= Computational complexity of matrix multiplication
{wiki=Computational_complexity_of_matrix_multiplication}
The computational complexity of matrix multiplication depends on the algorithms used for the task. 1. **Naive Matrix Multiplication**: The most straightforward method for multiplying two \\( n \\times n \\) matrices involves three nested loops, leading to a time complexity of \\( O(n^3) \\). Each element of the resulting matrix is computed by taking the dot product of a row from the first matrix and a column from the second.
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