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--- | ||
id: fibonacci-sum | ||
title: Fibonacci Sum (Geeks for Geeks) | ||
sidebar_label: 0004 - Fibonacci Sum | ||
tags: | ||
- intermediate | ||
- Fibonacci | ||
- Dynamic Programming | ||
- Mathematics | ||
- Algorithms | ||
--- | ||
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This tutorial contains a complete walk-through of the Fibonacci Sum problem from the Geeks for Geeks website. It features the implementation of the solution code in three programming languages: Python, C++, and Java. | ||
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## Problem Description | ||
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Given a positive number N, find the value of $f0 + f1 + f2 + ... + fN$ where fi indicates the ith Fibonacci number. Note that $f0 = 0, f1 = 1, f2 = 1, f3 = 2, f4 = 3, f5 = 5,$ and so on. Since the answer can be very large, return the result modulo $1000000007$. | ||
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## Examples | ||
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**Example 1:** | ||
``` | ||
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Input: | ||
N = 3 | ||
Output: | ||
4 | ||
Explanation: | ||
0 + 1 + 1 + 2 = 4 | ||
``` | ||
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**Example 2:** | ||
Vipullakum007 marked this conversation as resolved.
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``` | ||
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Input: | ||
N = 4 | ||
Output: | ||
7 | ||
Explanation: | ||
0 + 1 + 1 + 2 + 3 = 7 | ||
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``` | ||
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## Your Task | ||
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You don't need to read input or print anything. Your task is to complete the function `fibSum()` which takes an integer N as input parameter and returns the sum of all the Fibonacci numbers from f0 to fN. | ||
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Expected Time Complexity: $O(LogN)$ | ||
Expected Auxiliary Space: $O(1)$ | ||
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## Constraints | ||
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1. $1 \leq N \leq 100000$ | ||
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## Solution Approach | ||
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### Brute Force Approach | ||
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#### Intuition: | ||
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We can compute the sum of Fibonacci numbers from f0 to fN using a simple iterative method by adding up all Fibonacci numbers up to N. | ||
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#### Implementation: | ||
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1. Initialize `sum` to 0. | ||
2. Use a loop to compute Fibonacci numbers up to N. | ||
3. Add each Fibonacci number to `sum`. | ||
4. Return the sum modulo 1000000007. | ||
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#### Code (C++): | ||
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```cpp | ||
#include <iostream> | ||
#define MOD 1000000007 | ||
using namespace std; | ||
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class Solution { | ||
public: | ||
int fibSum(int N) { | ||
if (N == 0) return 0; | ||
long long f0 = 0, f1 = 1, sum = 1; | ||
for (int i = 2; i <= N; ++i) { | ||
long long f2 = (f0 + f1) % MOD; | ||
sum = (sum + f2) % MOD; | ||
f0 = f1; | ||
f1 = f2; | ||
} | ||
return sum; | ||
} | ||
}; | ||
``` | ||
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### Complexity | ||
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- Time Complexity: $O(N)$, as we are iterating from 0 to N. | ||
- Space Complexity: $O(1)$, as we are using a constant amount of extra space. | ||
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## Matrix Exponentiation Approach | ||
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#### Intuition: | ||
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To efficiently find the sum of the first N Fibonacci numbers, we use matrix exponentiation. By utilizing the transformation matrix and its properties, we can compute the required sum in logarithmic time. | ||
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#### Implementation: | ||
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1. Define a function to multiply two matrices. | ||
2. Define a function to compute the power of a matrix. | ||
3. Use the power function to compute the matrix exponentiation result. | ||
4. Extract the result from the matrix to get the sum of the first N Fibonacci numbers. | ||
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#### Code (C++): | ||
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```cpp | ||
#include <vector> | ||
using namespace std; | ||
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class Solution { | ||
public: | ||
const int mod = 1e9 + 7; | ||
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vector<vector<long long int>> multiply(vector<vector<long long int>>& a, vector<vector<long long int>>& b) { | ||
long long int n = a.size(); | ||
vector<vector<long long int>> ans(n, vector<long long int>(n, 0)); | ||
for (int i = 0; i < n; i++) { | ||
for (int j = 0; j < n; j++) { | ||
for (int k = 0; k < n; k++) { | ||
