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for every matrix norm on.
for every matrix norm on, hence (4.6).
for every matrix Δ T. This is the route the technique of variation takes.
For every matrix size, we randomly generated 10 different realizations of Gaussian and partial Fourier matrices.
Every matrix M can be turned into a new reduced matrix by identifying the elements related by its Leibniz congruence.
Every matrix (A inmathcal{A}) can be written as A=A_{c}+X, (17) where (|X|preccurlyeq A_{p}).
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(i for every and for every, the matrix is a positive semi-definite matrix.
(i for every and for every, the matrix is a positive semidefinite matrix; particularly (3.8).
As a linear transformation, every orthogonal matrix with determinant +1 is a pure rotation, while every orthogonal matrix with determinant -1 is either a pure reflection, or a composition of reflection and rotation.
Every CP matrix is doubly nonnegative (DNN), i.e., positive semidefinite and component-wise nonnegative, and it is known that, for n⩽4 only, every DNN matrix is CP.
Kuhn's account argues that resisting falsification is precisely what every disciplinary matrix in science does.
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