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  • Guide to Calculating Algorithm Complexity ๐Ÿš€
  • Topic 1 Array - String
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    • 27. Remove Element ๐Ÿงน
    • 26. Remove Duplicates from Sorted Array ๐Ÿšซ
    • 80. Remove Duplicates from Sorted Array II ๐Ÿšซ๐Ÿšซ
    • 169. Majority Element ๐Ÿ‘‘
    • 189. Rotate Array ๐Ÿ”„
    • 121. Best Time to Buy and Sell Stock ๐Ÿ“ˆ
    • 122. Best Time to Buy and Sell Stock II ๐Ÿ“ˆ๐Ÿ’ฐ
    • 55. Jump Game ๐Ÿƒโ€โ™‚๏ธ
    • 45. Jump Game II ๐Ÿƒโ€โ™‚๏ธ
    • 274. H-Index ๐Ÿ“Š
    • 380. Insert Delete GetRandom O(1) ๐ŸŽฒ
    • 238. Product of Array Except Self ๐Ÿ”„
    • 134. Gas Station โ›ฝ
    • 135. Candy ๐Ÿฌ
    • 42. Trapping Rain Water ๐ŸŒง๏ธ
    • 13. Roman to Integer ๐Ÿ”ข
    • 018 Integer to Roman
    • 58. Length of Last Word ๐Ÿ” 
    • 14. Longest Common Prefix ๐ŸŒฑ
    • 151. Reverse Words in a String ๐Ÿ”„
    • 6. Zigzag Conversion ๐Ÿ”€
    • 28. Find the Index of the First Occurrence in a String ๐Ÿ”„
    • 68. Text Justification ๐Ÿ”„
  • Topic 2 Two Pointers
    • 125. Valid Palindrome ๐Ÿšฆ
    • 392. Is Subsequence ๐Ÿ“
    • 167. Two Sum II - Input Array Is Sorted ๐Ÿ”
    • 11. Container With Most Water ๐Ÿž๏ธ
    • 15. 3Sum ๐ŸŒ
  • Topic 3 Sliding Window
    • 209. Minimum Size Subarray Sum ๐ŸŒ
    • 3. Longest Substring Without Repeating Characters ๐ŸŒ
    • 30. Substring with Concatenation of All Words ๐ŸŒ
    • 76. Minimum Window Substring ๐ŸŒ
  • Topic 4 Matrix
    • 36. Valid Sudoku ๐ŸŒ
    • 54. Spiral Matrix ๐ŸŒ
    • 48. Rotate Image ๐Ÿ”„
    • 73. Set Matrix Zeroes
    • 289. Game of Life ๐Ÿ–ผ๏ธ
  • Topic 5 Hashmap
    • 383. Ransom Note ๐Ÿ”
    • 205. Isomorphic Strings ๐Ÿ”
    • 290. Word Pattern ๐Ÿงฉ
    • 242. Valid Anagram ๐ŸŽข
    • 49. Group Anagrams ๐Ÿคนโ€โ™‚๏ธ
    • 1. Two Sum ๐Ÿ”
    • 202. Happy Number ๐Ÿคฉ
    • 219. Contains Duplicate II ๐Ÿ”
    • 128. Longest Consecutive Sequence ๐Ÿ”
  • Topic 6 Intervals
    • 228. Summary Ranges ๐Ÿ“Š
    • 56. Merge Intervals ๐Ÿ”€
    • 57. Insert Interval ๐Ÿ†•
    • 452. Minimum Number of Arrows to Burst Balloons ๐ŸŽˆ
  • Topic 7 Stack
    • 20. Valid Parentheses ๐Ÿ”
    • 71. Simplify Path ๐Ÿ—บ๏ธ
    • 155. Min Stack ๐Ÿ—ƒ๏ธ
    • 150. Evaluate Reverse Polish Notation ๐Ÿง ๐Ÿ’ป
    • 224. Basic Calculator ๐Ÿงฎ
  • Topic 8 Linked List
    • 141. Linked List Cycle ๐Ÿ”
    • 2. Add Two Numbers ๐Ÿ”ข
    • 21. Merge Two Sorted Lists ๐Ÿ”—
    • 138. Copy List with Random Pointer ๐Ÿ”—
    • 92. Reverse Linked List II ๐Ÿ”„
      • Letโ€™s explain step by step ๐Ÿ‡
    • 25. Reverse Nodes in k-Group ๐Ÿ”„
    • 19. Remove Nth Node From End of List ๐Ÿ—‘๏ธ
    • 82. Remove Duplicates from Sorted List II โŒ๐Ÿ”ข
    • 61. Rotate List ๐Ÿ”„
    • 86. Partition List ๐Ÿ”—
    • 146. LRU Cache ๐Ÿ”—
  • Topic 9 Binary Tree General
    • 104. Maximum Depth of Binary Tree ๐Ÿ”—
    • 100. Same Tree ๐Ÿ”—
    • 226. Invert Binary Tree ๐Ÿ”—
    • 101. Symmetric Tree ๐Ÿ”—
    • 105. Construct Binary Tree from Preorder and Inorder Traversal ๐Ÿ”—
    • 106. Construct Binary Tree from Inorder and Postorder Traversal ๐Ÿ”—
    • 117. Populating Next Right Pointers in Each Node II ๐Ÿ”—
    • 114. Flatten Binary Tree to Linked List ๐Ÿ”—
    • 112. Path Sum ๐Ÿ”—
    • 129. Sum Root to Leaf Numbers ๐Ÿ”—
      • What_is_DFS
    • 124. Binary Tree Maximum Path Sum ๐Ÿ”—
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  • Problem Statement ๐Ÿ“œ
  • Examples ๐ŸŒŸ
  • Constraints โš™๏ธ
  • Solution ๐Ÿ’ก
  • Java Solution
  • Explanation of the Solution
  • Time Complexity โณ
  • Space Complexity ๐Ÿ’พ

