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Implicit differentiation lets you find slopes and higher derivatives even when y is given indirectly by an equation F(x,y)=0.
Matrix norms measure the size of a matrix in different but related ways, with Frobenius treating entries like a big vector, spectral measuring the strongest stretch, and nuclear summing all singular values.