Results 181 to 190 of about 6,682,316 (219)

Category-Native Solomonoff Approximation: From Algorithmic Geometry to Kernels, Operators, and Induction. [PDF]

Entropy (Basel)
Hamzi B, Hutter M.
europepmc   +1 more source

Spectral Characterization of Stochastic Epidemic Variability on Regular Networks via the Kirchhoff Index. [PDF]

Entropy (Basel)
Alnafisah Y, Sohaly MA.
europepmc   +1 more source

Factorization norms and an inverse theorem for MaxCut. [PDF]

Math Ann
Balla I, Hambardzumyan L, Tomon I.
europepmc   +1 more source

Functions Operating on Positive Semidefinite Quaternionic Matrices

Monatshefte Fur Mathematik, 2001
We study functions phi : B --> H on the quaternionic unit ball B := {z is an element of H : /z/ less than or equal to 1} which operate on positive semidefinite matrices in the sense that (phi (a(ij))) is positive semidefinite whenever (a(ij)) is a ...
Helge Glöckner
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Approximation by a Hermitian Positive Semidefinite Toeplitz Matrix

SIAM Journal on Matrix Analysis and Applications, 1993
The authors study the problem of finding the closest Hermitian positive semidefinite Toeplitz matrix of a given rank to an arbitrary given matrix (in the Frobenius norm = Hilbert-Schmidt norm). They introduce two methods, one is based on using a special orthonormal basis in the space of Hermitian Toeplitz matrices and the second is a modified ...
T. J. Suffridge, Tom L. Hayden
openaire   +2 more sources

Cholesky decomposition of a positive semidefinite matrix with known kernel

Applied Mathematics and Computation, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zdenek Dostál, Tomás Kozubek, Alexandros Markopoulos, Martin Mensík   +3 more
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A note on Hermitian positive semidefinite matrix polynomials

Linear Algebra and its Applications, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Friedland, A. Melman
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The Probability that a (partial) matrix is positive semidefinite

1998
Assuming that a ij is distributed uniformly in [—1,1] and a ii = 1, we compute the probability that a symmetric matrix A = [a ij ] 171-1 j=1 is positive semidefinite. The probability is also computed if A is a Toeplitz matrix. Finally, some results for partial matrices are presented.
C. R. Johnson, G. Nævdal
openaire   +1 more source