Arrays are a simple data structure for storing a group of elements of the same type in contiguous memory locations. Elements in an array are identified by an index, with one-dimensional arrays having a single index and two-dimensional arrays having two indices for row and column. Common operations on arrays include traversing elements, searching for a value, and sorting the elements. Arrays can be declared statically at compile-time or dynamically allocated at runtime using pointers and memory allocation functions.
An array is a data structure that contains a group of elements. Typically these elements are all of the same data type, such as an integer or string. Arrays are commonly used in computer programs to organize data so that a related set of values can be easily sorted or searched.
The syntax for storing and displaying the values in an array typically looks something like this:
arrayname[0] = "This ";
arrayname[1] = "is ";
arrayname[2] = "pretty simple.";
print arrayname[0];
print arrayname[1];
print arrayname[2];
This document provides an overview of data structures and algorithms. It discusses primitive and non-primitive data structures. Non-primitive structures include arrays, files, lists (linear and non-linear), stacks, queues, graphs and trees. Common operations on data structures are creation, destruction, selection, and updation. Arrays have limitations such as static memory allocation and complex insertions/deletions. Lists allow dynamic memory allocation. The document also discusses merging arrays, two-dimensional arrays stored in row-major and column-major format, sparse matrices, and representing polynomials using arrays.
Arrays allow storing multiple values of the same data type together in computer memory. One-dimensional arrays use a single subscript to access each element, while two-dimensional arrays use two subscripts to represent the row and column of each element. Elements in arrays are stored contiguously in memory. Common operations on arrays include initialization, accessing elements, and sorting or searching elements.
This document discusses stacks and queues as data structures. It begins by defining a stack as a linear collection where elements are added and removed from the top in a last-in, first-out (LIFO) manner. Common stack operations like push, pop, and peek are described. It then discusses applications of stacks like undo sequences and method calls. The document also defines queues as collections where elements are added to the rear and removed from the front in a first-in, first-out (FIFO) manner. Common queue operations and applications like waiting lists and printer access are also covered. Finally, it discusses implementations of stacks and queues using arrays and how to handle overflow and underflow cases.
Array
one d array ,two D array , pointers
and covering most of the important topic and well written and easy to understand for the #arrays .
This presentation about data structure and algorithm on the topic of Arrays. I put all efforts to make this presentation.
I hope you understand my work .
Here are the steps to solve this problem:
1. Declare and initialize a 2D array to store roll numbers and marks of 5 students in 5 subjects.
2. Write a loop to input roll numbers and marks from the user.
3. Calculate the average of each student by summing marks of all subjects and dividing by total subjects.
4. Write if conditions to check averages above 80 and below 40 and print appropriate roll numbers and averages.
5. Calculate overall average by summing averages of all students and dividing by total students.
6. Print the overall average.
The document discusses different data structures like arrays, linked lists, stacks, and queues, explaining what they are, common operations on them like searching and sorting, as well as examples of algorithms for implementing common operations like insertion and deletion on each data structure. Key data structures are explained along with their properties and typical applications.
An array is a data structure that contains a group of elements. Typically these elements are all of the same data type, such as an integer or string. Arrays are commonly used in computer programs to organize data so that a related set of values can be easily sorted or searched.
The syntax for storing and displaying the values in an array typically looks something like this:
arrayname[0] = "This ";
arrayname[1] = "is ";
arrayname[2] = "pretty simple.";
print arrayname[0];
print arrayname[1];
print arrayname[2];
This document provides an overview of data structures and algorithms. It discusses primitive and non-primitive data structures. Non-primitive structures include arrays, files, lists (linear and non-linear), stacks, queues, graphs and trees. Common operations on data structures are creation, destruction, selection, and updation. Arrays have limitations such as static memory allocation and complex insertions/deletions. Lists allow dynamic memory allocation. The document also discusses merging arrays, two-dimensional arrays stored in row-major and column-major format, sparse matrices, and representing polynomials using arrays.
Arrays allow storing multiple values of the same data type together in computer memory. One-dimensional arrays use a single subscript to access each element, while two-dimensional arrays use two subscripts to represent the row and column of each element. Elements in arrays are stored contiguously in memory. Common operations on arrays include initialization, accessing elements, and sorting or searching elements.
