Electrical power system calculations rely heavily on the Y_{bus} matrix,
which is the Laplacian matrix of the network under study, weighted by the
complex-valued admittance of each branch. It is often useful to partition the
Y_{bus} into four submatrices, to separately quantify the connectivity
between and among the load and generation nodes in the network. Simple
manipulation of these submatrices gives the F_{LG} matrix, which offers
useful insights on how voltage deviations propagate through a power system and
on how energy losses may be minimized. Various authors have observed that in
practice the elements of F_{LG} are real-valued and its rows sum close to
one: the present paper explains and proves these properties.

Cuffe, Paul; Dassios, Ioannis K.; Keane, Andrew(IEEE Computer Society, 2016)

Abstract—Loss minimizing generator dispatch profiles for
power systems are usually derived using optimization techniques.
However, some authors have noted that a system’s KGL matrix
can be used to analytically determine ...

Dassios, Ioannis K.; Fountoulakis, Kimon; Gondzio, Jacek(Society for Industrial and Applied Mathematics, 2016)

In this paper we are concerned with the solution of Compressed Sensing (CS) problems where the signals to be recovered are sparse in coherent and redundant dictionaries. We extend the primal-dual Newton Conjugate Gradients ...

Dassios, Ioannis K.; Zimbidis, Alexandros; Kontzalis, Charalambos(Springer, 2014)

This paper extends the classical Samuelson multiplier–accelerator model
for national economy. Actually, this new modeling structure removes the basic shortcoming of the original model producing stable business cycles when ...

In this article, we focus on a generalized problem of linear non-autonomous fractional nabla difference equations. Firstly, we define the equations and describe how this family of problems covers other linear fractional ...

O'Brien, Joseph D.; Dassios, Ioannis K.; Gleeson, James P.(IOP Publishing, 2019)

A model for the spreading of online information or ‘memes’ on multiplex networks is introduced and
analyzed using branching-process methods. The model generalizes that of (Gleeson et al 2016 Phys.
Rev.X) in two ways. ...