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Infix to Postfix Conversion Using Stack in DSA Go - Time & Space Complexity

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Time Complexity: Infix to Postfix Conversion Using Stack
O(n)
Understanding Time Complexity

We want to understand how the time taken to convert an infix expression to postfix grows as the expression gets longer.

How does the number of steps change when the input expression size increases?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

func infixToPostfix(expr string) string {
    stack := []rune{}
    result := ""
    for _, ch := range expr {
        if isOperand(ch) {
            result += string(ch)
        } else if ch == '(' {
            stack = append(stack, ch)
        } else if ch == ')' {
            for len(stack) > 0 && stack[len(stack)-1] != '(' {
                result += string(stack[len(stack)-1])
                stack = stack[:len(stack)-1]
            }
            stack = stack[:len(stack)-1] // pop '('
        } else {
            for len(stack) > 0 && precedence(stack[len(stack)-1]) > precedence(ch) {
                result += string(stack[len(stack)-1])
                stack = stack[:len(stack)-1]
            }
            stack = append(stack, ch)
        }
    }
    for len(stack) > 0 {
        result += string(stack[len(stack)-1])
        stack = stack[:len(stack)-1]
    }
    return result
}

This code converts an infix expression (like "a+b*c") into postfix notation (like "abc*+") using a stack to manage operators.

Identify Repeating Operations
  • Primary operation: Single loop over each character in the input expression.
  • How many times: Exactly once per character, so n times where n is expression length.
  • Inside the loop, there are inner loops popping from the stack, but each operator is pushed and popped at most once.
How Execution Grows With Input

As the expression length grows, the number of operations grows roughly in a straight line.

Input Size (n)Approx. Operations
10About 10 main steps plus some stack pops
100About 100 main steps plus stack operations
1000About 1000 main steps plus stack operations

Pattern observation: The total steps increase roughly in direct proportion to the input size.

Final Time Complexity

Time Complexity: O(n)

This means the time to convert grows linearly with the length of the expression.

Common Mistake

[X] Wrong: "Because of nested loops, the time complexity is quadratic O(n²)."

[OK] Correct: The inner loops pop operators only once per operator, so total work is proportional to n, not n squared.

Interview Connect

Understanding this linear time complexity helps you explain how efficient stack-based parsing is, a skill useful in many coding problems.

Self-Check

"What if the input expression contains multi-digit numbers or variables with multiple letters? How would the time complexity change?"

Practice

(1/5)
1. What is the main purpose of using a stack in Infix to Postfix Conversion?
easy
A. To temporarily hold operators and manage their precedence
B. To store the final postfix expression
C. To reverse the infix expression
D. To count the number of operands

Solution

  1. Step 1: Understand the role of stack in conversion

    The stack is used to hold operators temporarily while processing the infix expression to respect operator precedence and associativity.
  2. Step 2: Identify what is stored in stack

    Operands are directly added to the output, while operators are pushed to the stack to decide their order in postfix.
  3. Final Answer:

    To temporarily hold operators and manage their precedence -> Option A
  4. Quick Check:

    Stack holds operators for precedence [OK]
Hint: Stack holds operators, output holds operands [OK]
Common Mistakes:
  • Thinking stack stores operands
  • Confusing stack role with output
  • Ignoring operator precedence
2. Which of the following Go code snippets correctly initializes an empty stack for infix to postfix conversion?
easy
A. var stack []rune = []rune{}
B. stack := make([]int, 0)
C. stack := []string{0}
D. var stack []int = nil

Solution

  1. Step 1: Identify correct stack type for operators

    Operators are characters, so stack should be a slice of runes (characters) initialized empty.
  2. Step 2: Check initialization correctness

    var stack []rune = []rune{} initializes an empty rune slice correctly. stack := make([]int, 0) uses int slice, not suitable. stack := []string{0} has syntax error (cannot use int 0 as string). var stack []int = nil is nil slice, which can cause runtime errors.
  3. Final Answer:

    var stack []rune = []rune{} -> Option A
  4. Quick Check:

    Empty rune slice for operator stack [OK]
Hint: Use rune slice for operator stack [OK]
Common Mistakes:
  • Using int slice for operators
  • Initializing with wrong type
  • Using nil slice without initialization
3. What is the postfix expression output by the following Go code snippet for input "a+b*c"?
infix := "a+b*c"
// Assume correct infix to postfix conversion function called here
postfix := InfixToPostfix(infix)
fmt.Println(postfix)
medium
A. "a+bc*"
B. "ab+c*"
C. "abc*+"
D. "*abc+"

Solution

  1. Step 1: Analyze operator precedence in expression

    Multiplication (*) has higher precedence than addition (+), so 'b*c' is evaluated before adding 'a'.
  2. Step 2: Convert infix to postfix step-by-step

    Postfix is formed as 'a' 'b' 'c' '*' '+', which is "abc*+".
  3. Final Answer:

    "abc*+" -> Option C
  4. Quick Check:

    Multiplication before addition = "abc*+" [OK]
Hint: Multiply before add means * goes before + in postfix [OK]
Common Mistakes:
  • Ignoring operator precedence
  • Placing + before * in postfix
  • Confusing operand order
4. Given this Go function snippet for infix to postfix conversion, what is the bug?
func precedence(op rune) int {
    if op == '+' || op == '-' {
        return 1
    } else if op == '*' || op == '/' {
        return 2
    }
    return 0
}

// InfixToPostfix function uses precedence(op) to compare operators
// but outputs incorrect postfix for input "a+b^c"
medium
A. Precedence function returns 0 for non-operators causing errors
B. Precedence function returns int instead of float
C. Precedence values for '+' and '-' are swapped
D. Precedence function does not handle '^' operator

Solution

  1. Step 1: Check if all operators are handled

    The function handles '+', '-', '*', '/' but misses '^' (exponent) operator which is common in infix expressions.
  2. Step 2: Understand impact on output

    If input contains '^', missing precedence causes wrong order in postfix output.
  3. Final Answer:

    Precedence function does not handle '^' operator -> Option D
  4. Quick Check:

    Missing '^' causes wrong postfix [OK]
Hint: Include all operators in precedence function [OK]
Common Mistakes:
  • Ignoring missing operators
  • Assuming 0 precedence is error
  • Confusing precedence values
5. How would you modify the infix to postfix algorithm to correctly handle parentheses in the expression (a+b)*c?
hard
A. Ignore parentheses and treat them as operands
B. Push '(' onto stack and pop operators until '(' when ')' is found
C. Remove all parentheses before conversion
D. Treat '(' as higher precedence operator and never pop it

Solution

  1. Step 1: Understand role of parentheses in infix

    Parentheses change normal precedence by grouping expressions to evaluate first.
  2. Step 2: Modify stack operations for parentheses

    Push '(' onto stack when encountered. When ')' is found, pop operators until '(' is popped, discarding both parentheses.
  3. Final Answer:

    Push '(' onto stack and pop operators until '(' when ')' is found -> Option B
  4. Quick Check:

    Parentheses control stack push/pop [OK]
Hint: Push '(' and pop until '(' on ')' [OK]
Common Mistakes:
  • Ignoring parentheses in algorithm
  • Treating parentheses as operands
  • Not popping until '(' on ')'
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