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  1. Topic 7 Stack

150. Evaluate Reverse Polish Notation ๐Ÿง ๐Ÿ’ป

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Last updated 4 months ago

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Difficulty: Medium - Tags: Stack, Math


Problem Statement ๐Ÿ“œ

Given an array of strings tokens representing an arithmetic expression in Reverse Polish Notation (RPN), evaluate the expression and return the result as an integer.

Rules:

  1. Valid operators: '+', '-', '*', and '/'.

  2. Each operand is either an integer or another RPN expression.

  3. Division between two integers truncates towards zero.

  4. No division by zero occurs.

  5. The input always represents a valid RPN expression.

  6. Results and intermediate calculations fit in a 32-bit integer.


Examples ๐ŸŒŸ

๐Ÿ”น Example 1:

Input:

tokens = ["2","1","+","3","*"]

Output:

9

Explanation: ((2 + 1) * 3) = 9


๐Ÿ”น Example 2:

Input:

tokens = ["4","13","5","/","+"]

Output:

6

Explanation: (4 + (13 / 5)) = 6


๐Ÿ”น Example 3:

Input:

tokens = ["10","6","9","3","+","-11","*","/","*","17","+","5","+"]

Output:

22

Explanation:

((10 * (6 / ((9 + 3) * -11))) + 17) + 5
= ((10 * (6 / (12 * -11))) + 17) + 5
= ((10 * (6 / -132)) + 17) + 5
= ((10 * 0) + 17) + 5
= (0 + 17) + 5
= 17 + 5
= 22

Constraints โš™๏ธ

  • 1 <= tokens.length <= 10^4

  • Each tokens[i] is:

    • An operator: '+', '-', '*', '/'', or

    • An integer in the range [-200, 200].


Solution ๐Ÿ’ก

To evaluate an RPN expression efficiently, we use a stack:

  1. Traverse the tokens one by one:

    • If the token is a number, push it onto the stack.

    • If the token is an operator, pop the top two numbers from the stack, perform the operation, and push the result back onto the stack.

  2. At the end, the stack will contain a single number, which is the result.


Java Solution

import java.util.Stack;

class Solution {
    public int evalRPN(String[] tokens) {
        Stack<Integer> stack = new Stack<>();

        for (String token : tokens) {
            if (isOperator(token)) {
                int b = stack.pop(); // Second operand
                int a = stack.pop(); // First operand
                stack.push(performOperation(a, b, token));
            } else {
                stack.push(Integer.parseInt(token)); // Push number onto stack
            }
        }

        return stack.pop(); // The result is the last element in the stack
    }

    private boolean isOperator(String token) {
        return token.equals("+") || token.equals("-") || token.equals("*") || token.equals("/");
    }

    private int performOperation(int a, int b, String operator) {
        switch (operator) {
            case "+":
                return a + b;
            case "-":
                return a - b;
            case "*":
                return a * b;
            case "/":
                return a / b; // Integer division
            default:
                throw new IllegalArgumentException("Invalid operator");
        }
    }
}

Explanation of the Solution

  1. Stack Usage:

    • Push operands onto the stack.

    • For operators, pop the top two elements, compute the result, and push the result back onto the stack.

  2. Operator Handling:

    • Each operator performs its operation (+, -, *, /) on the last two numbers popped from the stack.

  3. Edge Cases:

    • Division truncates towards zero (handled by Javaโ€™s / operator for integers).


Time Complexity โณ

  • O(n): We process each token once.

Space Complexity ๐Ÿ’พ

  • O(n): Stack space for storing numbers during computation.

You can find the full solution .

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