#537

Complex Number Multiplication

Medium
MathStringSimulationString ManipulationMathematical Operations
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(1)
O(1)
💡

Intuition

Time O(n)Space O(1)

The optimal solution builds on the brute force approach but focuses on minimizing unnecessary operations. By directly parsing and calculating the result in one go, we reduce the overhead of string manipulation.

⚙️

Algorithm

4 steps
  1. 1Step 1: Split the input strings to get the real and imaginary parts.
  2. 2Step 2: Convert the parts to integers for calculations.
  3. 3Step 3: Use the multiplication formula for complex numbers to compute the real and imaginary parts.
  4. 4Step 4: Format the result into the required string format.
solution.py4 lines
1def complexNumberMultiply(num1: str, num2: str) -> str:
2    a, b = map(int, num1[:-1].split('+'))
3    c, d = map(int, num2[:-1].split('+'))
4    return f'{a * c - b * d}+{a * d + b * c}i'

Complexity note: The time complexity is O(n) as we are only parsing the strings once and performing a constant number of operations. The space complexity is O(1) since we are using a fixed amount of space for calculations.

  • 1Understanding complex number multiplication is crucial.
  • 2String manipulation can be minimized for efficiency.

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