# Numerical Linear Algebra with Applications

Numerical Linear Algebra with Applications > 27 > 1 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 1 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 1 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 1 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 2 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 2 > n/a - n/a

^{1}term within the objective function requires sophisticated optimization methods. We propose the use of an interior‐point scheme applied to a smoothed reformulation of the...

Numerical Linear Algebra with Applications > 27 > 2 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 2 > n/a - n/a

*Z*‐eigenvectors of this type of tensors. However, unlike the matrix case, the method...

Numerical Linear Algebra with Applications > 27 > 2 > n/a - n/a

*k*distinct nonzero known roots, is determined by precisely

*k*of its proper leading coefficients. Furthermore, we give an explicit, numerically stable algorithm for computing the exact multiplicities of each root over $C$. We provide a version of the result and accompanying algorithm when the field is not algebraically...

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

*n*there is a Hermitian matrix

*X*

_{n}of size

*n*and that {

*X*

_{n}}

_{n}∼

_{λ}

*f*, that is, the matrix‐sequence {

*X*

_{n}}

_{n}enjoys an asymptotic spectral distribution, in the Weyl sense, described by a Lebesgue measurable...

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a

Numerical Linear Algebra with Applications > 27 > 3 > n/a - n/a