Global least squares method based on tensor form to solve linear systems in Kronecker format

On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations

(2016) Fatemeh Panjeh Ali Beik et al.   NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS

Novel criteria for finite-time stabilization and guaranteed cost control of delayed neural networks

(2015) P. Niamsup et al.   NEUROCOMPUTING

A general iterative approach for solving the general constrained linear matrix equations system

(2015) Saeed Karimi et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs

(2013) B.N. Khoromskij et al.   Computational Methods in Applied Mathematics

A projection method to solve linear systems in tensor format

(2012) Jonas Ballani et al.   NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS

A projection method and Kronecker product preconditioner for solving Sylvester tensor equations

(2012) Zhen Chen et al.   Science China-Mathematics

Tensor-Structured Galerkin Approximation of Parametric and Stochastic Elliptic PDEs

(2011) Boris N. Khoromskij et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Stability and stabilization of switched linear discrete-time systems with interval time-varying delay

(2011) V.N. Phat et al.   Nonlinear Analysis-Hybrid Systems

Krylov Subspace Methods for Linear Systems with Tensor Product Structure

(2010) Daniel Kressner et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

ASYMPTOTIC STABILITY OF NONLINEAR DELAY-DIFFERENCE SYSTEM VIA MATRIX INEQUALITIES AND APPLICATION

(2009) K. RATCHAGIT   International Journal of Computational Methods

Schur-decomposition for 3D matrix equations and its application in solving radiative discrete ordinates equations discretized by Chebyshev collocation spectral method

(2009) Ben-Wen Li et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Efficient MATLAB Computations with Sparse and Factored Tensors

(2007) Brett W. Bader et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING