activity
20162023
most citedFurther results on generalized inverses of tensors via the Einstein product

60 citations · 155 across the 16 of their papers we have counts for

collaborators

17 papers

math.RA2023

On WD and WDMP generalized inverses in rings

Amit Kumar, Debasisha Mishra

Motivated by the very recent work of Gao, Y., Chen, J., Wang, J., Zou, H. [Comm. Algebra, 49(8) (2021) 3241-3254; MR4283143], we introduce two new generalized inverses named weak D…

math.RA2023★ 1 cited

On generalized-Drazin inverses and GD-star matrices

Amit Kumar, Vaibhav Shekhar, Debasisha Mishra

Motivated by the works of Wang and Liu [Linear Algebra Appl., 488 (2016) 235-248; MR3419784] and Mosic [Results Math., 75(2) (2020) 1-21; MR4079761], we provide further results on…

math.NA2022★ 2 cited

Numerical range for weighted Moore-Penrose inverse of tensor

Aaisha Be, Vaibhav Shekhar, Debasisha Mishra

This article first introduces the notion of weighted singular value decomposition (WSVD) of a tensor via the Einstein product. The WSVD is then used to compute the weighted Moore-P…

math.RA2022★ 3 cited

On forward-order law for core inverse in rings

Amit Kumar, Debasisha Mishra

If and are a pair of invertible elements, then is also invertible and the inverse of the product satisfying is known as the {\it forwar…

math.RA2021★ 5 cited

A note on numerical ranges of tensors

Nirmal Chandra Rout, Krushnachandra Panigrahy, Debasisha Mishra

Theory of numerical range and numerical radius for tensors is not studied much in the literature. In 2016, Ke {\it et al.} [Linear Algebra Appl., 508 (2016) 100-132] introduced fir…

math.FA2020★ 9 cited

Further results on -numerical radius inequalities

Nirmal Chandra Rout, Debasisha Mishra

Let be a bounded linear positive operator on a complex Hilbert space Further, let denote the set of all bounded linear operators on…

math.NA2020★ 1 cited

Convergence of two-stage iterative scheme for -weak regular splittings of type II with application to Covid-19 pandemic model

Vaibhav Shekhar, Nachiketa Mishra, Debasisha Mishra

Monotone matrices play a key role in the convergence theory of regular splittings and different types of weak regular splittings. If monotonicity fails, then it is difficult to gua…

math.NA2020★ 3 cited

Alternating Stationary Iterative Methods Based on Double Splittings

Ashish Kumar Nandi, Nachiketa Mishra, Debasisha Mishra

Matrix double splitting iterations are simple in implementation while solving real non-singular (rectangular) linear systems. In this paper, we present two Alternating Double Split…

math.FA2020★ 4 cited

On A-numerical radius inequalities for operator matrices

Nirmal Chandra Rout, Satyajit Sahoo, Debasisha Mishra

Let ( be a complex Hilbert space and be a positive bounded linear operator on it. Let be the -numerical radius and be…

math.RA2019★ 8 cited

Reverse-order law for weighted Moore--Penrose inverse of tensors

Krushnachandra Panigrahy, Debasisha Mishra

In this paper, we provide a few properties of the weighted Moore--Penrose inverse for an arbitrary order tensor via the Einstein product. We again obtain some new sufficient condit…

math.NA2018★ 2 cited

Three-step alternating iterations for index one matrices

Ashish Kumar Nandi, Jajati Keshari Sahoo, Debasisha Mishra

Iterative methods based on matrix splittings are useful in solving large sparse linear systems. In this direction, proper splittings and its several extensions are used to deal wit…

math.RA2018★ 5 cited

On reverse-order law of tensors and its application to additive results on Moore-Penrose inverse

Krushnachandra Panigrahy, Debasisha Mishra

The equality $(\mc{A}\n\mc{B})^\dagger = \mc{B}^\dagger \n \mc{A}^\dagger$ for any two complex tensors $\mc{A}$ and $\mc{B}$ of arbitrary order, is called as the {\it reverse-order…

math.RA2018★ 24 cited

An extension of the Moore-Penrose Inverse of a Tensor via the Einstein product

Krushnachandra Panigrahy, Debasisha Mishra

In this paper, we first give an expression for the Moore-Penrose inverse of the product of two tensors via the Einstein product. We then introduce a new generalized inverse of a te…

math.RA2017★ 28 cited

Reverse order law for the Moore-Penrose inverses of tensors

Krushnachandra Panigrahy, Ratikanta Behera, Debasisha Mishra

Reverse order law for the Moore-Penrose inverses of tensors are useful in the field of multilinear algebra. In this paper, we first prove some more identities involving the Moore-P…

math.NA2016

Comparison results for proper multisplittings of rectangular matrices

Chinmay Kumar Giri, Debasisha Mishra

The least square solution of minimum norm of a rectangular linear system of equations can be found out iteratively by using matrix splittings. However, the convergence of such an i…

math.RA2016★ 60 cited

Further results on generalized inverses of tensors via the Einstein product

Ratikanta Behera, Debasisha Mishra

The notion of the Moore-Penrose inverse of tensors with the Einstein product was introduced, very recently. In this paper, we further elaborate this theory by producing a few chara…

math.NA2016

Proper Weak Regular Splitting and its Application to Convergence of Alternating Iterations

Debasisha Mishra

The theory of matrix splitting is a useful tool for finding solution of rectangular linear system of equations, iteratively. The purpose of this paper is two-fold. Firstly, we revi…