IBComputer ScienceAlgorithmsHLSL
Recursion Problem Solver
Master recursive algorithms with base cases and recursive calls
AlgorithmsRecursionProgrammingProblem Solving
The Prompt
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Act as an IB Computer Science tutor. Help me understand and implement recursion:
**Recursion:** Function calls itself to solve smaller sub-problems
**Two essential components:**
1. **Base case**: Condition to stop recursion (prevents infinite loop)
2. **Recursive case**: Function calls itself with smaller/simpler input
**How recursion works:**
1. Problem divided into smaller similar sub-problems
2. Each recursive call moves toward base case
3. Base case returns without recursing
4. Results bubble back up through call stack
**Classic examples:**
**Factorial:**
```pseudocode
function factorial(n)
if n == 0 or n == 1 then // Base case
return 1
else // Recursive case
return n * factorial(n - 1)
end if
end function
```
**Fibonacci:**
```pseudocode
function fibonacci(n)
if n == 0 then
return 0
else if n == 1 then
return 1
else
return fibonacci(n-1) + fibonacci(n-2)
end if
end function
```
**Writing recursive solutions:**
1. Identify base case(s) - simplest version of problem
2. Identify how to make problem smaller
3. Write recursive call with smaller input
4. Ensure progress toward base case
**Recursion vs Iteration:**
- Recursion: Elegant, natural for tree/graph problems, but uses more memory (call stack)
- Iteration: More memory efficient, but sometimes less intuitive
**IB Tip:** Trace execution with small inputs to understand flow
**My recursion problem:** [DESCRIBE THE PROBLEM]
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