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\" alt=\"\" \/><\/p><p>\u00a0<\/p><h2><span style=\"font-weight: bolder; color: #003366;\">Publications Internationales:<\/span><\/h2><p>\u00a0<\/p><div><span style=\"font-weight: bolder;\"><span style=\"color: #000080;\">\u00a0<\/span><\/span><\/div><p><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"\" width=\"534\" height=\"23\" \/><\/p><p><span style=\"color: #000080;\"><span style=\"font-size: 16px;\"><b>\u00a0<\/b><\/span><\/span><\/p><table style=\"background-color: inherit;\" width=\"661\"><tbody><tr><td width=\"37\"><p>1<\/p><\/td><td width=\"625\"><p>M. Tlemcani<em>, \u201cA Two-Scale Asymptotic Analysis of a Time-Harmonic Scattering Problem with a Multi Layered Thin Periodic Domain\u201d, comm. In Comp. Phys (CiCP) 6 (2009), pp. 758-776.<\/em><\/p><p><em>\u00a0<\/em><a href=\"https:\/\/journal.global-sci.org\/intro\/article_detail.html?journal=undefined&amp;article_id=7704\">https:\/\/journal.global-sci.org\/intro\/article_detail.html?journal=undefined&amp;article_id=7704<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>2<\/p><\/td><td width=\"625\"><p>H. Barucq, J. Diaz, M. Tlemcani, <em>\u201cNew absorbing layers conditions for short water waves\u201d, J. Comp. <\/em><em>Phys 229 (2010) 58\u201372. <\/em><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0021999109004732\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0021999109004732<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>3<\/p><\/td><td width=\"625\"><p>Z. Benkamra, M. Terbeche, M. Tlemcani, <em>\u201cProc\u00e9dure d\u2019\u00e9chantillonnage efficace &#8211; Estimation de la fiabilit\u00e9 des syst\u00e8mes s\u00e9ries\/Parall\u00e8les \u00bb,\u00a0 Revue ARIMA, vol. 13 (2010), pp. 119-133. <\/em><a href=\"https:\/\/inria.hal.science\/hal-01286817\"><em>https:\/\/inria.hal.science\/hal-01286817<\/em><\/a>\u00a0<\/p><\/td><\/tr><tr><td width=\"37\"><p>4<\/p><\/td><td width=\"625\"><p>Z. Benkamra, M. Terbeche, M. Tlemcani, <em>\u201c Two Stage Design for Estimating the <\/em>\u00a0<em>Reliability of Series\/Parallel Systems\u00bb,\u00a0 Mathematics and Computers in Simulation 81 (2011) 2062\u20132072. <\/em><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378475411000322\"><em>https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378475411000322<\/em><\/a>\u00a0<\/p><\/td><\/tr><tr><td width=\"37\"><p>5<\/p><\/td><td width=\"625\"><p>Z. Benkamra, M. Terbeche, M. Tlemcani, <em>\u201c An Allocation Scheme for Estimation the <\/em>\u00a0<em>Reliability of a Parallel-Series System\u00bb,\u00a0 Advances in Decision Sciences, Volume 2012. <\/em><em>(2012), Article ID 289035, 14 pages, doi:10.1155\/2012\/28903<\/em>\u00a0\u00a0 <a href=\"https:\/\/www.emis.de\/journals\/HOA\/ADS\/Volume2012\/289035.abs.html\"><em>https:\/\/www.emis.de\/journals\/HOA\/ADS\/Volume2012\/289035.abs.html<\/em><\/a> \u00a0<\/p><\/td><\/tr><tr><td width=\"37\"><p>6<\/p><\/td><td width=\"625\"><p>Z. Benkamra, M. Terbeche, M. Tlemcani, <em>\u201cBayesian Sequential Estimation of the <\/em>\u00a0<em>Reliability of a Parallel-Series System \u00bb,\u00a0 <\/em>Applied Mathematics and Computation 219 (2013) 10842\u201310852. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0096300313005298\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0096300313005298<\/a>\u00a0\u00a0<\/p><\/td><\/tr><tr><td width=\"37\"><p>7<\/p><\/td><td width=\"625\"><p>Benkamra, Zohra; Terbeche, Mekki; Tlemcani, Mounir. Nearly second order three-stage design for estimating a product of several Bernoulli proportions. <em>J. Statist. Plann. Inference<\/em> 167 (2015), 90&#8211;101.. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378375815001111\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378375815001111<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>8<\/p><\/td><td width=\"625\"><p>Tami, Abdelkader; Tlemcani, Mounir.\u00a0 $H^2$ convergence of solutions of a biharmonic problem on a truncated convex sector near the angle $\\pi$. <em>Appl. Math.<\/em> 66 (2021), no. 3, 383&#8211;395.<\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.21136\/AM.2021.0284-19\">https:\/\/link.springer.com\/article\/10.21136\/AM.2021.0284-19<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>9<\/p><\/td><td width=\"625\"><p>Baara, Nac\u00e9ra; Diaz, Julien; Tlemcani, Mounir. Time domain analysis and localization of a non-local PML for dispersive wave equations. <em>J. Comput. Phys.