Fibonacci
Calculate Fibonacci numbers efficiently using dynamic programming with memoization to avoid redundant calculations.
BeginnerTime: O(n)Space: O(n)
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## How Fibonacci with DP Works
The Fibonacci sequence is a classic example for demonstrating dynamic programming. Instead of redundant recursive calls, we store computed values.
### Algorithm Steps (Bottom-Up):
1. Initialize base cases: F(0) = 0, F(1) = 1
2. For each n from 2 to target:
- Calculate F(n) = F(n-1) + F(n-2)
- Store result in memoization table
3. Return F(target)
### Key Characteristics:
- **Memoization**: Store computed values to avoid recalculation
- **Optimal Substructure**: F(n) depends on F(n-1) and F(n-2)
- **Overlapping Subproblems**: Same subproblems solved multiple times in naive recursion
Time & Space Complexity
| Case | Time Complexity |
|---|---|
| Best | O(n) |
| Average | O(n) |
| Worst | O(n) |
| Space | O(n) |
Practice Problems
10 problems81 total points
1
Nth Fibonacci Number
Beginner5 pts
2
Climbing Stairs
Beginner5 pts
3
Tribonacci Number
Beginner5 pts
4
Min Cost Climbing Stairs
Intermediate8 pts
5
House Robber
Intermediate8 pts
6
House Robber II
Advanced10 pts
7
Decode Ways
Advanced10 pts
8
Perfect Squares
Advanced10 pts
9
Unique Binary Search Trees
Advanced10 pts
10
Knight Dialer
Advanced10 pts