1D Array

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Array
Areas Covered on:

1- D ARRAY
. Definition of 1-D
array.

Implementation of 1-D
array

Basic operations of 1-D
array

Insertion & Deletion

. Searching

Sorting

. Merging

1-D Array Definations:
One dimensional array comprise of finite homogeneous elements represented as:
Array name [Lower bound L, Upper bound U] ranges from L through U.

To calculate array size (length) =U-L+1
Ex: Ar [-9, 15]
Size=15-(-9) +1=23

Implementation of 1-D array:

It is done to calculate address of any element in an array.
Address of element with subscript I=Base address +ES (I-L)
Where ES is size of an array element
L is the lower bound of the array.

Prepared By Sumit Kumar Gupta, PGT Computer Science

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Basic operations of 1-D array:--1. Insertion & Deletion
2. Searching
3. Sorting
4. Merging

Insertion: placing of new element within the existing array.
Insertion is done in two ways:
i) If the array is unordered, placing the new element at the end of the array.
ii)if the array is sorted then new element is added at appropriate position.

Algorithm:
1.ctr=L
2.If LST=U then
{
Print “Overflow:”
Exit from program
}
3. if AR[ctr]>ITEM then
Pos=1
Else
{
4. Repeat steps 5 and 6 until ctr>=U
5. if AR[ctr]<=ITEM and ITEM<=AR[ctr+1] then
{ Pos=ctr+1
Break
}
6. ctr=ctr+1
/*end of repeat here*/
7. if ctr=U then
Pos=U+1
}
/*end of if step 3 */
/* shift the element to create space*/
8. ctr=U
9.while ctr>=pos perform steps 10 through 11
10.AR[ctr+1]=AR[ctr]


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11.ctr=ctr=ctr-1
}
12. AR[pos]=ITEM
13. END

Using Function:
int FindPos(int AR[],int size,int item) /*to determine the position for element
{
int pos;
if(item<AR[0]) pos=0;
else
{
for(int i=0;i<size-1;i++)
{
if(AR[i]<=item && item <AR[i+1]
{
Pos=i+1;
Break;
}
if(i==size-1) pos=size;
}
return pos;
}
Deletion:
To delete an element from existing array.
Algorithm:
/*considering that Item’s search in array AR is successful at location pos*/
Two cases arises:
Case1: Shifting Upward or left side
1. ctr=pos
2. Repeat steps 3 and 4 until ctr>=U
3. AR [ctr] =AR [ctr-1]
4. ctr=ctr+1


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/*end of repeat*/
Case II: shifting downwards (or in right side)
1. Ctr=pos
2. Repeat steps 3 and 4 until Ctr<=L
3.AR[ctr]=AR[ctr-1]
4.ctr=ctr-1
/*End of Repeat*/
Searching:

Linear search:
Linear search method is used to scan the array in a sequential
manner.Under this method the whole array is searched one by one until the
matching element is obtained .
Note: Linear search is done in Unordered array.
Algorithm:
/*Initialise counter by assigning lower bound value of the array*/
Step1:Set ctr=L

(Lower bound=0 in c++)

/*Now search for the ITEM*/
Step2: Repeat steps 3 through 4 until ctr>U //Upper Bound(U) is size-1
Step3: if AR [ctr]==ITEM then
{
Print “search Successful”
Print ctr,”is the location of”,ITEM
Break
}
Step 4: ctr=ctr+1
/*End of repeat*/
Step 5 if ctr>U then
Print “search Unsuccessful!”
Step 6 END

Using Function:
Int LSearch(int AR[],int size,int item)
{
For(int i=0;i<size;i++)
{


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If(AR[i]==item)
return i;
}
return -1;
}

Binary search:
Steps:To search for ITEM in sorted array (in ascending order)
1. ITEM is compared with middle element of the segment(i.e,in the entire
array for the first time).
2.If the ITEM is more than the middle element ,latter part of the segment
becomes new segment to be scanned.
3.The same process is repeated for the new segment(s) until the item is
found(search successful) or the segment is reduced to the single element and
the ITEM is not found(search Unsuccessful).
Condition: Array should be in sorted manner
Using Function:
int Bsearch(int AR[10], int I, int N)
{
int beg=0, last = N-1,Mid;
While(beg<=last)
{
Mid =(beg+last)/2;
If (AR[Mid]==I)
Return 1;
Else if (I > AR[Mid])
Beg=Mid+1;
Else
Last=Mid-1;
}
return 0;
}

Sorting:
Selection Sorting:
Steps:


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Pass-1 Find the location LOC of the smallest in the list of n elements.
a[1],a[2],……..a[n],then interchange a[loc]with a[1].
Pass-2 Find the location LOC and then interchanged a [LOC] and a [2].since
a[1]<=a[2]
Pass-3 Find the location LOC of the smallest in the sublist of n-2 elements.
a [3],a[4],……a[n], and then interchanged a[LOC] and a[3].Then
a[1],a[2]….a[3] is stored, since a[2]<=a[3]
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Pass N-1: Find the location LOC of the smallest of the elements a[n-],a[n] and
interchanged a[LOC] and a[n-1].Then:
a [1],a[2]….a[n] is strored, since a[n-1]<=a[n]
Thus a is sorted after n-1 passes
Algorithm:
1. small=AR[L]
2. For i=L to U do
{
3.
small=AR[i]
4.
for J=I to U do
{
5.
If AR[j]<small then
6.
{
Small==AR[j]
7.
Pos=j
}
j=j+1;
}

//In c++ ,0 to size-1

/*end of inner loop*/

/*swap the smallest element with ith element */
8. temp=AR[i]
9. AR[i]=small
10. AR[pos]=temp
}
11. END


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Using Function :
Void SelSort(int AR[],int size)
{
int small, pos,tmp;
for(int i=0;i<size;i++)
{
small=AR[i];
for(int j=i+1;j<size;j++)
{
if(AR[j]<small)
{
small=AR[j];
pos=j;
}
}
tmp=AR[i];
AR[i]=AR[pos];
AR[pos]=tmp;
cout<<”n Array after pass –“<<i+1<<”—is :”;
for(j=0;j<size;j++)
cout<<AR[j]<<””;
}
}

Bubble Sort

The basic idea of bubble sort is to compare two adjoining values and exchange them
if they are not in proper order.
Algorithm:
1. For I=L to U
2. {
For j=to [(U-1)-I]
{


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3.

If AR[j]>AR[j+1] then
{
temp=AR[j]
AR[j]=AR[j+1]
AR[j+1]=temp
}

4.
5.
6.
}
}
7.

END

Using Function

Void BubbleSort(int AR[],int size)
{
int tmp,ctr=0;
for(int i=0;i<size;i++)
{
for (int j=0;j<(size-1)-i;j++)
{
if(AR[j]<AR[j+1])
{
tmp=AR[j];
AR[j]=Ar[j+1];
AR[j+1]=tmp;
}
}
cout<<”Array after iteration—“<<++ctr<<”--: “;
for(int k=0;k<size;k++)
cout<<AR[k]<<””;
cout<<endl
}
}

Insertion sorting:
Condition: Introduce a sentinel element A [0] = - ∞ (or a very small number)
An insertion sort is one that sorts a set of values by inserting values into an
existing sorted file.


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The insertion sort algorithm scans array a from a[1] to a[n], inserting each
element
A[k] into its proper position on the previously sorted subarray a [1],a [2]...a [k1].

Using Function:
Void InsSort (int AR [], int size)
{
int tmp,j;
AR [0] =INT_MIN;
for (int i=1;i<=size;i++)
{
tmp=AR[i];
j=i-1;
while(tmp<AR[j])
{
AR[j+1]=AR[j];
j--;
}
AR[j+1]=tmp;
cout<<”Array after iteration—“<<++ctr<<”--: “;
for (int k=0;k<size;k++)
cout<<AR[k]<<””;
cout<<endl;
}
}

Merging:
Merging means combining elements of two arrays to form a new array.
Merging in array
/* Merging of two array A and B where A is in ascending order ,B is in ascending
order and resultant array C will be in Ascending
ctr A=L1
ctr B=L2
ctr C=L3
while (ctr A<=U1) &&( ctr B<=U2)
{
If(A[ctr A]<=B[ctr B]) then


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{
C[ctr C]=A[ctr A]
ctr C=ctr C + 1
ctr A=ctr A+1
}
else
{
C[ctr C]=B[ctr B]
ctr C=ctr C+1
ctr B=ctr B+1
}/*end of while loop
If(ctr A >U1) then
{
While(ctr B <=U2)
{
C[ctrC]=B[ctr B]
ctrC=ctrC+1
ctr B=ctr B+1
}
}
If(ctr B>U2) then
{
While (ctr A<=U1)
{
C[ctr C]=A[ctr A]
ctr C=ctr C+1
ctr A=ctr A+1
}
}
There are some other cases are also possible .These cases are taken place in
following situations:
1. When array A[n] is in Acsending order then its control variable ,say ctr A
,should be initialized with array’s lower bound ,which is 0(zero).And the test
condition will be ctr<n.
2. When an array ,say A[n] ,is in descending order,then its control variable ,say
ctr A ,should be initialized with array’s upper bound,which is n-1.