<\/em> 445 (2021), Paper No. 110638, 18 pp. \u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0021999121005337\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0021999121005337<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>10<\/p><\/td><td width=\"625\"><p>Benkamra, Zohra; Terbeche, Mekki; Tlemcani, Mounir. Sequential design for estimating the product of two non-simultaneously zero means. <em>Journal of Statistics and Computer Science, <\/em>1(1) (2022). <a href=\"https:\/\/www.arfjournals.com\/image\/catalog\/Journals%20Papers\/JSCS\/2022\/No%201%20(2022)\/6_Zohra%20Benkamra.pdf\">https:\/\/www.arfjournals.com\/image\/catalog\/Journals%20Papers\/JSCS\/2022\/No%201%20(2022)\/6_Zohra%20Benkamra.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>11<\/p><\/td><td width=\"625\"><p>Salhi, Khedidja; Tlemcani, Mounir. Time-domain Green&rsquo;s function associated to the interface problem for the Klein-Gordon equation. <em>Wave Motion<\/em> 121 (2023), Paper No. 103181, 9 pp. \u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0165212523000677\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0165212523000677<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>12<\/p><\/td><td width=\"625\"><p>Basset, Sihem; Benkamra, Zohra; Tlemcani, Mounir. Penalty Sponge Layers (PSL) for hyperbolic systems. General formulation, well-posedness and stability. J. Comput. Phys. 510 (2024), Paper No. 113087, 17 pp. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S002199912400336X\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S002199912400336X<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>13<\/p><\/td><td width=\"625\"><p>Douah, Abdelaziz; Tami, Abdelkader; Tlemcani, Mounir. Sharp estimates of solution of an elliptic problem on a family of open non-convex planar sectors. Math. Methods Appl. Sci. 48 (2025), no. 2, 2529&#8211;2544. <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/mma.10449\">https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/mma.10449<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>14<\/p><\/td><td width=\"625\"><p>A Benkhaled, A Hamdaoui; General classes of shrinkage estimators for the multivariate normal mean with unknown variance: Minimaxity and limit of risks ratios; Kragujevac J. Math 46 (2) (2022), 193-213. <a href=\"https:\/\/imi.pmf.kg.ac.rs\/kjm\/en\/index.php?page=10.46793\/KgJMat2202.193B\">https:\/\/imi.pmf.kg.ac.rs\/kjm\/en\/index.php?page=10.46793\/KgJMat2202.193B<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>15<\/p><\/td><td width=\"625\"><p>H Abdenour, B Djamel; Asymptotic properties of risks ratios of shrinkage estimators; Hacettepe Journal of Mathematics and Statistics 44 (5) (2015), 1181-1195. <a href=\"https:\/\/dergipark.org.tr\/en\/pub\/hujms\/issue\/49537\/524506\">https:\/\/dergipark.org.tr\/en\/pub\/hujms\/issue\/49537\/524506<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>16<\/p><\/td><td width=\"625\"><p>D Benmansour, A Hamdaoui; Limit of the ratio of risks of James-Stein estimators with unknown variance; Far East J. Theo. Stat 36 (2011), 31-53.<\/p><p><a href=\"https:\/\/www.pphmj.com\/abstract\/6141.htm\">https:\/\/www.pphmj.com\/abstract\/6141.htm<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>17<\/p><\/td><td width=\"625\"><p>A Hamdaoui, A Benkhaled, M Terbeche; Baranchick-type estimators of a multivariate normal mean under the general quadratic loss function; Journal of Siberian Federal University. Mathematics &amp; Physics 2020, 13(5).<\/p><p>\u00a0<a href=\"https:\/\/elib.sfu-kras.ru\/handle\/2311\/135903\">https:\/\/elib.sfu-kras.ru\/handle\/2311\/135903<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>18<\/p><\/td><td width=\"625\"><p>A Hamdaoui, N Mezouar; Risks Ratios of shrinkage estimators for the multivariate normal mean; Journal of Mathematics and Statistics, Science Publication 13 (2), 77-87. <a href=\"https:\/\/thescipub.com\/pdf\/jmssp.2017.77.87.pdf\">https:\/\/thescipub.com\/pdf\/jmssp.2017.77.87.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>19<\/p><\/td><td width=\"625\"><p>Hamdaoui, A.; Almutiry, W.; Terbeche, M.; Benkhaled, A. Comparison of Risk Ratios of Shrinkage Estimators in High Dimensions. Mathematics 2022, 10, 52. <a href=\"https:\/\/doi.org\/10.3390\/math10010052\">https:\/\/doi.org\/10.3390\/math10010052<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>20<\/p><\/td><td width=\"625\"><p>A Hamdaoui, N Mezouar, D Benmansour, D Bouguenna; Examples of shrinkage estimators of the mean, dominating the maximum likelihood estimator in larges dimension; IOSR Journal of Mathematics 12 (3) (2016), 14-28.<\/p><p><a href=\"https:\/\/www.iosrjournals.org\/iosr-jm\/pages\/v12(3)Version-4.html\">https:\/\/www.iosrjournals.org\/iosr-jm\/pages\/v12(3)Version-4.html<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>21<\/p><\/td><td width=\"625\"><p>A Benkhaled, A Hamdaoui, W Almutiry, M Alshahrani, M Terbeche; A study of minimax shrinkage estimators dominating the James-Stein estimator under the balanced loss function; Open Mathematics 20 (1) (2016), 1-11.