This document discusses stacks and queues as data structures. It begins by defining a stack as a linear collection where elements are added and removed from the top in a last-in, first-out (LIFO) manner. Common stack operations like push, pop, and peek are described. It then discusses applications of stacks like undo sequences and method calls. The document also defines queues as collections where elements are added to the rear and removed from the front in a first-in, first-out (FIFO) manner. Common queue operations and applications like waiting lists and printer access are also covered. Finally, it discusses implementations of stacks and queues using arrays and how to handle overflow and underflow cases.
Array
one d array ,two D array , pointers
and covering most of the important topic and well written and easy to understand for the #arrays .
This presentation about data structure and algorithm on the topic of Arrays. I put all efforts to make this presentation.
I hope you understand my work .
Here are the steps to solve this problem:
1. Declare and initialize a 2D array to store roll numbers and marks of 5 students in 5 subjects.
2. Write a loop to input roll numbers and marks from the user.
3. Calculate the average of each student by summing marks of all subjects and dividing by total subjects.
4. Write if conditions to check averages above 80 and below 40 and print appropriate roll numbers and averages.
5. Calculate overall average by summing averages of all students and dividing by total students.
6. Print the overall average.
The document discusses different data structures like arrays, linked lists, stacks, and queues, explaining what they are, common operations on them like searching and sorting, as well as examples of algorithms for implementing common operations like insertion and deletion on each data structure. Key data structures are explained along with their properties and typical applications.
One-dimensional arrays allow storing related data in a single variable. They can be initialized and populated by entering values for each element using its index or subscript. Array contents can be displayed in a loop by accessing each element. Functions can operate on entire arrays by passing the array name. Common array operations include calculating totals/averages, searching, sorting, and accessing individual elements.
The first lecture of the ACM Aleppo CPC training. The local contest of ICPC. This lecture will help you get started in programming contests word with the lower bound techniques. The lectures focus on the C++ programming language and the STL library to solve programming problems.
Arrays in C and C++ allow storing collections of elements of the same type contiguously in memory. Arrays can be declared with an explicit size or implicitly based on initialization values. Array indexes always start at 0. Pointers are frequently used with arrays, as arrays essentially behave like pointers - arrays names represent the address of the first element. Functions can accept arrays as parameters using pointers, allowing the function to access and modify the elements of the passed array.
The document discusses arrays in C programming. It defines arrays as a collection of similar data types that are stored sequentially in memory. Arrays can be initialized statically during declaration or dynamically during program execution. Elements in an array are accessed using indexes. Example programs demonstrate declaring and processing one-dimensional arrays, including finding the average of student marks and searching for an element. Binary search and bubble sort algorithms for arrays are also explained with code examples.
The document compares linear and non-linear data structures. Linear data structures have elements arranged sequentially that can each be accessed through a single traversal, while non-linear structures have hierarchical elements at multiple levels that require multiple traversals. Linear structures are easier to implement and traverse but use memory less efficiently, while non-linear structures use memory more efficiently but are more complex. Common examples of linear and non-linear structures provided are arrays/lists and graphs/trees respectively.
The document provides information about stacks and their implementation and applications. It discusses representing stacks using static and dynamic arrays. It describes basic stack operations like push, pop, peek, isEmpty and size. It discusses multiple stack implementation using a single array and provides pseudocode. It also discusses applications of stacks like reversing a list, calculating factorials recursively, infix to postfix conversion, evaluating arithmetic expressions and the Towers of Hanoi problem.
The document discusses arrays in C programming language. It defines an array as a collection of items stored at contiguous memory locations that can be accessed randomly using indices. Arrays allow storing homogeneous data in an organized linear structure. The key points covered include: declaration and initialization of arrays; accessing array elements; advantages like easy traversal and sorting; disadvantages like fixed size; and examples of one-dimensional and two-dimensional arrays. Common array operations like searching, sorting and traversal algorithms are also explained.
The document defines and describes different types of arrays in C programming. It states that arrays can hold multiple values of the same data type and are used to store data in linear or tabular form. The key types discussed are one-dimensional, two-dimensional, and multi-dimensional arrays. It provides examples and explains how to declare, initialize, search and sort each array type.
