Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...

This is a preview. Log in through your library . Abstract Consider a system ψ of nonconstant affine-linear forms ψ₁,…,ψ t : ℤ d → ℤ, no two of which are linearly dependent. Let N be a large integer, ...

Abstract: The computation of matrix pseudoinverses is a recurrent requirement across various scientific computing and engineering domains. The prevailing models for matrix pseudoinverse typically ...

The Modelica_LinearSystems2 library is a Modelica package providing different representations of linear, time invariant differential and difference equation systems. For example, record StateSpace ...

Abstract: We present a novel framework for transferring the knowledge from one system (source) to design a stabilizing controller for a second system (target). Our motivation stems from the hypothesis ...