. A stack is a container of ob ...
An Extensive Examination of Data Structures Using C# 2.0
An Extensive Examination of Data Structures Using C# 2.0

... The asymptotic running time of an algorithm measures how the performance of the algorithm fares as the number of steps that the algorithm must perform approaches infinity. When the running time for one algorithm is said to be greater than another's, what this means mathematically is that there exist ...
Database Indexes
Database Indexes

< 1 ... 5 6 7 8 9 10 11 12 13 ... 47 >

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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