#include<stdio.h>
#include<conio.h>
void main()
{
int a[6],i,data,pos;
clrscr();
printf("enter the element of the array");
for(i=0;i<6;i++)
{
scanf("%d",&a[i]);
}
printf("enter the data for search");
scanf("%d",&data);
for(i=0;i<6;i++)
{
if(a[i]==data)
{
pos=i+1;
break;} }
if(pos==i+1)
printf("position of the element is %d",pos);
else
printf("this is not element in this array ");
getch();
}
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#include<iostream>
#include<vector>
// returns the index of the given value, or -1 if it does not exist
int bin_search (int val, std::vector<int>& a, int min, int max)
{
// check range for validity
if (max<min)
return -1;
// locate mid-point of sub-array
int mid = min + (max-min) / 2;
// check for equality
if (a[mid] == val)
return mid;
// recurse with appropriate half of sub-array
return val < a[mid] ? bin_search (val, a, min, mid-1) : bin_search (val, a, mid+1, max);
}
// Initiate a binary search. Returns -1 if the value does not exist, otherwise
// returns the index of the given value.
int bin_search(int val, std::vector<int>& a)
{
return bin_search (val, a, 0, a.size()-1);
}
int main()
{
std::vector<int> a = {0, 2, 4, 6, 8, 10, 12, 14, 16, 18};
for (int val=0; val<20; ++val)
{
int i = bin_search (val, a);
if (i==-1)
std::cout << "The value " << val << " does not exist in the array\n";
else
std::cout << "The value " << val << " exists in the array at index " << i << '\n';
}
std::cout << std::endl;
}
Binary Search Algorithm
By using Depth First Search or Breadth First search Tree traversal algorithm we can print data in Binary search tree.
binary search system
half means 1/2 from the whole (previous), which means 2 of 1/2, and 2 derived into binary. Ha, Binary Search is the term.
A binary search on a random-access file is performed much in the same way as a binary search in memory is performed, with the exception that instead of pointers to items in memory file seek operations are used to locate individual items within the file, then load into memory for further examination. The key aspects of the binary search algorithm do not depend on the specifics of the set of searchable items: the set is expected to be sorted, and it must be possible to determine an order between any two items A and B. Finally, the binary search algorithm requires that the set of searchable items is finite in size, and of a known size.
Binary Search Algorithm
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By using Depth First Search or Breadth First search Tree traversal algorithm we can print data in Binary search tree.
One can perform a binary search easily in many different ways. One can perform a binary search by using an algorithm specifically designed to test the input key value with the value of the middle element.
A C++ implementation of the Binary GCD (Stern's) algorithm is shown in the Related Link below.
binary search system
half means 1/2 from the whole (previous), which means 2 of 1/2, and 2 derived into binary. Ha, Binary Search is the term.
A binary search on a random-access file is performed much in the same way as a binary search in memory is performed, with the exception that instead of pointers to items in memory file seek operations are used to locate individual items within the file, then load into memory for further examination. The key aspects of the binary search algorithm do not depend on the specifics of the set of searchable items: the set is expected to be sorted, and it must be possible to determine an order between any two items A and B. Finally, the binary search algorithm requires that the set of searchable items is finite in size, and of a known size.
To search a particular element from the vector, use the find() algorithm. If the vector is sorted, you can use the binary_search() algorithm to improve efficiency. Both algorithms can be found in the <algorithm> header in the C++ standard library.
The complexity of the binary search algorithm is log(n)...If you have n items to search, you iteratively pick the middle item and compare it to the search term. Based on that comparision, you then halve the search space and try again. The number of times that you can halve the search space is the same as log2n. This is why we say that binary search is complexity log(n).We drop the base 2, on the assumption that all methods will have a similar base, and we are really just comparing on the same basis, i.e. apples against apples, so to speak.
Hi, I hope this is useful http://www.indiastudychannel.com/projects/2748-Assembly-language-program-for-Binary-search.aspx good luck!