Results 61 to 70 of about 1,468 (179)

Extremal positive semidefinite doubly stochastic matrices

open access: yesLinear Algebra and its Applications, 1991
This paper continues the investigation initiated by \textit{J. P. R. Christensen} and \textit{P. Fischer} [ibid. 82, 123-132 (1986; Zbl 0599.15011)] on the extreme points of \(K_ n=H_ n\cap \Omega_ n\), the intersection set of the closed convex cone \(H_ n\) of all real \(n\times n\) symmetric positive semidefinite matrices and the compact convex set \(
Grone, Bob, Pierce, Steve
openaire   +2 more sources

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 40, Issue 3, Page 544-564, March 2026.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

A Geometric Mean of Parameterized Arithmetic and Harmonic Means of Convex Functions

open access: yesAbstract and Applied Analysis, 2012
The notion of the geometric mean of two positive reals is extended by Ando (1978) to the case of positive semidefinite matrices A and B. Moreover, an interesting generalization of the geometric mean A # B of A and B to convex functions was introduced by ...
Sangho Kum, Yongdo Lim
doaj   +1 more source

Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences

open access: yesEntropy, 2015
This work reviews and extends a family of log-determinant (log-det) divergences for symmetric positive definite (SPD) matrices and discusses their fundamental properties.
Andrzej Cichocki   +2 more
doaj   +1 more source

Rank inequalities for positive semidefinite matrices

open access: yesLinear Algebra and its Applications, 1996
Several inequalities relating the rank of a positive semidefinite matrix with the ranks of various principal submatrices are presented. These inequalities are analogous to known determinantal inequalities for positive definite matrices, such as Fischer's inequality, Koteljanskii's inequality, and extensions of these associated with chordal graphs.
Lundquist, Michael, Barrett, Wayne
openaire   +1 more source

Simulating Quantum State Transfer Between Distributed Devices Using Noisy Interconnects

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 3, March 2026.
Noisy connections challenge future networked quantum computers. This work presents a practical method to address this by simulating an ideal state transfer over noisy interconnects. The approach reduces the high sampling cost of previous methods, an advantage that improves as interconnect quality gets better.
Marvin Bechtold   +3 more
wiley   +1 more source

ON THE SET-SEMIDEFINITE REPRESENTATION OF NONCONVEX QUADRATIC PROGRAMS WITH CONE CONSTRAINTS

open access: yesCroatian Operational Research Review, 2010
The well-known result stating that any non-convex quadratic problem over the non-negative orthant with some additional linear and binary constraints can be rewritten as linear problem over the cone of completely positive matrices (Burer, 2009) is ...
Gabriele Eichfelder, Janez Povh
doaj  

Positive semidefiniteness of estimated covariance matrices in linear models for sample survey data

open access: yesSpecial Matrices, 2016
Descriptive analysis of sample survey data estimates means, totals and their variances in a design framework. When analysis is extended to linear models, the standard design-based method for regression parameters includes inverse selection probabilities ...
Haslett Stephen
doaj   +1 more source

From ƒ-Divergence to Quantum Quasi-Entropies and Their Use

open access: yesEntropy, 2010
Csiszár’s ƒ-divergence of two probability distributions was extended to the quantum case by the author in 1985. In the quantum setting, positive semidefinite matrices are in the place of probability distributions and the quantum generalization is called ...
Dénes Petz
doaj   +1 more source

Positive semi-definite matrices, exponential convexity for multiplicative majorization and related means of Cauchy's type

open access: yesJournal of Numerical Analysis and Approximation Theory, 2010
In this paper, we obtain new results concerning the generalizations of additive and multiplicative majorizations by means of exponential convexity. We prove positive semi-definiteness of matrices generated by differences deduced from majorization type ...
Naveed Latif, Josip Pečarić
doaj   +2 more sources

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