Sylvester's Criterion is a method used to determine whether a symmetric matrix is positive semidefinite. This criterion states that a symmetric matrix is positive semidefinite if and only if all leading principal minors are non-negative. The significance of this criterion lies in its ability to provide an efficient means of assessing the properties of matrices, especially in the context of optimization and quadratic forms.
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