Add to ORKGWe study the consequences imposed on the form of certain tensor functions by the condition that their gradients are skew-symmettric with respect to some pairs of indexe
For more than a century, the spin tensor W (the skew-symmetric part of the velocity gradient L) has ...
The authors study systems of linear partial differential equations for tensor-valued unknowns. The s...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
We study the consequences imposed on the form of certain tensor functions by the condition that thei...
Abstract:When the computational point is approaching the poles, the variance and covariance formulae...
When the computational point is approaching the poles, the variance and covariance formulae of the d...
In this paper, we discuss tensor functions by dyadic representation of tensor. Two different cases o...
AbstractIn this paper, we propose the definition of D-eigenvalue for an arbitrary order tensor relat...
In a 4-dimensional Euclidean space, representation theorems have been recently obtained for isotropi...
AbstractIn Part I, a notation called Matrix-Tensor Notation was introduced for rectilinear orthogona...
International audienceThe subdifferential of convex functions of the singular spectrum of real matri...
A tensor is a multi-dimensional data array, occurring ubiquitously in mathematics, physics, engineer...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
This contribution deals with the derivation of explicit expressions of the gradients of first, seco...
The tensorial nature of a quantity permits us to formulate transformation rules for its components u...
For more than a century, the spin tensor W (the skew-symmetric part of the velocity gradient L) has ...
The authors study systems of linear partial differential equations for tensor-valued unknowns. The s...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
We study the consequences imposed on the form of certain tensor functions by the condition that thei...
Abstract:When the computational point is approaching the poles, the variance and covariance formulae...
When the computational point is approaching the poles, the variance and covariance formulae of the d...
In this paper, we discuss tensor functions by dyadic representation of tensor. Two different cases o...
AbstractIn this paper, we propose the definition of D-eigenvalue for an arbitrary order tensor relat...
In a 4-dimensional Euclidean space, representation theorems have been recently obtained for isotropi...
AbstractIn Part I, a notation called Matrix-Tensor Notation was introduced for rectilinear orthogona...
International audienceThe subdifferential of convex functions of the singular spectrum of real matri...
A tensor is a multi-dimensional data array, occurring ubiquitously in mathematics, physics, engineer...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...
This contribution deals with the derivation of explicit expressions of the gradients of first, seco...
The tensorial nature of a quantity permits us to formulate transformation rules for its components u...
For more than a century, the spin tensor W (the skew-symmetric part of the velocity gradient L) has ...
The authors study systems of linear partial differential equations for tensor-valued unknowns. The s...
Functional measures of skewness and kurtosis, called asymmetry and gradient asymmetry functions, are...