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Leetcode #640: Solve the Equation

In this guide, we solve Leetcode #640 Solve the Equation in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Solve a given equation and return the value of 'x' in the form of a string "x=#value". The equation contains only '+', '-' operation, the variable 'x' and its coefficient.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: Math, String, Simulation

Intuition

There is a mathematical invariant or formula that directly leads to the result.

Using math avoids unnecessary loops and reduces complexity.

Approach

Derive the formula or update rule, then compute the answer directly.

Handle edge cases like overflow or zero carefully.

Steps:

  • Identify the math relationship.
  • Compute the result with a loop or formula.
  • Handle edge cases.

Example

Input: equation = "x+5-3+x=6+x-2" Output: "x=2"

Python Solution

def solveEquation(equation: str) -> str: def parse(expr: str): expr = expr.replace('-', '+-') parts = expr.split('+') coef = 0 const = 0 for p in parts: if not p: continue if 'x' in p: val = p.replace('x', '') if val == '' or val == '+': coef += 1 elif val == '-': coef -= 1 else: coef += int(val) else: const += int(p) return coef, const left, right = equation.split('=') coef_l, const_l = parse(left) coef_r, const_r = parse(right) coef = coef_l - coef_r const = const_r - const_l if coef == 0: return 'Infinite solutions' if const == 0 else 'No solution' return f"x={const // coef}"

Complexity

The time complexity is O(n) or O(1). The space complexity is O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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