Unit – VIII discusses searching and hashing techniques. It describes linear and binary searching algorithms. Linear search has O(n) time complexity while binary search has O(log n) time complexity for sorted arrays. Hashing is also introduced as a technique to allow O(1) access time by mapping keys to array indices via a hash function. Separate chaining and open addressing like linear probing and quadratic probing are described as methods to handle collisions during hashing.
Arrays allow storing and manipulating a collection of related data elements. They can hold groups of integers, characters, or other data types. Declaring individual variables becomes difficult when storing many elements, so arrays provide an efficient solution. Arrays are declared with a datatype and size, and elements can be initialized, accessed, inserted, deleted, and manipulated using their index positions. Common array operations include displaying values, finding maximum/minimum values, calculating sums, and passing arrays to functions. Multi-dimensional arrays extend the concept to store elements in a table structure accessed by row and column indexes.
Queue is a first-in, first-out (FIFO) data structure. It can be implemented using arrays or linked lists. The key operations are enqueue to add an item to the rear and dequeue to remove an item from the front. When using an array to implement a queue, a front and rear pointer track the first and last elements. Items are added by incrementing rear and removed by incrementing front. A circular queue solves the problem of overflow by treating the array as a circular structure.
Arrays allow the storage of multiple values of the same type in memory locations next to each other. Arrays must be declared with a size and can then be accessed using indexes. Common array operations include traversal, insertion, deletion, searching and sorting. Two-dimensional arrays, also called matrices, store arrays of data in rows and columns. Strings in C are arrays of characters that end with a null terminator. Structures allow the grouping of different data types under one name. Enumerated types define a list of named integer constants.
Linear data structures include arrays, strings, stacks, queues, and lists. Arrays store elements contiguously in memory, allowing efficient random access. Linked lists store elements non-contiguously, with each element containing a data field and pointer to the next element. This allows dynamic sizes but less efficient random access. Linear data structures are ordered, with each element having a single predecessor and successor except for the first and last elements.
The document discusses different types of arrays. An array is a collection of consecutive memory locations with the same name and data type. Arrays allow storing multiple values under a single name. The key types are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be visualized as a table with rows and columns. The document also covers array initialization, accessing elements, searching, sorting, and provides examples of one-dimensional and two-dimensional arrays.
This document discusses arrays and pointers in C programming. It begins by defining an array as a collection of homogeneous data elements stored sequentially in memory. One-dimensional and multi-dimensional arrays are described. The document provides examples of declaring, initializing, accessing, and manipulating array elements, including passing arrays to functions and returning arrays from functions. It also covers pointers and their use in relation to arrays.
An Introduction to Programming in Java: ArraysMartin Chapman
An Introduction to Programming in Java: Arrays. Last delivered in 2012. All educational material listed or linked to on these pages in relation to King's College London may be provided for reference only, and therefore does not necessarily reflect the current course content.
This document provides an overview of Java arrays, strings, and collections. It discusses single and multi-dimensional arrays, parsing command line arguments, and the advantages and disadvantages of arrays. It also covers the ArrayList class, iterating with iterators and list iterators, and common collection methods. Finally, it summarizes working with dates, the String class, and StringBuilder.
The document discusses data structures and introduces common data structures like stacks and queues. It explains that stacks follow LIFO order and have push and pop operations, while queues follow FIFO order and have enqueue and dequeue operations. Array-based and linked list implementations of stacks and queues are described, with their time and space complexities analyzed. Exceptions for invalid operations like popping an empty stack are also covered.
The document discusses arrays in Java. It begins by defining what an array is - a structured data type that stores a fixed number of elements of the same type. It then covers how to declare and initialize one-dimensional arrays, manipulate array elements using loops and indexes, and how to pass arrays as parameters to methods. The document also discusses arrays of objects and multidimensional arrays.
This document provides an overview of a course on data structures and applications. The course covers fundamental data structures like arrays, stacks, queues, linked lists, trees, graphs, and hashing. It aims to teach how to represent data structures linearly, design solutions to problems using various data structures, and apply hashing techniques. The modules cover introduction to data structures and arrays, stacks and queues, linked lists, trees, and graphs and hashing.
