The Frobenius Norm is a matrix norm that provides a measure of the size or magnitude of a matrix. It is defined as the square root of the sum of the absolute squares of its elements. Mathematically, for a matrix with elements , the Frobenius Norm is given by:
where is the number of rows and is the number of columns in the matrix . The Frobenius Norm can be thought of as a generalization of the Euclidean norm to higher dimensions. It is particularly useful in various applications including numerical linear algebra, statistics, and machine learning, as it allows for easy computation and comparison of matrix sizes.
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