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Linear Data Structures • Arrays • Strings • Structures • Stacks • Queues • Link List (Logically Linear)

02 Arrays And Memory Mapping

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Page 1: 02 Arrays And Memory Mapping

Linear Data Structures

• Arrays

• Strings

• Structures

• Stacks

• Queues

• Link List (Logically Linear)

Page 2: 02 Arrays And Memory Mapping

Representation of Single Dimensional Arrays

• Dimension ?• Whole array is stored in a single contiguous

memory block.

• Address of the first element is called the base address and it is also the start address of array.

• The address of the ith element is given by the following formula:Addressi = base_address + i * size_of_element

• Arrays are very efficient way of organizing data since accessing array elements requires O(1).

elemn-1…elemi…elem2

elem1

elem0

Page 3: 02 Arrays And Memory Mapping

float sum (float *list, int n){float temp = 0;int i;for (i = 0; i < n; i++)

temp = temp + *(list + i);return temp;

}

float sum (float list[], int n){float temp = 0;int i;for (i = 0; i < n; i++)temp = temp + list[i]);

return temp;}

Page 4: 02 Arrays And Memory Mapping

Representation of Two Dimensional Array

• Can be called Table

• Needs two dimensions

• - One for Rows

• - Other for columns

• Two representations– Row Major– Column Major

Page 5: 02 Arrays And Memory Mapping

Representations of Table

• Row Major ( First subscript changes least frequently and last subscript changes most frequently)

• (i,j)th element = Base Address + (i * N + j) * size of array

• Column Major ( Last subscript changes least frequently and first subscript changes more frequently)

• (i,j)th element = Base Address + (j * M + i) * size of array

Page 6: 02 Arrays And Memory Mapping

void add (int a[][], int b[][],

int c[][],

int rows, int cols)

{

int i, j;

for (i=0; i<rows; i++)

for (j=0; j<cols; j++)

c[i][j] = a[i][j] + b[i][j];

}

What’s wrong?

Page 7: 02 Arrays And Memory Mapping

const int N = 100;void add (int a[][N], int b[][N],

int c[][N], int rows, int cols)

{int i, j;for (i=0; i<rows; i++)for (j=0; j<cols; j++)c[i][j] = a[i][j] + b[i][j];

}

Why?

Page 8: 02 Arrays And Memory Mapping

Two Dimensional Array

543451060

99827622

643823

6351

User’s view (abstraction)

543451060998276226438236351

System’s view (implementation)

Offset of a[i][j]?

Page 9: 02 Arrays And Memory Mapping

Two Dimensional Array

543451060

99827622

643823

6351

User’s view (abstraction)

Offset of a[i][j]?Number of elements in each row?

ith row

total elements in the previous rows?

jth element in ith row

Offset (in units)

N

i * N

i * N + j

The addressing formula needs to know the number of columns but does not need the number of rows!

Page 10: 02 Arrays And Memory Mapping

• Row major – C, Pascal, C++, etc.

• Column Major – FORTRAN• Ada - indefinite

Two Dimensional Array

Page 11: 02 Arrays And Memory Mapping

• Row Major – Slice along the 1st dimension to

get an array of N-1 dimensions– Continue until you are left with

one dimension only.

– Offset of a[d0] [d1] …[dn-1]

Multi-Dimensional Arrays

A[D0] [D1]…[Dn-1]

(…((d0*D1 + d1)*D2 + d2)*D3 + …) + dn-1

Page 12: 02 Arrays And Memory Mapping

Simple View

• General formula in Row Major

• A[s1,s2,s3,...sn] = Base Address + ((s1 *

D2*D

3*..D

n) + (s

2* D

3*D

4*..D

n) + (s

n-1*D

n) + S

n) *

Size of array

• General formula in Column Major

• A[s1,s2,s3,...sn] = Base Address + ((sn *

D1*D

2*..D

n-1) + (s

n-1* D

1*D

2*..D

n-2) + (s

2*D

1) + S

1)

* Size of array

Page 13: 02 Arrays And Memory Mapping

Special Matrices

• Symmetric

• Diagonal

• Triangular

• Sparse

• * make programs of all these properties

Page 14: 02 Arrays And Memory Mapping

Ordered Lists

• One of the most common data object is an ordered list.