The document discusses strings in C including how to declare, initialize, input, output, and manipulate strings using standard library functions as well as how to manage arrays of strings. It provides examples of declaring and initializing strings, using scanf and gets to input strings, common string manipulation functions like strlen and strcpy, and demonstrates how to work with arrays of strings such as storing and sorting a list of names.
The document discusses several standard C libraries:
1. The standard library (stdlib.h) contains commonly used functions like abs(), rand(), exit(), and functions for dynamic memory allocation.
2. The time library (time.h) contains functions that work with time values like time() and clock(). It defines time_t and clock_t data types.
3. The math library (math.h) contains common mathematical functions like sqrt(), pow(), log(), and trigonometric functions. It also defines mathematical constants.
4. The character library (ctype.h) contains functions that test character properties like isalpha() and isdigit().
The document provides examples of functions from each
One-dimensional arrays allow storing related data in a single variable. They can be initialized and populated by entering values for each element using its index or subscript. Array contents can be displayed in a loop by accessing each element. Functions can operate on entire arrays by passing the array name. Common array operations include calculating totals/averages, searching, sorting, and accessing individual elements.
The first lecture of the ACM Aleppo CPC training. The local contest of ICPC. This lecture will help you get started in programming contests word with the lower bound techniques. The lectures focus on the C++ programming language and the STL library to solve programming problems.
Arrays in C and C++ allow storing collections of elements of the same type contiguously in memory. Arrays can be declared with an explicit size or implicitly based on initialization values. Array indexes always start at 0. Pointers are frequently used with arrays, as arrays essentially behave like pointers - arrays names represent the address of the first element. Functions can accept arrays as parameters using pointers, allowing the function to access and modify the elements of the passed array.
The document discusses arrays in C programming. It defines arrays as a collection of similar data types that are stored sequentially in memory. Arrays can be initialized statically during declaration or dynamically during program execution. Elements in an array are accessed using indexes. Example programs demonstrate declaring and processing one-dimensional arrays, including finding the average of student marks and searching for an element. Binary search and bubble sort algorithms for arrays are also explained with code examples.
The document compares linear and non-linear data structures. Linear data structures have elements arranged sequentially that can each be accessed through a single traversal, while non-linear structures have hierarchical elements at multiple levels that require multiple traversals. Linear structures are easier to implement and traverse but use memory less efficiently, while non-linear structures use memory more efficiently but are more complex. Common examples of linear and non-linear structures provided are arrays/lists and graphs/trees respectively.
The document provides information about stacks and their implementation and applications. It discusses representing stacks using static and dynamic arrays. It describes basic stack operations like push, pop, peek, isEmpty and size. It discusses multiple stack implementation using a single array and provides pseudocode. It also discusses applications of stacks like reversing a list, calculating factorials recursively, infix to postfix conversion, evaluating arithmetic expressions and the Towers of Hanoi problem.
The document discusses arrays in C programming language. It defines an array as a collection of items stored at contiguous memory locations that can be accessed randomly using indices. Arrays allow storing homogeneous data in an organized linear structure. The key points covered include: declaration and initialization of arrays; accessing array elements; advantages like easy traversal and sorting; disadvantages like fixed size; and examples of one-dimensional and two-dimensional arrays. Common array operations like searching, sorting and traversal algorithms are also explained.
The document defines and describes different types of arrays in C programming. It states that arrays can hold multiple values of the same data type and are used to store data in linear or tabular form. The key types discussed are one-dimensional, two-dimensional, and multi-dimensional arrays. It provides examples and explains how to declare, initialize, search and sort each array type.
Unit – VIII discusses searching and hashing techniques. It describes linear and binary searching algorithms. Linear search has O(n) time complexity while binary search has O(log n) time complexity for sorted arrays. Hashing is also introduced as a technique to allow O(1) access time by mapping keys to array indices via a hash function. Separate chaining and open addressing like linear probing and quadratic probing are described as methods to handle collisions during hashing.
Arrays allow storing and manipulating a collection of related data elements. They can hold groups of integers, characters, or other data types. Declaring individual variables becomes difficult when storing many elements, so arrays provide an efficient solution. Arrays are declared with a datatype and size, and elements can be initialized, accessed, inserted, deleted, and manipulated using their index positions. Common array operations include displaying values, finding maximum/minimum values, calculating sums, and passing arrays to functions. Multi-dimensional arrays extend the concept to store elements in a table structure accessed by row and column indexes.
