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lec1-jan18-12
lec1-jan18-12

pptx
pptx

... Polymorphism: Ability to take different form ...
Data Structures
Data Structures

... • Stacks – Last In First Out (LIFO) – Insert on top – Remove top element ...
Time and location: Materials covered concepts (so far) in a nutshell COS 226
Time and location: Materials covered concepts (so far) in a nutshell COS 226

Structured Data Types and Encapsulation
Structured Data Types and Encapsulation

... the length of the components of the array is known at compilation time. The address of each selected element can be computed using an arithmetic expression. Whole array operations, e.g. copying an array - may require much memory. ...
Array and Multidimensional Array
Array and Multidimensional Array

... Record name versus field name Just like in an array, we have two types of identifier in a record: the name of the record and the name of each individual field inside the record. The name of the record is the name of the whole structure, while the name of each field allows us to refer to that field. ...
Document
Document

... Record name versus field name Just like in an array, we have two types of identifier in a record: the name of the record and the name of each individual field inside the record. The name of the record is the name of the whole structure, while the name of each field allows us to refer to that field. ...
22C:21 Lecture Notes Running time of Binary Search
22C:21 Lecture Notes Running time of Binary Search

... Even when n exceeds a million, log2 (n) is still at 20. This means that even for a million element array, binary search examines (in the worst case) about 21 elements! We will now introduce the notion of the running time of an algorithm (or a function or a program) and talk about how the running tim ...
Lecture 3 – Arrays and ADT
Lecture 3 – Arrays and ADT

... Different types of Array One-dimensional array: only one index is used  Multi-dimensional array: array involving more than one index ...
Static and Dynamic Data Structures
Static and Dynamic Data Structures

... An Example of a Static Data Structure is: An Example of a dynamic Data Structure is: ...
Data Structures
Data Structures

Table Lookup
Table Lookup

... provide that table with an efficient indexing scheme. The table index will allow us to rapidly look up a key value and immediately find the location of the corresponding record in the table. The table will support random access, or at least approximate that, so given a location we can then find the ...
Hill, Thomas M
Hill, Thomas M

1. The memory address of the first element of an array is called A
1. The memory address of the first element of an array is called A

... B. P points to the address of first element in DATA C. P can store only memory addresses D. P contain the DATA and the address of DATA 8. Which of the following data structure can't store the non-homogeneous data elements? A. Arrays B. Records C. Pointers D. None 9. Which of the following data struc ...
Sequential Data Structures
Sequential Data Structures

... used will influence the running time of the methods of the ADT. The definition of an ADT is something done at the beginning of a project, when we are concerned with the specification1 of a system. As an example, if we are implementing a dictionary ADT, we will need to perform operations such as look ...
Have JAVA something to offer in the field of Sparse Matrix
Have JAVA something to offer in the field of Sparse Matrix

1a) Describe the characrteristics of a complete binary tree
1a) Describe the characrteristics of a complete binary tree

... red-black trees ensure that no such path is more than twich as long as any other, so that the tree is approximately balanced. Each node of the tree now contains the fields color, key, left, right, and p. Property of a binary search tree: - Let x be a node in a binary search tree. if y is a node in t ...
Data Structures
Data Structures

... • Values can be can be strings, chars, doubles, matrices, etc… • Values are stored in “fields” (i.e. you can’t loop through them) • Useful for making databases ...
Data Structures I - Binus Repository
Data Structures I - Binus Repository

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Powerpoint

... • Must specify maximum size when declared – And the maximum possible size is always used ...
Ch. 6 Pointers and Data Structures
Ch. 6 Pointers and Data Structures

Introduction to Data Structures
Introduction to Data Structures

... A lists (Linear linked list) can be defined as a collection of variable number of data items. Lists are the most commonly used nonprimitive data structures. An element of list must contain at least two fields, one for storing data or information and other for storing address of next element. As you ...
Buffer Overflow
Buffer Overflow

... STEP 3: Revise the program to eliminate potential buffer overflow problems. You should be able to do this without adding any exception handling code. ...
PPT
PPT

Practical Session 3
Practical Session 3

... L1 and L2 are two linked lists which have a common part of size k. The length of L1, L2 until the 1st common node is n, m respectively. Suggest a way to find the 1st common node in O(n+m+k). (k,n,m are variables, not given) Solution : 1. find the length of L1 and L2 2. In the longer list, find the ( ...
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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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