<\/p><p><a href=\"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/math-2022-0008\/html?srsltid=AfmBOooQq1O2xWduZbfscJ4pfQ_ZwHmXUoWQ3AyKvR3whk_i8Tq0e9kt\">https:\/\/www.degruyter.com\/document\/doi\/10.1515\/math-2022-0008\/html?srsltid=AfmBOooQq1O2xWduZbfscJ4pfQ_ZwHmXUoWQ3AyKvR3whk_i8Tq0e9kt<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>22<\/p><\/td><td width=\"625\"><p>A Benkhaled, A Hamdaoui, M Terbeche; Minimax shrinkage estimators and estimators dominating the James-Stein estimator under the balanced loss function; Eurasian Mathematical Journal 13 (2) (2022), 18-36.<\/p><p><a href=\"https:\/\/www.mathnet.ru\/links\/2c5b18cccc5ec93b374353accc91588e\/emj435.pdf\">https:\/\/www.mathnet.ru\/links\/2c5b18cccc5ec93b374353accc91588e\/emj435.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>23<\/p><\/td><td width=\"625\"><p>Hamdaoui, Abdenour. \u00ab\u00a0On shrinkage estimators improving the positive part of James-Stein estimator\u00a0\u00bb Demonstratio Mathematica, vol. 54, no. 1, 2021, pp. 462-473. <a href=\"https:\/\/doi.org\/10.1515\/dema-2021-0038\">https:\/\/doi.org\/10.1515\/dema-2021-0038<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>24<\/p><\/td><td width=\"625\"><p>A Hamdaoui, A Benkhaled, M Terbeche, On Minimaxity and Limit of Risks Ratio of James-Stein Estimator Under the Balanced Loss Function; Kragujevac Journal of Mathematics 47 (3) (2023), 459-479.<\/p><p><a href=\"https:\/\/imi.pmf.kg.ac.rs\/kjm\/pub\/kjom473\/kjm_47_3-10.pdf\">https:\/\/imi.pmf.kg.ac.rs\/kjm\/pub\/kjom473\/kjm_47_3-10.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>25<\/p><\/td><td width=\"625\"><p>A Hamdaoui, A Benkhaled, M Alshahrani, M Terbeche, W Almutiry, &#8230;; [Retracted] On Some Classes of Estimators Derived from the Positive Part of James\u2013Stein Estimator; Journal of Mathematics 2023 (1), 5221061.<\/p><p><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2023\/5221061\">https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2023\/5221061#<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>26<\/p><\/td><td width=\"625\"><p>Hamdaoui, A., Terbeche, M., &amp; Benkhaled, A. (2021). On shrinkage estimators improving the James-Stein estimator under balanced loss function. Pakistan Journal of Statistics and Operation Research, 17(3), 711-727. <a href=\"https:\/\/doi.org\/10.18187\/pjsor.v17i3.3663\">https:\/\/doi.org\/10.18187\/pjsor.v17i3.3663<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>27<\/p><\/td><td width=\"625\"><p>Ilham Abi-ayad, Tahar Mourid\u00a0; Parametric estimation for non recurrent diffusion processes\u00a0; Statistics &amp; Probability Letters\u00a0; Volume 141\u00a0; 2018\u00a0; Pages 96-102.<\/p><p><a href=\"https:\/\/doi.org\/10.1016\/j.spl.2018.05.024\">https:\/\/doi.org\/10.1016\/j.spl.2018.05.024<\/a>.<\/p><\/td><\/tr><\/tbody><\/table><p><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"\" width=\"533\" height=\"23\" \/><\/p><table width=\"690\"><tbody><tr><td width=\"23\"><p>1<\/p><\/td><td width=\"667\"><p>A. Tami, <a href=\"https:\/\/link.springer.com\/article\/10.21136\/AM.2019.0057-19\">The elliptic problems in a family of planar open sets<\/a>, Applications of Mathematics 64 (5), 485-499, <a href=\"https:\/\/link.springer.com\/article\/10.21136\/AM.2019.0057-19.\">https:\/\/link.springer.com\/article\/10.21136\/AM.2019.0057-19.<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>2<\/p><\/td><td width=\"667\"><p>A. Tami, M.Tlemcani, <a href=\"https:\/\/link.springer.com\/article\/10.21136\/AM.2021.0284-19\"><em>H<\/em><sup>2<\/sup>\u00a0Convergence of Solutions of a Biharmonic Problem on a Truncated Convex Sector Near the Angle \u03c0<\/a>, Applications of Mathematics 66 (3), 383-395, <a href=\"https:\/\/link.springer.com\/article\/10.21136\/AM.2021.0284-19\">https:\/\/link.springer.com\/article\/10.21136\/AM.2021.0284-19<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>3<\/p><\/td><td width=\"667\"><h3>A Douah, A Tami, M Tlemcani, <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/mma.10449\">Sharp estimates of solution of an elliptic problem on a family of open non\u2010convex planar sectors<\/a>, Mathematical Methods in the Applied Sciences 48 (2), 2529-2544. <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/mma.10449\">https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/mma.10449<\/a><\/h3><\/td><\/tr><tr><td width=\"23\"><p>4<\/p><\/td><td width=\"667\"><p>C Bouzar, R