Queue is a first-in, first-out (FIFO) data structure. It can be implemented using arrays or linked lists. The key operations are enqueue to add an item to the rear and dequeue to remove an item from the front. When using an array to implement a queue, a front and rear pointer track the first and last elements. Items are added by incrementing rear and removed by incrementing front. A circular queue solves the problem of overflow by treating the array as a circular structure.
Arrays allow the storage of multiple values of the same type in memory locations next to each other. Arrays must be declared with a size and can then be accessed using indexes. Common array operations include traversal, insertion, deletion, searching and sorting. Two-dimensional arrays, also called matrices, store arrays of data in rows and columns. Strings in C are arrays of characters that end with a null terminator. Structures allow the grouping of different data types under one name. Enumerated types define a list of named integer constants.
Linear data structures include arrays, strings, stacks, queues, and lists. Arrays store elements contiguously in memory, allowing efficient random access. Linked lists store elements non-contiguously, with each element containing a data field and pointer to the next element. This allows dynamic sizes but less efficient random access. Linear data structures are ordered, with each element having a single predecessor and successor except for the first and last elements.
The document discusses different types of arrays. An array is a collection of consecutive memory locations with the same name and data type. Arrays allow storing multiple values under a single name. The key types are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be visualized as a table with rows and columns. The document also covers array initialization, accessing elements, searching, sorting, and provides examples of one-dimensional and two-dimensional arrays.
This document discusses arrays and pointers in C programming. It begins by defining an array as a collection of homogeneous data elements stored sequentially in memory. One-dimensional and multi-dimensional arrays are described. The document provides examples of declaring, initializing, accessing, and manipulating array elements, including passing arrays to functions and returning arrays from functions. It also covers pointers and their use in relation to arrays.
An Introduction to Programming in Java: ArraysMartin Chapman
An Introduction to Programming in Java: Arrays. Last delivered in 2012. All educational material listed or linked to on these pages in relation to King's College London may be provided for reference only, and therefore does not necessarily reflect the current course content.
This document provides an overview of Java arrays, strings, and collections. It discusses single and multi-dimensional arrays, parsing command line arguments, and the advantages and disadvantages of arrays. It also covers the ArrayList class, iterating with iterators and list iterators, and common collection methods. Finally, it summarizes working with dates, the String class, and StringBuilder.
The document discusses data structures and introduces common data structures like stacks and queues. It explains that stacks follow LIFO order and have push and pop operations, while queues follow FIFO order and have enqueue and dequeue operations. Array-based and linked list implementations of stacks and queues are described, with their time and space complexities analyzed. Exceptions for invalid operations like popping an empty stack are also covered.
The document discusses arrays in Java. It begins by defining what an array is - a structured data type that stores a fixed number of elements of the same type. It then covers how to declare and initialize one-dimensional arrays, manipulate array elements using loops and indexes, and how to pass arrays as parameters to methods. The document also discusses arrays of objects and multidimensional arrays.
This document provides an overview of a course on data structures and applications. The course covers fundamental data structures like arrays, stacks, queues, linked lists, trees, graphs, and hashing. It aims to teach how to represent data structures linearly, design solutions to problems using various data structures, and apply hashing techniques. The modules cover introduction to data structures and arrays, stacks and queues, linked lists, trees, and graphs and hashing.
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1. The standard library (stdlib.h) contains commonly used functions like abs(), rand(), exit(), and functions for dynamic memory allocation.
2. The time library (time.h) contains functions that work with time values like time() and clock(). It defines time_t and clock_t data types.
3. The math library (math.h) contains common mathematical functions like sqrt(), pow(), log(), and trigonometric functions. It also defines mathematical constants.
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The document provides examples of functions from each
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Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
The Evolution and Impact of OTT Platforms: A Deep Dive into the Future of Ent...ABHILASH DUTTA
This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
2. Objectives
• How to manage a group of data?
• Store
• Input
• Output
• Search
• Sort
3. Contents
• Introduction to
contiguous storage
• Arrays
• One-dimensional Arrays
• Declaration
• Memory Allocation
• Initialization
• Accessing elements
• Traversing
• 1-D Arrays are
parameters of
functions
• Searching
• Sorting
• 2-D Arrays
3
4. Contiguous Storage
• Commonly, a group of the same meaning elements are considered.
