Introduction
Infix to Postfix conversion means converting a mathematical expression from infix notation into postfix notation.
Infix notation:
A + B Postfix notation:
AB+In infix notation:
- operators are written between operands
In postfix notation:
- operators are written after operands
Example:
Input: A+B*C
Output: ABC*+
Explanation:
Multiplication has higher precedence than addition.
So:
- B*C is evaluated first
- then addition is performed
Constraints
Expression contains:Operands:
A-Z, a-z, 0-9
Operators:
+, -, *, /, ^
Parentheses:
( )
Approach 1 : Brute Force (Manual Operator Handling)
Explanations:
Explanation:
The idea is to manually process operands and operators separately.
Steps:
- Traverse the expression.
- Add operands directly into output.
- Store operators separately.
- Append operators later.
This approach is simple but does not correctly handle:
- precedence
- associativity
- nested brackets
So it is not suitable for complex expressions.
Dry Run
Input:
A+B*C
Traversal:
A → operand
Output:
A
+ → operator
B → operand
Output:
AB
* → operator
C → operand
Output:
ABC
Append operators:
ABC*+
Final Output:ABC*+
Practice :
Complexity Analysis
Time Complexity:- O(n)Explanation :
Expression is traversed once.
Space Complexity:- O(n)
Explanation :
Extra operator storage is used.
Explanations:
Explanation:
This is the most optimized and interview-preferred solution.
The idea is to use a stack for handling:
- operators
- precedence
- parentheses
Rules:
- Operand → directly add to output
- '(' → push into stack
- ')' → pop until '('
- Higher precedence operators remain on stack
- Lower precedence operators pop existing operators
This correctly handles complex mathematical expressions.
Dry Run
Input:
A+B*C
Initial: Stack = []
Output = ""
Step 1:
A → operand
Output:
A
Step 2:
+ → push into stack
Stack:
[+]
Step 3:
B → operand
Output:
AB
Step 4:
* → higher precedence than +
Stack:
[+, *]
Step 5:
C → operand
Output:
ABC
Pop stack:
*
+
Final Output:ABC*+
Practice :
Complexity Analysis
Time Complexity:- O(n)Explanation :
Each character is processed only once.
Space Complexity:- O(n)
Explanation :
Stack stores operators and parentheses.
Why This Problem is Important
This problem builds the foundation for:
- Expression parsing
- Compiler design
- Stack applications
- Operator precedence handling
- Mathematical expression evaluation
Real-World Applications
Infix to Postfix conversion is used in:
- Compilers
- Calculators
- Programming language parsers
- SQL parsers
- Mathematical evaluation engines
Common Beginner Mistakes
- Incorrect precedence comparison
- Forgetting parentheses handling
- Popping operators incorrectly
- Ignoring associativity rules
- Not clearing remaining stack operators
Interview Tip
Interviewers often expect:
- use of Stack Data Structure
- correct precedence handling
- parentheses management
- O(n) solution
Always explain why postfix notation simplifies expression evaluation.
Related Questions
- Prefix to Infix
- Evaluate Postfix Expression
- Basic Calculator
- Valid Parentheses
- Expression Tree Evaluation
Final Takeaway
The Infix to Postfix problem is one of the most important stack-based expression handling problems.
It teaches:
- operator precedence
- stack processing
- parsing logic
- expression conversion
Understanding this problem builds a strong foundation for:
- compiler design
- expression evaluation
- advanced stack interview problems.