Chaili, <a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=fr&amp;user=VnZXQF4AAAAJ&amp;citation_for_view=VnZXQF4AAAAJ:u-x6o8ySG0sC\">Gevrey vectors of multi-quasi-elliptic systems<\/a>, Proceedings of the American Mathematical Society, 1565-1572, <a href=\"https:\/\/www.jstor.org\/stable\/1194123\">https:\/\/www.jstor.org\/stable\/1194123<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>5<\/p><\/td><td width=\"667\"><p>C Bouzar, R Chaili, <a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=fr&amp;user=VnZXQF4AAAAJ&amp;citation_for_view=VnZXQF4AAAAJ:u5HHmVD_uO8C\">Une g\u00e9n\u00e9ralisation du probl\u00e8me des it\u00e9r\u00e9s<\/a>, Archiv der Mathematik 76, 57-66, <a href=\"https:\/\/www.researchgate.net\/profile\/Chikh-Bouzar\/publication\/226585516_Une_generalisation_du_probleme_des_iteres\/links\/580b137808ae2cb3a5d34b59\/Une-generalisation-du-probleme-des-iteres.pdf\">https:\/\/www.researchgate.net\/profile\/Chikh-Bouzar\/publication\/226585516_Une_generalisation_du_probleme_des_iteres\/links\/580b137808ae2cb3a5d34b59\/Une-generalisation-du-probleme-des-iteres.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>6<\/p><\/td><td width=\"667\"><p><u>C Bouzar, R Chaili, <\/u><a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=fr&amp;user=VnZXQF4AAAAJ&amp;citation_for_view=VnZXQF4AAAAJ:d1gkVwhDpl0C\">Vecteurs Gevrey d&rsquo;op\u00e9rateurs diff\u00e9rentiels quasihomog\u00e8nes<\/a><u>, Bulletin of the Belgian Mathematical Society-Simon Stevin 9 (2), 299-310, <\/u><a href=\"https:\/\/projecteuclid.org\/search?term=Vecteurs+Gevrey+d%27op%C3%A9rateurs+diff%C3%A9rentiels+quasihomog%C3%A8nes\">https:\/\/projecteuclid.org\/search?term=Vecteurs+Gevrey+d%27op%C3%A9rateurs+diff%C3%A9rentiels+quasihomog%C3%A8nes<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>7<\/p><\/td><td width=\"667\"><p><u>C Bouzar, R Chaili,<\/u> <a href=\"https:\/\/arxiv.org\/pdf\/math\/0603321\">A Gevrey microlocal analysis of multi-anisotropic differential operators<\/a><u>, arXiv preprint math\/0603321<\/u><\/p><\/td><\/tr><tr><td width=\"23\"><p>8<\/p><\/td><td width=\"667\"><p>C Bouzar, R Chaili, <a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=fr&amp;user=VnZXQF4AAAAJ&amp;citation_for_view=VnZXQF4AAAAJ:W7OEmFMy1HYC\">R\u00e9gularit\u00e9 des vecteurs de Beurling de syst\u00e8mes elliptiques<\/a>, Maghreb Math. Rev 9 (1), 43-53, <a href=\"https:\/\/scholar.google.com\/scholar?hl=fr&amp;as_sdt=0,5&amp;cluster=15434922507622323956\">https:\/\/scholar.google.com\/scholar?hl=fr&amp;as_sdt=0,5&amp;cluster=15434922507622323956<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>9<\/p><\/td><td width=\"667\"><p>R Chaili, <a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=fr&amp;user=VnZXQF4AAAAJ&amp;citation_for_view=VnZXQF4AAAAJ:Tyk-4Ss8FVUC\">Systems of differential operators in anisotropic Roumieu classes<\/a>, Rendiconti del Circolo Matematico di Palermo 62 (2), 189-198, <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s12215-012-0101-7\">https:\/\/link.springer.com\/article\/10.1007\/s12215-012-0101-7<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>10<\/p><\/td><td width=\"667\"><p>R Chaili, T Mahrouz, <a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=fr&amp;user=VnZXQF4AAAAJ&amp;citation_for_view=VnZXQF4AAAAJ:YsMSGLbcyi4C\">Comparison of iterates of a class of differential operators in Roumieu spaces<\/a>, Publications de l&rsquo;Institut Mathematique 101 (115), 261-266, <a href=\"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=0350-13021715261C\">https:\/\/doiserbia.nb.rs\/Article.aspx?ID=0350-13021715261C<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>11<\/p><\/td><td width=\"667\"><p>Rachid Cha\u00efli, Mustapha Djilali, Iterate problem in Roumieu spaces of systems of interior and boundary differential opertors, Rendiconti. Sem. Mat. Univ. Pol. Torino, Vol. 76, 1, (2018), 41-54. <a href=\"https:\/\/seminariomatematico.polito.it\/rendiconti\/76-1\/41.pdf\">https:\/\/seminariomatematico.polito.it\/rendiconti\/76-1\/41.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>12<\/p><\/td><td width=\"667\"><p>M\u2019Hamed Bensaid, Rachid Cha\u00efli, On the non-triviality of anisotropic Roumieu Gelfand\u2013Shilov spaces and inclusion between them. Georgian Math. J., 31(2), 181-186, <a href=\"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/gmj-2023-2087\/html\">https:\/\/www.degruyter.com\/document\/doi\/10.1515\/gmj-2023-2087\/html<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>13<\/p><\/td><td width=\"667\"><p>M\u2019Hamed Bensaid, Rachid Cha\u00efli, Iterates of differential operators of Shubin type in anisotropic Roumieu Gelfand-Shilov spaces, Bull. Sci. Math. 192, (2024), 103404, <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0007449724000228\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0007449724000228<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>14<\/p><\/td><td width=\"667\"><p>Chiara Boiti, Rachid Cha\u00efli, Tayeb Mahrouz, Iterates of systems of operators in spaces of \u03c9-ultradifferentiable functions. ANN POL MATH, 118.2-3, (2016), 95-111. DOI: 10.4064\/ap4024-12-2016, <a href=\"https:\/\/arxiv.org\/abs\/1606.00222.