• They are stored in a contiguous block of memory.
• Ex: Group of 10 int numbers ➔ 40 bytes block is needed.
• Data are considered can be a group of some items which belong to some
different data types → Contiguous memory block is partitioned into some
parts which have different size, one part for an item.
• Data structure: A structure of data stored.
• Array is the simplest data structure which contains some items which
belong to the same data type.
• Common used operations on a group: Add, Search, Remove, Update, Sort
4
Contiguous Storage
5. Arrays
• Array: A group
of elements
which belong
to the same
data type.
• Each element
is identified by
it’s position
(index).
• Dimension: Direction that is used to perform an action on array.
• Number of dimensions: Number of indexes are used to specify
an element.
• Common arrays: 1-D and 2-D arrays.
• Name of an array: An array has it’s name.
5 4 8 15 90 27 34 21 152 80
a
(array)
a[3]
element
0 1 2 3 4 5 6 7 8 9
index
a[i] is an integer
m
row
column
m[1][3]
5
Contiguous Storage
6. One Dimensional (1-D)Arrays
• 1-D array: a collection of items (elements, terms) which
belong to the same data type and are stored contiguously in
memory.
→Each element is identified by a unique index of it’s position
in the array (an integer from 0).
5 4 8 15 90 27 34 21 152 80
a
(array)
a[3]
element
0 1 2 3 4 5 6 7 8 9
index
a[i] is an integer
6
Contiguous Storage
7. 1-D Arrays: Declaration
• If the array is stored in the stack segment → Use a STATIC array
→ The compiler will determine the array’s storage at compile-
time.
• If the array is stored in the heap → Use a pointer (DYNAMIC
array) → The array’s storage will be allocated in the heap at run-
time through memory allocating functions (malloc, calloc,
realloc)
DataType ArrayName[NumberOfElements] ;
Examples:
int a1[5];
char s[12];
double a3[100];
How compilers can determine the
memory size of an array?
NumberOfElements *
sizeof(dataType)
➔ int a1[5] → 5 *sizeof(int) = 5*4 =
20 bytes
float *a;
a = (float*)calloc (10, sizeof(float)); /* allocate a block of 10 float numbers */
7
Contiguous Storage
8. 1-D Arrays: Memory Allocation 20
4202496
code
4199056
20
bytes
a1:
2293584
80
bytes
407249
6
Data segment
Code segment
Stack segment
Heap
4072496
a2:2293580
The name of the array is the
address of the first element.
8
Contiguous Storage
9. 1-D Arrays:
Initialization & Accessing Elements
Initialize an array:
DataType a[] = {val1, val2, … };
How to access the ith element of the
array a?
• a is the address of the first element.
Based on operation on pointers:
→ a+i : address of the ith element,
another way: &a[i]
→*(a+i): value of the ith element,
→ popular way: a[i]
9
Contiguous Storage
10. Compiler will
automatically count
number of initial values
to determine the size
of array memory
The size of array
memory is pre-
defined.
Compiler will fill 0 to
elements which are
not initialized.
int a[5];
Elements contain
un-predictable
values because they
are local variables.
TEST IT !!!! 10
Contiguous Storage
1-D Arrays: Init. & Accessing…
11. 1-D Arrays: Traversing
• A way to visit each element of an array
• Suppose that the 1-D array, named a, containingn elements.
• Forward traversal:
int i;
for (i=0; i<n; i++)
{ [if (condition)] Accessa[i];
}
• Backward traversal:
int i;
for (i=n-1; i >=0; i--)
{ [if (condition)] Access a[i];
}
Contiguous Storage 11
12. Array Function Parameter: Demo 1.
• For a parameter of an array type, the value
of the parameter contains a reference to an
array; this reference is passed to the
method. Any changes to the array that
occur inside the method body will affect the
original array that was passed as the
argument.
