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THMatrix multiplication is a fundamental concept in mathematics with real-world applications in physics, engineering, and machine learning. It works by combining two matrices in a structured way: the number of columns in the first matrix must match the number of rows in the second. The result is a new matrix where each element is found by taking the dot product of a row from the first matrix and a column from the second. Unlike simple arithmetic, matrix multiplication isn’t always reversible, order matters, meaning AxB is usually different from BxA . Despite this, it follows predictable rules, such as associativity and distributivity.
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