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Received: 21 June 2020 Revised: 16 September 2020 Accepted: 30 December 2020 Published on: 29 April 2021
DOI: 10.1002/num.22793
RESEARCH ARTICLE
An effective relaxed alternating procedure for
Cauchy problem connected with Helmholtz Equation
Karzan A. Berdawood1,2 Abdeljalil Nachaoui2Mourad Nachaoui2,3
Fatima Aboud4
1Department of Mathematics, Salahaddin
University, Erbil, Iraq
2Laboratoire de Mathématiques Jean Leray
UMR6629 CNRS, Université de Nantes 2 rue de
la Houssinière, Nantes, France
3Laboratoire de Mathématiques et Applications,
Université Sultan Moulay slimane, Faculté des
Sciences et Techniques, Béni-Mellal, Morocco
4University of Diyala, Diyala, Iraq
Correspondence
M. Nachaoui, Laboratoire de Mathématiques Jean
Leray UMR6629 CNRS / Université de Nantes 2
rue de la Houssinière, BP92208 44322 Nantes,
France.
Email: mourad.nachaoui@univ-nantes.fr
Abstract
This paper is concerned with the Cauchy problem for the
Helmholtz equation. Recently, some new works asked
the convergence of the well-known alternating iterative
method. Our main result is to propose a new alternating
algorithm based on relaxation technique. In contrast to the
existing results, the proposed algorithm is simple to imple-
ment, converges for all choice of wave number, and it can
be used as an acceleration of convergence in the case where
the classical alternating algorithm converges. We present
theoretical results of the convergence of our algorithm. The
numerical results obtained using our relaxed algorithm and
the finite element approximation show the numerical sta-
bility, consistency and convergence of this algorithm. This
confirms the efficiency of the proposed method.
KEYWORDS
data completion, Helmholtz equation, inverse Cauchy
problem,numerical simulation, relaxedalternating iterative
method
1INTRODUCTION
The Helmholtz equation is an elliptic Partial Differential Equation (PDE), which represents
time-independent solutions of the wave equation. It is often encountered in many branches of science
and engineering. This equation is used to model a wide variety of physical phenomena. These include
among others, wave propagation, vibration phenomena, aeroacoustics, under-water acoustics, seis-
mic inversion, electromagnetic, as well as heat conduction problems. Efficient and accurate numerical
approximation to the Helmholtz equation is significant to scientific computation. This explains the
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