\">https:\/\/arxiv.org\/abs\/1606.00222.<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>15<\/p><\/td><td width=\"667\">Mouffak Benchohra, Imene Medjadj, Juan J. Nieto, and P. Prakash: Global Existence for Functional Differential Equations with State-Dependent Delay, <em>Journal of Function Spaces and Applications<\/em>, vol. 2013, Article ID 863561, 7 pages, 2013. doi:10.1155\/2013\/863561. <a href=\"https:\/\/onlinelibrary.wiley.com\/journal\/9303\">https:\/\/onlinelibrary.wiley.com\/journal\/9303<\/a><\/td><\/tr><tr><td width=\"23\"><p>16<\/p><\/td><td width=\"667\">M.Benchohra and I. Medjadj: Global existence results for functional differential inclusions with delay, <em>Nonlinear Oscillations<\/em>Vol.17 No.2 (2014), 161-169. <a href=\"https:\/\/imath.kiev.ua\/~nosc\/web\/index.php\">https:\/\/imath.kiev.ua\/~nosc\/web\/index.php<\/a><\/td><\/tr><tr><td width=\"23\"><p>17<\/p><\/td><td width=\"667\"><p>M. Benchohra, J. Henderson and I. Medjadj:Global existence results for functional differential inclusions with State-Dependent Delay, <em>Mathematical Modelling and Analysis<\/em>, Volume: 19, Issue: 04, (2014), page 524-536(10.3846\/13926292.2014.959084.)<\/p><p><a href=\"https:\/\/journals.vilniustech.lt\/index.php\/MMA\">https:\/\/journals.vilniustech.lt\/index.php\/MMA<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>18<\/p><\/td><td width=\"667\"><p>M. Benchohra\u00a0and I. Medjadj,\u00a0Global existence\u00a0results for neutral functional differential equations with state-dependent delay,\u00a0<em>Differential Equations and Dynamical Systems<\/em>\u00a0Vol. 24 No. 2 (2016), 189-200. <a href=\"https:\/\/link.springer.com\/journal\/12591\">https:\/\/link.springer.com\/journal\/12591<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>19<\/p><\/td><td width=\"667\"><p>M.Benchohra\u00a0and I. Medjadj,\u00a0Global existence\u00a0results for second order neutral functional differential equations with state-dependent delay,\u00a0<em>Commentationes<\/em>\u00a0<em>Mathematicae Universitatis Carolinae<\/em>\u00a0Vol. 57 No. 2 (2016), 169-183. <a href=\"https:\/\/cmuc.karlin.mff.cuni.cz\/\">https:\/\/cmuc.karlin.mff.cuni.cz\/<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>20<\/p><\/td><td width=\"667\"><p>M.Benchohra,\u00a0 I. Medjadj, Measure of noncompactness and\u00a0\u00a0partial functional differential equations with state-dependent delay, <em>Differential Equations and Dynamical Systems<\/em>, (2018) 26:139-155 DOI 10.1007\/s12591-016-0325-7. <a href=\"https:\/\/link.springer.com\/journal\/12591\">https:\/\/link.springer.com\/journal\/12591<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>21<\/p><\/td><td width=\"667\"><p>M.Benchohra,\u00a0J. Henderson\u00a0and I. Medjadj, Measure of noncompactness and\u00a0\u00a0neutral functional differential equations with state-dependent delay, <em>Journal of Mathematics and Applications<\/em>. No 39, (2016), pp 23-45. <a href=\"https:\/\/jma.prz.edu.pl\/en\/\">https:\/\/jma.prz.edu.pl\/en\/<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>22<\/p><\/td><td width=\"667\"><p>E.Alaidarous and M. Benchohra and I. Medjadj, \u00a0Global existence results for neutral functional differential inclusions with state-dependent delay<em>,<\/em><em>\u00a0Ukr. Mat. Zh.<\/em> (2018). \u2013 vol.\u00a070, No\u00a011. &#8211; pp.\u00a01443-1456. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11253-019-01598-8\">https:\/\/link.springer.com\/article\/10.1007\/s11253-019-01598-8<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>23<\/p><\/td><td width=\"667\"><p>E.Alaidarous and M. Benchohra and I. Medjadj, \u00a0Global Existence Results for Second Order Functional Differential Equations with Delay, University of Nis, Serbia,Filomat 33:3 (2019), 773\u2013787. <a href=\"https:\/\/www.pmf.ni.ac.rs\/filomat\/\">https:\/\/www.pmf.ni.ac.rs\/filomat\/<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>24<\/p><\/td><td width=\"667\"><p>Rahla, Ryma Imene;\u00a0Serra-Capizzano, Stefano;\u00a0Tablino-Possio, Cristina. Spectral analysis of\u00a0$\\Bbb P_k$\u00a0finite element matrices in the case of Friedrichs-Keller triangulations via generalized locally Toeplitz technology.\u00a0<em>Numer. Linear Algebra Appl.