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66 changes: 66 additions & 0 deletions N-th_Fibonacci/Fibonacci.java
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import java.util.Scanner;

public class Fibonacci
{
double f=0;
double mem[]=new double[1001];
public static void main(String args[])
{
Scanner scanner=new Scanner(System.in);
int n =scanner.nextInt();
System.out.println(n+"-th Fibonacci number is: "+new Fibonacci().fibo2(n));
scanner.close();
}
public double fibo2(int n)
{
for(int k=1;k<=n;k++)
{
if(k<=2)
f=1;
else
f=mem[k-1]+mem[k-2];
mem[k]=f;
}
return mem[n];

}
}













/*
* public double fibo(int n)
{
if(n<=2)
f=1;
else
f=fibo(n-1)+fibo(n-2);
return f;

}

public double fibo1(int n)
{
if(mem[n]!=0)
f=mem[n];
else if(n<=2)
f=1;
else
f=fibo1(n-1)+fibo1(n-2);
mem[n]=f;
return f;

}
*/
7 changes: 7 additions & 0 deletions N-th_Fibonacci/Readme.md
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# Readme

***n-th Fibonacci using memoization***

Finding the n-th fibonacci number using normal recursive algorithm has a time complexity of O(2^n).
Here we use a Dynamic Programming approach called Memoization. The answers to subproblems are stored in an array and thereby reducing the number of computations drastically. This Algorithm runs in the order of O(n).