• An ordered list has elements with definite ordering. The simplest example of an ordered list is an ordered pair which has only two elements.

• Examples of ordered lists:• Months of the years (Jan, Feb, Mar, Apr, May,

…., Dec)• English Alphabets (A, B, C, …, Z)• Words in a sentence (“This is a book on data

structures.”)• Names of the students in a class stored in the

order of their roll numbers.

Page 15: 02 Arrays And Memory Mapping

Operations Defined on an Ordered List

• Find the length of list.• Check if the list is empty.• Traverse the list in some order.• Get the ith elements in the list.• Change the value of the ith element.• Insert a new element at the ith position.• Delete the ith element.• *Make programs of all these properties

Page 16: 02 Arrays And Memory Mapping

Representation of an Ordered List

• The easiest way to represent an ordered list is by an one-dimensional array where we store the ith element of the list in the array element with index i.

• This is called sequential or linear mapping – mapping a one-dimensional vector onto a one-dimensional space.

Page 17: 02 Arrays And Memory Mapping

class LinearList {public:

LinearList(int s); // constructor~ LinearList () {delete [ ] ListArray; } // destructorbool add (int value);bool remove (int index);bool change(int index, int value);bool get(int index, int & value);void printAll();

bool isFull() {return size == maxSize ;}bool isEmpty() {return size == 0; }int length() {return size;}

private:int maxSize; // max List sizeint *ListArray;int size; // no. of elements in the List

void readjust(int index);void moveForward(int index);void moveBackward(int index);

};

Linear List Using Arrays

Page 18: 02 Arrays And Memory Mapping

LinearList :: LinearList(int s){

maxSize = s;ListArray = new int[maxSize];size = 0;

}

void LinearList :: printALL(){

for (i = 0; i < size; i++)cout << ListArray[i] << newline;

}

Page 19: 02 Arrays And Memory Mapping

bool LinearList :: get(int index, int & value) {if (index < size && index >= 0) {

value = ListArray[index];return true;

}else

return false;}

Page 20: 02 Arrays And Memory Mapping

bool LinearList::add(int value){

if (! isFull() ) { for (int i = size; i >= 1; i--) {

if (ListArray[i-1] > value)ListArray[i] = ListArray[i -1];

elsebreak;

}ListArray[i] = value;size++;return true;

}else return false;

}

Page 21: 02 Arrays And Memory Mapping

bool LinearList::remove(int index){

if (index < size && index >= 0) { for (int i = index; i < size - 1; i++)

ListArray[i] = ListArray[i +1];size--;return true;

}else return false;

}

Page 22: 02 Arrays And Memory Mapping

bool LinearList :: change(int index, int value) {if (index < size && index >= 0) {

ListArray[index] = value;readjust(index);return true;

}else

return false;}

void LinearList :: readjust(int index) {

if ((index < (size - 1)) && (ListArray[index] > ListArray[index + 1]))

moveForward(index);

else if ((index > 0) && (ListArray[index] < ListArray[index - 1]))

moveBackward(index);

}

Page 23: 02 Arrays And Memory Mapping

void LinearList :: moveForward(int index) {

int temp = ListArray[index];

int i = index;

while ((i < (size - 1)) && (ListArray[i] > ListArray[i + 1])) {

ListArray[i] = ListArray[i+1];

i = i + 1;

}

if (i != index)

ListArray[i] = temp;

}

void LinearList :: moveBackward(int index) {

int temp = ListArray[index];

int i = index;

while ((i > 0 ) && (ListArray[i] < ListArray[i - 1])) {

ListArray[i] = ListArray[i-1];

i = i - 1;

}

if (i != index)

ListArray[i] = temp;

}

Page 24: 02 Arrays And Memory Mapping

Assignment# 1 last date of submission : 02-09-2008 (Tuesday)

– Obtain an addressing formula for elements a[i,j] in the upper triangular matrix of order nxn. You can assume that this upper triangular is stored row by row

– Arrays - Read a matrix , find upper triangular matrix, find diagonal matrix, find determinant of a matrix

– Strings - Read a string , find the length of string, a particular

word, replace a particular word with new word. - Read an array of names of students and sort it.

– Structures - Make an array of structures (Roll-No, Name, Marks, Grade) , Display all records, find all the students with particular grade , find the record of a particular student, delete record of a particular student