<\/em>\u00a027\u00a0(2020), no. 4, e2302, 28 pp. <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/nla.2302\">https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/nla.2302<\/a><\/p><\/td><\/tr><tr><td width=\"23\"><p>25<\/p><\/td><td width=\"667\"><p>Paola Ferrari,Ryma Imene Rahla,Cristina Tablino-Possio,Skander Belhaj\u00a0andStefano Serra-Capizzano, Multigrid for\u00a0Q\u00a0k\u00a0Finite Element Matrices Using a (Block) Toeplitz Symbol Approach, <em>Mathematics<\/em>\u00a02020,\u00a0<em>8<\/em>(1), 5, <a href=\"https:\/\/www.mdpi.com\/2227-7390\/8\/1\/5\">https:\/\/www.mdpi.com\/2227-7390\/8\/1\/5<\/a>\u00a0 \u00a0\u00a0<\/p><\/td><\/tr><\/tbody><\/table><p><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"\" width=\"541\" height=\"26\" \/><\/p><table width=\"682\"><tbody><tr><td width=\"34\"><p>1<\/p><\/td><td width=\"648\"><p>Bekkara Samir; Zeghib Abdelghani, On Rigidity of generalized conformal structure. Geometriae Dedicata. DOI:10.1007\/s10711-017-0217-1 (Published online: 11 January 2017).<\/p><p>https:\/\/link.springer.com\/journal\/10711<\/p><\/td><\/tr><tr><td width=\"34\"><p>2<\/p><\/td><td width=\"648\"><p>Bekkara Samir; Zeghib Abdelghani, Singular Riemannian metrics, Sub-rigidity versus Rigidity. Math. Res. Lett.<strong> 18 <\/strong>(2011), <em>no. <\/em>06, 1203\u20131214.<\/p><p>https:\/\/intlpress.com\/journals\/journalList?id=1804416324302073857<\/p><\/td><\/tr><tr><td width=\"34\"><p>3<\/p><\/td><td width=\"648\"><p>Bekkara Samir; Messirdi Bekkai; Senoussaoui Abderrahmane,\u00a0 A class of generalized integral operators, Electronic Journal of Differential Equations, Vol. 2009(2009), No. 88, pp. 1-7.<\/p><p>https:\/\/ejde.math.txstate.edu\/<\/p><\/td><\/tr><tr><td width=\"34\"><p>4<\/p><\/td><td width=\"648\"><p>\u00a0Bennouar abdelmadjid, Ouakkas Sedik, Some constructions of biharmonic maps on the warped product Manifolds, cmuc, (2017) 58, 4, 481-500<\/p><p><a href=\"https:\/\/cmuc.karlin.mff.cuni.cz\/cmuc1704\/abs\/bennou.htm\">https:\/\/cmuc.karlin.mff.cuni.cz\/cmuc1704\/abs\/bennou.htm<\/a><\/p><\/td><\/tr><tr><td width=\"34\"><p>5<\/p><\/td><td width=\"648\"><p>Difi Sidahmed,\u00a0 Minimal translation factorable surfaces in hyperbolicspace. http:\/\/periodicos.ufv.br\/jcec\/Qualis<\/p><\/td><\/tr><tr><td width=\"34\"><p>6<\/p><\/td><td width=\"648\"><p>Difi Sidahmed, <a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=jeGFAWkAAAAJ&amp;citation_for_view=jeGFAWkAAAAJ:IjCSPb-OGe4C\">Translation-factorable surfaces in the 3-dimensional Euclidean and Lorentzian spaces satisfying\u2206 ri= \u03bbi, ri<\/a>.https:\/\/ejmaa.journals.ekb.eg\/<\/p><\/td><\/tr><tr><td width=\"34\"><p>7<\/p><\/td><td width=\"648\"><p>F.Hathout and M.H.Dida \u201cDiagonal Lift in the Tangent Bundle of Order Two and its<br \/>Applications\u201d Turk. J. Math., 30, (2006), 373-384.<\/p><\/td><\/tr><tr><td width=\"34\"><p>8<\/p><\/td><td width=\"648\"><p>M. H. Dida, F. Hathout and M. Djaa \u201cOn the geometry of the second order tangent<br \/>bundle with the diagonal lift metric\u201d Int. Journal of Math. Analysis, Vol. 3, 2009, no. 9,<br \/>443-456.<\/p><\/td><\/tr><tr><td width=\"34\"><p>9<\/p><\/td><td width=\"648\"><p>H.M. Dida and A. Ikemakhen \u201cA class of metrics on tangent bundles of pseudoRiemannian manifolds\u201d ARCHIVUM MATHEMATICUM (BRNO), Tomus 47 (2011), 245-<br \/>260.<\/p><\/td><\/tr><tr><td width=\"34\"><p>10<\/p><\/td><td width=\"648\"><p>Bouazza Kacimi, Fouzi Hathout, H. Mohamed Dida and Mokhtaria Barnoussi , ParaQuaternionic Structures on the 3-Jet Bundle. Mathematical Sciences and Applications<br \/>E-NOTES 4 (2) 37-46 (2016).<\/p><\/td><\/tr><tr><td width=\"34\"><p>11<\/p><\/td><td width=\"648\"><p>Hamou Mohammed Dida, Fouzi Hathout and Abdelhalim Azouz, On the geometry of<br \/>the tangent bundle with vertical rescaled metric. Commun. Fac. Sci. Univ. Ank. Ser. A1<br \/>Math. Stat. Volume 68, Number 1, Pages 222-235 (2019).<\/p><\/td><\/tr><tr><td width=\"34\"><p>12<\/p><\/td><td width=\"648\"><p>H. Mohammed Dida and Fouzi Hathout, Ricci Soliton on the tangent Bundle with<br \/>Semi-Symmetric Metric Connection. Bulletin of the Transilvania University of Bra\u015fov<br \/>Series III: Mathematics and Computer Science, Vol. 1(63), No. 2 &#8211; 2021, 37-52.<\/p><\/td><\/tr><tr><td width=\"34\"><p>13<\/p><\/td><td width=\"648\"><p>Mohamed H. Dida and Fouzi Hathout, Killing magnetic flux surfaces in Heisenberg<br \/>three-group. Facta Universitatis (NI\u0160) Ser. Math. Inform. Vol. 37, No 5 (2022), 975-<br \/>991.<\/p><\/td><\/tr><tr><td width=\"34\"><p>14<\/p><\/td><td width=\"648\"><p>Khadidja Derkaoui, Fouzi Hathout and Hamou Mohammed Dida, Slant curves and<br \/>Legendre curves in three-dimensional Walker manifolds. Asian-European Journal of<br \/>Mathematics (2023).