The recursive definition of a Fibonacci Number is F(n) = F(n - 1) + F(n - 2), where F(0) = 1 and F(1) = 1. What is the value of Fib(3)?
We have F (n) = F (n - 1) + F (n - 2), where F (0) = 1 and F (1) = 1
Now, we need to find Fib (3) as per the above, F (3) can be written as
F (3) = F (3 – 1) + F (3 – 2)
Hence Fib (3) = 2
Program to test:
#include<iostream>
using namespace std;
int RecursiveFib(int);
int main()
{
int n, i = 0, count;
int fib=0;
//read number of terms to be printed in
fibonacci series
cout<<"\nEnter number: ";
cin>>n;
//call the recursive fibonacci function
for ( count = 1 ; count <= n ; count++
)
{
fib=fib+RecursiveFib(i);
//cout<<fib<<" ";
i++;
}
cout<<"\nFib("<<n<<") = "<<fib;
return 0;
}
//this is function that prints fibonacci series using recursive
method
int RecursiveFib(int n)
{
//here n is the number of terms
//if n is 0 return 0 and if n is 1 return 1
if (n == 0)
return 0;
else if ( n == 1 )
return 1;
else
//else call the function recursively by passing n-1 and n-2 as
parameters
return ( RecursiveFib(n-1) + RecursiveFib(n-2) );
}
Output:

The recursive definition of a Fibonacci Number is F(n) = F(n - 1) + F(n -...
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in C++
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The following
Implementation of the Fibonacci function is a
correct, but inefficient,
def fibonacci(n):
if n <= 2:
return 1
else:
return fib(n - 1) +
fib(n - 2)
In more details, the
code shown runs very slowly for even relatively small values of
n; it can take minutes or hours to compute even the 40th
or 50th Fibonacci number. The code is inefficient because it makes
too many recursive calls. It ends up recomputing each Fibonacci
number many times....
use Java please.
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