ans[i][j] = (ans[i][j] + (a[i][k] * b[k][j]) % mod) % mod; | ||
} | ||
} | ||
} | ||
return ans; | ||
} | ||
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vector<vector<long long int>> power(vector<vector<long long int>>& F, long long int n) { | ||
if (n == 0) { | ||
long long int s = F.size(); | ||
vector<vector<long long int>> ans(s, vector<long long int>(s, 0)); | ||
for (int i = 0; i < s; i++) { | ||
ans[i][i] = 1; | ||
} | ||
return ans; | ||
} | ||
if (n == 1) { | ||
return F; | ||
} | ||
vector<vector<long long int>> temp = power(F, n / 2); | ||
vector<vector<long long int>> ans = multiply(temp, temp); | ||
if (n % 2 != 0) { | ||
ans = multiply(ans, F); | ||
} | ||
return ans; | ||
} | ||
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long long int fibSum(long long int N) { | ||
vector<vector<long long int>> a = {{1, 1, 1}, {0, 1, 1}, {0, 1, 0}}; | ||
vector<vector<long long int>> ans = power(a, N); | ||
return ans[0][2]; | ||
} | ||
}; | ||
``` | ||
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#### Code (Python): | ||
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```python | ||
class Solution: | ||
MOD = int(1e9 + 7) | ||
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def multiply(self, a, b): | ||
n = len(a) | ||
ans = [[0] * n for _ in range(n)] | ||
for i in range(n): | ||
for j in range(n): | ||
for k in range(n): | ||
ans[i][j] = (ans[i][j] + a[i][k] * b[k][j]) % self.MOD | ||
return ans | ||
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def power(self, F, n): | ||
if n == 0: | ||
s = len(F) | ||
ans = [[0] * s for _ in range(s)] | ||
for i in range(s): | ||
ans[i][i] = 1 | ||
return ans | ||
if n == 1: | ||
return F | ||
temp = self.power(F, n // 2) | ||
ans = self.multiply(temp, temp) | ||
if n % 2 != 0: | ||
ans = self.multiply(ans, F) | ||
return ans | ||
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def fibSum(self, N): | ||
a = [[1, 1, 1], [0, 1, 1], [0, 1, 0]] | ||
ans = self.power(a, N) | ||
return ans[0][2] | ||
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# Example usage: | ||
solution = Solution() | ||
print(solution.fibSum(5)) # Output the sum of the first 5 Fibonacci numbers | ||
``` | ||
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#### Code (Java): | ||
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```java | ||
import java.util.Arrays; | ||
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class Solution { | ||
private static final int MOD = 1000000007; | ||
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private long[][] multiply(long[][] a, long[][] b) { | ||
int n = a.length; | ||
long[][] ans = new long[n][n]; | ||
for (int i = 0; i < n; i++) { | ||
for (int j = 0; j < n; j++) { | ||
for (int k = 0; k < n; k++) { | ||
ans[i][j] = (ans[i][j] + a[i][k] * b[k][j]) % MOD; | ||
} | ||
} | ||
} | ||
return ans; | ||
} | ||
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private long[][] power(long[][] F, long n) { | ||
int size = F.length; | ||
long[][] ans = new long[size][size]; | ||
for (int i = 0; i < size; i++) { | ||
ans[i][i] = 1; | ||
} | ||
if (n == 0) return ans; | ||
if (n == 1) return F; | ||
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long[][] temp = power(F, n / 2); | ||
ans = multiply(temp, temp); | ||
if (n % 2 != 0) { | ||
ans = multiply(ans, F); | ||
} | ||
return ans; | ||
} | ||
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public long fibSum(long N) { | ||
long[][] a = {{1, 1, 1}, {0, 1, 1}, {0, 1, 0}}; | ||
long[][] ans = power(a, N); | ||
return ans[0][2]; | ||
} | ||
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public static void main(String[] args) { | ||
Solution solution = new Solution(); | ||
System.out.println(solution.fibSum(5)); // Output the sum of the first 5 Fibonacci numbers | ||
} | ||
} | ||
``` | ||
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#### Complexity: | ||
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- Time Complexity: $O(logN)$, due to matrix exponentiation. | ||
- Space Complexity: $O(logN)$, for recursive stack | ||
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## Conclusion | ||
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The problem of finding the sum of the first N Fibonacci numbers can be efficiently solved using matrix exponentiation, reducing the time complexity to logarithmic time $O(\log N)$. This approach ensures that even for large values of N, the computation remains feasible and efficient. The provided implementations in C++, Java, and Python demonstrate the versatility of the matrix exponentiation technique across different programming languages. | ||
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By leveraging the properties of Fibonacci numbers and matrix multiplication, we can achieve optimal performance for this problem, making it suitable for large input sizes as specified in the constraints. | ||
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## References | ||
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- **GeeksforGeeks Problem:** [Geeks for Geeks Problem](https://www.geeksforgeeks.org/problems/fibonacci-sum/0) | ||
- **Solution Link:** [Fibonacci Sum on Geeks for Geeks](https://www.geeksforgeeks.org/problems/fibonacci-sum/0) | ||
- **Authors GeeksforGeeks Profile:** [Vipul](https://www.geeksforgeeks.org/user/lakumvipwjge/) | ||
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