<\/p><\/td><\/tr><tr><td width=\"34\"><p>15<\/p><\/td><td width=\"648\"><p>Dida H. M. &amp; F. Hathout. Semi-symmetric types on hyperbolic Kenmotsu<br \/>manifolds. General Letters in Mathematics, 14 (3) (2024), 63-74,<br \/>10.31559\/glm2024.14.3.3<\/p><\/td><\/tr><tr><td width=\"34\"><p>16<\/p><\/td><td width=\"648\"><p>N. Bekkouche, F. Hathout, Explicit formulas for flux surfaces and scalar flux<br \/>functions according to Killing magnetic vectors in SL(2,R), JJMS 17, No. 3, 363-<br \/>376 (2024 ). doi.org\/10.47013\/17.3.4<\/p><\/td><\/tr><tr><td width=\"34\"><p>17<\/p><\/td><td width=\"648\"><p>N. Benmansour and F. Hathout, Flux Surfaces According to Killing Magnetic<br \/>Vectors in Riemannian Space Sol3, Fund. J. of Math. and App. , Vol. 6, Issue 2,<br \/>(2023), 89-100. doi.org\/10.33401\/fujma.1163741<\/p><\/td><\/tr><tr><td width=\"34\"><p>18<\/p><\/td><td width=\"648\"><p>F. Hathout, A new class of curves generalizing helix and rectifying curves, Int. J. of Geo.,<br \/>11(4)(2022): 65-74.<\/p><\/td><\/tr><tr><td width=\"34\"><p>19<\/p><\/td><td width=\"648\"><p>M. Bekar, F. Hathout and Y. Yayli, Developable surfaces generated by using moving<br \/>frame, Journal of Science and Arts, Volume 22, Issues 2, pp. 413-438, (2022).<br \/>doi.org\/10.46939\/J.Sci.Arts-22.2-a15<\/p><\/td><\/tr><tr><td width=\"34\"><p>20<\/p><\/td><td width=\"648\"><p>M. Bekar, F. Hathout and Y. Yayli, Singularities of rectifying developable surface of<br \/>Legendre curves on UTS2, Inter. J. of Geometry Vol. 11 (2022), No. 4, 20 \u2013 33<\/p><\/td><\/tr><tr><td width=\"34\"><p>21<\/p><\/td><td width=\"648\"><p>BekarM., Hathout F., and Yayli Y. \u201cLegendre Curves and the Singularities of Ruled<br \/>Surfaces Obtained by Using Rotation Minimizing Frame\u201d. Ukrainian Mathematical<br \/>Journal, 73, 686\u2013700 (2021). doi.org\/10.1007\/s11253-021-01953-8<\/p><\/td><\/tr><tr><td width=\"34\"><p>22<\/p><\/td><td width=\"648\"><p>Kacimi, B., \u00d6zkan, M. &amp; Hathout, F. Bifoliated Homotopy Invariant and Metallic<br \/>Submersions. Mediterr. J. Math. 18, 163 (2021). doi.org\/10.1007\/s00009-021-01801-w<\/p><\/td><\/tr><tr><td width=\"34\"><p>23<\/p><\/td><td width=\"648\"><p>K.Derkaoui et F.Hathout, Explicit formulas for Killing magnetic curves in threedimensional Heisenberg group, Int. J. of Geo. Meth. in Modern Phy., Vol. 18, No. 09,<br \/>2150135 (2021). doi\/10.1142\/S0219887821501358<\/p><\/td><\/tr><tr><td width=\"34\"><p>24<\/p><\/td><td width=\"648\"><p>F.Hathout and Y.Yayli. Darboux vectors and the spherical indicatrix curves satisfyingthe<br \/>Tzitzeica condition in Minkowski space, Rom. J. of Math. and Computer Sc., 2018, 8(1):<br \/>7-16.<\/p><\/td><\/tr><tr><td width=\"34\"><p>25<\/p><\/td><td width=\"648\"><p>M Bekar, F Hathout, Y Yayli, N-Legendre and N-slant curves in the unit tangent bundle<br \/>of Minkowski surfaces, Asian-European J. of Math.,2018, 11 (01), 1850008<\/p><\/td><\/tr><tr><td width=\"34\"><p>26<\/p><\/td><td width=\"648\"><p>M Bekar, F Hathout, Y YAYLI, Tangent bundle of pseudo-sphere and ruled surfaces in<br \/>Minkowski 3-space, General Letters in Math, 2018, 5, 58-70<\/p><\/td><\/tr><tr><td width=\"34\"><p>27<\/p><\/td><td width=\"648\"><p>F.Hathout, M.Bekar and Y.Yayli, N-Legendre and N-Slant Curves in the Unit Tangent<br \/>Bundle of Surfaces. Kuwait Journal of Science, 44(3), 2017.<\/p><\/td><\/tr><tr><td width=\"34\"><p>28<\/p><\/td><td width=\"648\"><p>F Hathout, M Bekar, Y Yayli. Ruled surfaces and tangent bundle of unit 2-sphere, Int. J.<br \/>of Geo. Meth. in Modern Phy. 14 (10)(2017), 1750145<\/p><\/td><\/tr><tr><td width=\"34\"><p>29<\/p><\/td><td width=\"648\"><p>K. Djerfi, F. Hathout and B. Messirdi, Perturbation and Stability of the Signature<br \/>Operator on a Riemannian Manifold. Gen. Math. Notes, Vol. 12, No. 1, September 2012,<br \/>pp. 1-10.<\/p><\/td><\/tr><tr><td width=\"34\"><p>30<\/p><\/td><td width=\"648\"><p>F. Hathout and M. Djaa \u201cBasic signature and Applications\u201d Result.Math Result.Math. 54<br \/>(2009), 75\u201384<\/p><\/td><\/tr><tr><td width=\"34\"><p>31<\/p><\/td><td width=\"648\"><p><a href=\"https:\/\/scholar.google.fr\/citations?view_op=view_citation&amp;hl=fr&amp;user=nQccHA4AAAAJ&amp;citation_for_view=nQccHA4AAAAJ:9yKSN-GCB0IC\">Sur la g\u00e9om\u00e9trie de la singularit\u00e9 initiale des espaces-temps plats globalement hyperboliques<\/a>. M Belraouti<\/p><p>Annales de l&rsquo;Institut Fourier 64 (2), 457-466<\/p><p><strong>https:\/\/aif.centre-mersenne.org\/articles\/10.5802\/aif.2854\/<\/strong><\/p><\/td><\/tr><tr><td