activity
20092025
most citedOn backward errors of structured polynomial eigenproblems solved by structure preserving linearizations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

math.SP2025

A brief overview of spectral perturbation Theory

Rafikul Alam

The aim of this article is to present a brief overview of spectral perturbation theory for matrices, bounded linear operators and holomorphic operator-valued functions. We focus on…

math.SP2025

Analytic matrix descriptions with application to time-delay systems

Rafikul Alam, Jibrail Ali

A polynomial matrix description(PMD) of a rational matrix is a matrix polynomial of the form $$ \mathbf{P}(λ) := \left[\begin{array}{c|c} A(λ) & B(λ) \\ \hline -C(λ) & D(λ)\…

math.NA2025

Structure-preserving deflation of critical eigenvalues in quadratic eigenvalue problems associated with damped mass-spring systems

Rafikul Alam, Volker Mehrmann, Ninoslav Truhar

For a quadratic matrix polynomial associated with a damped mass-spring system there are three types of critical eigenvalues, the eigenvalues and and the eigenvalues on…

math.NA2020

Structured strong linearizations of structured rational matrices

Ranjan Kumar Das, Rafikul Alam

Structured rational matrices such as symmetric, skew-symmetric, Hamiltonian, skew-Hamiltonian, Hermitian, and para-Hermitian rational matrices arise in many applications. Lineariza…

math.NA2015

Linearizations for Rosenbrock system polynomials and rational matrix functions

Rafikul Alam, Namita Behera

Our aim in this paper is two-fold: First, for computing zeros of a linear time-invariant (LTI) system in {\em state-space form}, we introduce a "trimmed structured linearizatio…

math.NA2015

Structured inverse least-squares problem for structured matrices

Bibhas Adhikari, Rafikul Alam

Given a pair of matrices X and B and an appropriate class of structured matrices S, we provide a complete solution of the structured inverse least-squares problem $min_{A\in_S} \|A…

math.NA2013

Structured mapping problems for linearly structured matrices

Bibhas Adhikari, Rafikul Alam

Given an appropriate class of structured matrices S; we characterize matrices X and B for which there exists a matrix A \in S such that AX = B and determine all matrices in S mappi…

math.NA2009★ 1 cited

On backward errors of structured polynomial eigenproblems solved by structure preserving linearizations

Bibhas Adhikari, Rafikul Alam

First, we derive explicit computable expressions of structured backward errors of approximate eigenelements of structured matrix polynomials including symmetric, skew-symmetric, He…