• Input an array of n integers: void input (int*
a, int n)
• Input elements of an array of integers
which it’s number of element is stored at
the pointer pn: void input (int a[], int*pn)
• Output an array of n double numbers:
• void output (double a[], int n)
• Calculate the sum of an array of n integers:
int sum (int *a, int n)
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Contiguous Storage
13. Array Function Parameter: Demo 1.
• Develop a C-program that will:
• Accept values to an integer array that may contain 100 elements.
• Print out the it’s maximum value.
• Print out it’s elements.
• Print out it’s even values.
• Nouns:
– Constant: MAXN=100
–Static array of integers
→ int a[MAXN]
–Real number of
elements → int n
–Maximum value
→ int maxVal.
• Verbs:
-Begin
-Input n (one value)
-Input a, n (function)
- maxVal = get maximum value in a, n
(function)
- Print out maxVal (one value)
- Print out a, n (function)
- Print even values in a, n (function)
- End
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Contiguous Storage
16. When using a dynamic array?
• Comments
• If you allocate an array having 100 elements but 6 elements are
used then memory is wasted.
• If If you allocate an array having 100 elements but 101
elements are used then there is a lack of memory.
• Solution: Use a dynamic array.
16
Contiguous Storage
19. Array Function Parameter: Demo 2.
• Develop a C-program that will:
-Accept values to an integer array that may contains 100
elements. The input will terminate when user enters the
value of zero.
- Print out the it’s maximum value.
- Print out it’s elements.
- Print out it’s even values.
The difference between this problem with the previous one is the input
operation can terminate abruptly when 0 is accepted.
➔Memory block of the array needs to be allocated in excess
➔The function for input values of the array must be modified for this case and
the number of elements is updated after each valid value is accepted.
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Contiguous Storage
22. 1-D Arrays: Searching
• A search algorithm finds the record of interest
using the key array
• Return value: The positional index at which the
interest value is found.
• Two common search algorithms are
• Linear search
• find whether a given number is present in
an array and if it is present then at what
location it occurs.
• binary search
• Search a sorted array by repeatedly
dividing the search interval in half.
• If the value of the search key is less than
the item in the middle of the interval,
narrow the interval to the lower half.
Otherwise narrow it to the upper half.
• Repeatedly check until the value is found
or the interval is empty.
22
Contiguous Storage
24. 1-D Arrays: Searching…
• Linear search: Find the position of the value x in the array a
having n elements.
5 9 2 7 6 5 2 5
i=0 1 2 3 4
• Search the value of 6 in the array a having 8 items
5 9 2 7 6 5 2 5
i=0 1 2 3 4 5 6 7
• Search the value of 12 in the array a having 8 items
-1
There may be
n comparisons
performed.
24
Contiguous Storage
26. 1-D Arrays: Binary Searching…
Binary search
- Condition for
application: Values
in the array were
sorted.
return c (7)
i>j → return -1
26
Contiguous Storage
27. 1-D Arrays: Binary Searching…
No. of elements considered No. of comparisons
n= 2m 1
2m-1 1
2m-2 1
… …
20 1
Sum m+1 = log2(n) +1
Evaluation:
27
Contiguous Storage
28. 1-D Arrays: Sorting
• Sorting: Changing positions of elements in an array so that
values are in a order based on a pre-defined order relation.
• Default order relation in set of numbers: Value order
• Default order relation in a set of characters/ strings:
Dictionary order
• Only two sorting algorithms are introduced here.
• Selection Sort
• Bubble Sort
28
Contiguous Storage
29. 1-D Arrays: Selection Sort
• Find the minimum value in the list
• Swap it with the value in the first position
• Repeat the steps above for remainder of the list
29
Contiguous Storage
31. 1-D Arrays: Bubble Sort
•It works by
repeatedly
stepping through
the list to be
sorted,
comparing two
items at a time
and swapping
them if they are
in the wrong
order.
•The pass
through the list is
repeated until no
swaps are
needed, which
means the list is
sorted
31
Contiguous Storage
33. 1-D Arrays: A Sample
• Develop a C-program that helps user managing an 1-D array of
integers (maximum of 100 elements) using the following simple
menu:
• 1- Add a value
• 2- Search a value
• 3- Remove the first existence of a value
• 4- Remove all existences of a value
• 5- Print out the array
• 6- Print out the array in ascending order (positions of elements
are preserved)
• 7- Print out the array in descending order (positions of elements
are preserved)
• Others- Quit
33
Contiguous Storage
34. 1-D Arrays: A Sample…
• In this program, user can freely add or remove one or more elements to/
from the array. So, an extra memory allocation is needed (100 items).
