Explore the investigation of fuzzy matrix equations and their conversion into crisp matrix equations. Discover the fuzzy approximate solution and existence conditions of strong LR fuzzy solutions.

However, solving matrix equations in a single operation remains an open challenge. Here, we show that a feedback circuit with cross-point resistive memories can solve algebraic problems such as ...

In this paper, for online solution of time-varying linear matrix inequality (LMI), such an LMI is first converted to a time-varying matrix equation by introducing a time-varying matrix, of which each ...

Matrices are important tools for many fields, and used in solving systems of linear equation. Technological tools are available to work with matrix operations, but still students avoid using matrices, ...

Hessian matrices are square matrices consisting of all possible combinations of second partial derivatives of a scalar-valued initial function. As such, Hessian matrices may be treated as elementary ...

Finally we give numerical results that illustrate the validity of our approach. matrix differential equation; numerical schemes; numerical linear algebra; preconditioning Matrix differential equations ...

The general solvers of Lyapunov and Sylvester equations rely on a set of specialized solvers for real or complex matrices in appropriate Schur forms. For testing purposes, a set of solvers for various ...

An n × n complex matrix A is said to be a reflexive (anti-reflexive) matrix with respect to the generalized reflection matrix P if A = PAP (A = — PAP). The reflexive and anti-reflexive matrices have ...