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Assuming length of array A is M and Length of array B is N-1 . Thus array A has
elements A[0] to A[N-1] and B has elements B[0] to B[N-1] .let the resultant array be
C with length 10.
CtrB=n-1 , ctrA=0 , ctrC=0
while (ctrC<5) do
{
C[ctrC]=A[ctrA]
ctrC=ctrC+1
ctrA=ctrA+1
}
while (ctrC<10) do
{ C[ctrC]=B[ctrB]
ctrC=ctrC+1
ctrB=ctrB-1
}
ctrC=0
while(ctrC<10) do
{
print C[ctrC]
ctrC= ctrC+1
}
END

Solved Examples:
Q.1 What do you understand by Data Structure. Describe about the types of data
structure
Ans A data Structure is a named group of data of different data types which can be
processed as single unit.
There are two types of data structure
a. Simple :- i. Array ii. Structure
b. Complex
i. Linear :- i.Stack ii. Queue iii. Linked-list
ii. Non-Linear : Tree
Q.2What will be the address of 5th element in a floating point array implemented in
C++?The array is specified as amount[16].the base address of the array is 1058.
Ans) Standard size of floating-point array=4 bytes
5th element in the array Amount is specified as Amount[4] as the index numbers
in c++ starts from 0.
Address of Amount[4]=base address +es(I-L)
L=0


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Es=4
Base Address=1058
Putting all these values,
Address of Amount[4]=1058+4(4-0)=1074
Q.3 Suppose a one dimentional Array AR containing integers is arranged in
ascending order .Write a user defined function in C++ to search for one integer
from AR with the help of Binary Search Method , returning an integer 0 to show
absence of the number and 1 to show the presence of the number in the array. The
function should have three parameters (1. an array AR 2. the number to be
searched 3. the number of elements N)
Ans. Int Bsearch(int AR[10], int I, int N)
{
int beg=0, last = N-1,Mid;
While(beg<=last)
{
Mid =(beg+last)/2;
If (AR[Mid]==I)
Return 1;
Else if (I > AR[Mid])
Beg=Mid+1;
Else
Last=Mid-1;
}
return 0;
}

Practice also For Descending order
Q.4 Write a function in C++ which accepts an integer array and its size as
arguments and exchange the values of first half side element with the second half
elements of the array. Example if an array of 10 elements has initial content
12,15,45,23,34,43,77,46,35,47
The resultant array should be like this 43,77,46,35,47,12,15,45,23,34
Ans void swap( int A[ ] ,int size)
{
int I,j,temp,mid=size/2;
if (size %2 = = 0)
j=mid ;
else
j=mid+1;
for(i=0;i<mid;i++,j++)
{
temp= A[i];


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A[i]=A[j];
A[j]=temp;
}
}
5. Write an Algorithm for Selection Sort .
Ans :
1. small=AR[L]
2. for i= L to U loop
3. { small = AR[i]
4. for j = I to U
do
5. { if AR[j] < small then
6. { small = AR[j]
7. pos = j
}
8. j = j + 1
}
9. temp = AR[i]
10. AR[i] = small
11. AR[pos] = temp
}
12. end
Q.6 An algorithm requires two stacks of size M and N that are to be
maintained in the memory .Illustrate with an example how will you adjust two
stacks in one dimensional array with M+N memory locations so that the overflow
condition is minimized .
Ans . let us say that the stack A is with size M and Stack B with size N
If the stack A is stored in locations 0 to M-1 and the stack B is stored in locations
M to M+N-1 ,the separate areas for the two are ensured .in the beginning the tops of the
stacks are at opposite ends . when Top A reaches at M-1 , any further insertion will lead
to overflow in stack A and when Top B reaches at M. any further insertion in stack B will
lead to overflow.
Q.7 Given two arrays A and B ,copy last five element of B after first five element of
A to create another array C. Assume length of A and B is greater than 5.(Merge
Sort)
Ans Assuming length of array A is M and Length of array B is N-1 . thus array A has
elements A[0] to A[N-1] and B has elements B[0] to B[N-1] .let the resultant array be C
with length 10.
ctrB=n-1 , ctrA=0 , ctrC=0
while (ctrC<5) do
{ C[ctrC]=A[ctrA]
ctrC=ctrC+1
ctrA=ctrA+1
}
while (ctrC<10) do
{ C[ctrC]=B[ctrB]
ctrC=ctrC+1


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ctrB=ctrB-1
}
ctrC=0
while(ctrC<10) do
{
print C[ctrC]
ctrC= ctrC+1
}
END

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