• Data:
Array of integers → int a[100], n
searched/added/removed number → int value
• Functions:
• int menu() → Get user choice
• int isFull(int *a, int n) - Testing whether an array is full or not
• int isEmpty(int *a, int n) - Testing whether an array is empty or not
• void add(int x, int*a, int*pn) → adding an element to the array will
increase number of elements
• int search(int x, int *a, int n) → return a position found in the array
• int removeOne (int pos, int*a, int*pn) → Removing a value at the
position pos will decrease number of elements → return 1:
successfully, 0: fail
• int remove All(int x, int*a, int*pn) → Removing a value will decrease
number of elements → return 1: successfully, 0: fail
• void printAsc(int*a, int n) – printing array, elements are preserved
• void printDesc(int*a, int n) – printing array, elements are preserved
• void print(int*a, int n) 34
Contiguous Storage
35. 1-D Arrays: A Sample…
After values 0 , 2, 8, 9, 7, 3, 2, 4, 2 are
added. Use menu 5 to view them.
Search option Remove one option
35
Contiguous Storage
36. 1-D Arrays: A Sample…
Remove all option
Print out in ascending order
(elements are preserved)
Print out in descending order
(elements are preserved)
36
Contiguous Storage
45. Two-Dimensional Arrays
• A group of elements which belong the same data type and
they are divided into some rows and some column (it is
called as matrix also).
• Each element is identified by two indexes (index of row,
index of column).
m
row
column
m[1][3]
Traversing a matrix:
for ( i =0; i<row; i++)
{ for ( j=0; j< column; j++)
[if (condition)] Access m[i][j];
}
The next slide
will
demonstrate
how static
and dynamic
2-D arrays are
stored.
45
Contiguous Storage
46. 2-D Arrays: Memory Structure
4078616
2293488
2293492
2293496
2293500
2293504
2293508
2293512
2293520
2293524
2293528
2293532
2293516
2293596
4078824
4078784
4078744
4078720
2293600
p
m1
m2
4078752
4078760
4078768
4078784
4078792
4078800
4078808
4078832
4078840
4078848
4078824
4078744
4078720
4078616
H
E
A
P
S
T
A
C
K
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Contiguous Storage
47. Static 2-D Arrays Demo.
Accept a matrix maximum 20x20.
Print out maximum value in it, print out the matrix.
Keep in your mind the way to
specify a matrix as a parameter
of a function ( the number of
column must be pre-defined.).
47
Contiguous Storage
49. Summary
• Array is the simplest data structure for a group of elements which
belong to the same data type.
• Each element in an array is identified by one or more index
beginning from 0.
• Number of dimensions: Number of indexes are used to identify an
element.
• Static arrays → Stack segment
Type a[MAXN];
Type m[MAXROW][MAXCOL];
• Dynamic array: Use pointer and allocate memory using functions
double *a = (double*)calloc(n, sizeof(double));
int** m = (int**) calloc(row, sizeof(int*));
for (i=0; i<row; i++) m[i]= (int*)calloc(col, sizeof(int));
49
Contiguous Storage
50. Summary
• Accessing elements in an array:
1-D Array (a) 2-D Array (m)
Address Value Address Value
&a[index] a[index] &m[i][j] m[i][j]
a+index *(a+index)
Compiler determines the address of an element:
a + index*sizeof(DataType) m + (i*NumCol + j)*sizeof(DataType)
• Common operations on
arrays:
• Add an element
• Search an element
• Remove an element
• Input
• Output
• Sort
• Base of algorithms on
arrays: Traversing
50
Contiguous Storage
51. Exercise- Do yourself
• Develop a C-program that helps user managing an 1-D array
of real numbers(maximum of 100 elements) using the
following simple menu:
• 1- Add a value
• 2- Search a value
• 3- Print out the array
• 4- Print out values in a range (minVal<=value<=maxVal,
minVal and maxVal are inputted)
• 5- Print out the array in ascending order (positions of
elements are preserved)
• Others- Quit
51
Contiguous Storage