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Basic Data Structures
Basic Data Structures

... – The first difference is the space cost – Algorithms need to think of space costs too! – Main factor is that n is changing dynamically and differently for each of the strategies! – Amortised complexity takes this into account – Counts the average time per operation over a series of operations N D G ...
Lecture Notes on Pointers 1 Introduction
Lecture Notes on Pointers 1 Introduction

... pointers to the linked list that really holds them. The type definition allows us to use queue as a type that represents a pointer to a queue header. We define it this way so we can hide the true implementation of queues from the client and just call it an element of type queue. When does a struct o ...
Algorithmics: Data Structures and Data Types
Algorithmics: Data Structures and Data Types

... which we can interpret as an int of value 80. As programmers, however, we do not want to be concerned with fiddling around with bit patterns, we are only interested in manipulating integer values. The mechanics of the operations we can perform on an int are hidden away – these “irrelevant details” a ...
Chapter 2--Basic Data Structures
Chapter 2--Basic Data Structures

... – Extendable array-based queue: The enqueue operation has amortized running time O(n) with the incremental strategy O(1) with the doubling strategy ...
Parallelization of DNA alignment algorithms using GPUs
Parallelization of DNA alignment algorithms using GPUs

ADTs, Stacks and Queues
ADTs, Stacks and Queues

... public interface Stack {! // accessor methods! public int size(); // returns the number of objects in the stack! public boolean isEmpty(); // returns true if the stack is ...
Linear Data Structures: Lists
Linear Data Structures: Lists

... Implementing a Linked List in C# ...
heap sorting - WordPress.com
heap sorting - WordPress.com

Ecient Index Maintenance Under Dynamic Genome
Ecient Index Maintenance Under Dynamic Genome

Range Majority in Constant Time and Linear Space
Range Majority in Constant Time and Linear Space

CS 130 A: Data Structures and Algorithms
CS 130 A: Data Structures and Algorithms

Data Representation and Linear Structures
Data Representation and Linear Structures

... first->data = x; // put x in head node while (current->data != x) { current = current->link); index++; ...
Linear-Space Data Structures for Range Mode Query in Arrays
Linear-Space Data Structures for Range Mode Query in Arrays

... and the last block spans B[(s − 1)t + 1 : n]. We precompute tables S[0 : s − 1, 0 : s − 1] and S 0 [0 : s − 1, 0 : s − 1], each of size Θ(s2 ), such that for any 0 ≤ bi ≤ bj < s, S[bi , bj ] stores a mode of B[bi t + 1 : (bj + 1)t] and S 0 [bi , bj ] stores the corresponding frequency. The arrays Q1 ...
COSC 2006 Data Structures I
COSC 2006 Data Structures I

GEF4510: Intro to Fortran 95 programming Gunnar Wollan
GEF4510: Intro to Fortran 95 programming Gunnar Wollan

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02_searching

... •We call set of keys that hash to the same location in our list synonymns. •A collision is the event that occurs when a hashing algorithm produces ...
Finding The Maximum Density Axes Parallel Regions for Weighted
Finding The Maximum Density Axes Parallel Regions for Weighted

Data structure - E
Data structure - E

... 35 A linked list whose last node points back to the list node instead of containing the null pointer________. (1) circular list (2) circular doubly linked list (3) linke list (4) doubly linked list 36 Which of the following is two way lists? (1) Grounded header list. (2) Circular header list. (3) li ...
Data Structures & Algorithms
Data Structures & Algorithms

Cache-Oblivious B-Trees
Cache-Oblivious B-Trees

... decomposition [21, 46] and static binary search [40]. These algorithms perform an asymptotically optimal number of memory transfers for any memory hierarchy and at all levels of the hierarchy. More precisely, the number of memory transfers between any two levels is within a constant factor of optima ...
Powerpoint - MHS Comp Sci
Powerpoint - MHS Comp Sci

Linear-Time Computation of Similarity Measures for Sequential Data
Linear-Time Computation of Similarity Measures for Sequential Data

... Assessing the similarity of two sequences is a classical problem of computer science. First approaches, the string distances of Hamming (1950) and Levenshtein (1966), originated in the domain of telecommunication for detection of erroneous data transmissions. The degree of dissimilarity between two ...
Prim`s MST Algorithm
Prim`s MST Algorithm

Topic12
Topic12

Algoritmos y Programacion II
Algoritmos y Programacion II

< 1 ... 12 13 14 15 16 17 18 19 20 ... 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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