width=\"34\"><p>32<\/p><\/td><td width=\"648\"><p><a href=\"https:\/\/scholar.google.fr\/citations?view_op=view_citation&amp;hl=fr&amp;user=nQccHA4AAAAJ&amp;citation_for_view=nQccHA4AAAAJ:u-x6o8ySG0sC\">Asymptotic behavior of Cauchy hypersurfaces in constant curvature space\u2013times<\/a><\/p><p>M Belraouti Geometriae Dedicata 190 (1), 103-133<\/p><p>https:\/\/link.springer.com\/article\/10.1007\/s10711-017-0230-4?fromPaywallRec=false<\/p><\/td><\/tr><tr><td width=\"34\"><p>33<\/p><\/td><td width=\"648\"><p><a href=\"https:\/\/scholar.google.fr\/citations?view_op=view_citation&amp;hl=fr&amp;user=nQccHA4AAAAJ&amp;citation_for_view=nQccHA4AAAAJ:qjMakFHDy7sC\">Pseudo-Conformal actions of the M\u00f6bius group<\/a><\/p><p>M Belraouti, M Deffaf, Y Raffed, A Zeghib<\/p><p>Differential Geometry and its Applications 91, 102070<\/p><p>https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0926224523000967<\/p><\/td><\/tr><tr><td width=\"34\"><p>34<\/p><\/td><td width=\"648\"><p><a href=\"https:\/\/scholar.google.fr\/citations?view_op=view_citation&amp;hl=fr&amp;user=nQccHA4AAAAJ&amp;citation_for_view=nQccHA4AAAAJ:zYLM7Y9cAGgC\">Asymptotic behavior of Moncrief Lines in constant curvature space\u2010times<\/a><\/p><p>M Belraouti, A Mesbah, L Messaci<\/p><p>Bulletin of the London Mathematical Society<\/p><p>https:\/\/londmathsoc.onlinelibrary.wiley.com\/doi\/10.1112\/blms.70032<\/p><\/td><\/tr><\/tbody><\/table><div>\u00a0<\/div><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" 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\" alt=\"\" width=\"509\" height=\"27\" \/><\/p><div><table width=\"670\"><tbody><tr><td width=\"37\"><p>1<\/p><\/td><td width=\"633\"><p>K. Miloud Hocine, M. Benharrat, B. Messirdi, Left and right generalized Drazin invertible<\/p><p>operators. Linear and Multilinear Algebra, 63 (8) (2015), 1635-1648.<\/p><p><a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/03081087.2014.962534\">https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/03081087.2014.962534<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>2<\/p><\/td><td width=\"633\"><p>D. Ounadjela, K. Miloud Hocine, B. Messirdi, The Perturbation Classes Problem for Generalized<\/p><p>Drazin Invertible Operators I, Rend. Circ. Mat. Palermo. Ser. 2, 67 (2018) 159-172<\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s12215-017-0302-1\">https:\/\/link.springer.com\/article\/10.1007\/s12215-017-0302-1<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>3<\/p><\/td><td width=\"633\"><p>K. Miloud Hocine, Bekkai Messirdi, M. Benharrat, Left and Right Generalized Drazin Invertibility<\/p><p>of an Upper Triangular Operator Matrices with Application to Boundary Value Problems, Int. J.<\/p><p>Anal. Appl, 17 (1) (2019), 105-121<\/p><p><a href=\"https:\/\/etamaths.com\/index.php\/ijaa\/article\/view\/1605\">https:\/\/etamaths.com\/index.php\/ijaa\/article\/view\/1605<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>4<\/p><\/td><td width=\"633\"><p>M. Benharrat, K. Miloud Hocine, B. Messirdi, Left and Right Generalized Drazin Invertible<\/p><p>Operators and Local Spectral Theory, Proyecciones Journal of Mathematics, 38 (5) (2019),<\/p><p>897-919.<\/p><p><a href=\"https:\/\/www.scielo.cl\/scielo.php?pid=S0716-09172019000500897&amp;script=sci_arttext&amp;tlng=pt\">https:\/\/www.scielo.cl\/scielo.php?pid=S0716-09172019000500897&amp;script=sci_arttext&amp;tlng=pt<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>5<\/p><\/td><td width=\"633\"><p>\u00a0K. Miloud Hocine, Boundary Value Matrix Problems and Drazin Invertible Operators, Matematychni<\/p><p>Studii, 57 (1) (2022), 16-22.<\/p><p><a href=\"http:\/\/matstud.org.ua\/ojs\/index.php\/matstud\/article\/view\/169\">http:\/\/matstud.org.ua\/ojs\/index.php\/matstud\/article\/view\/169<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>6<\/p><\/td><td width=\"633\"><p>K. Miloud Hocine, Left and right Drazin invertibility of operator matrices, Khayyam Journal of<\/p><p>Mathematics, 10 (1) (2024), 31-40<\/p><p><a href=\"https:\/\/www.kjm-math.org\/article_196319.html\">https:\/\/www.kjm-math.org\/article_196319.html<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>7<\/p><\/td><td width=\"633\"><p>N.Khaldi, M.Benharrat, and B.Messirdi,On the spectral boundary value problemsand approximate controllability of linear systems, Rendiconti del Circolo Matematico di Palermo, Vol. No (2014)<\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s12215-014-0147-9\">https:\/\/link.springer.com\/article\/10.1007\/s12215-014-0147-9<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>8<\/p><\/td><td width=\"633\"><p>N.Khaldi, M.Benharrat, and B.Messirdi, A spectral approch for solving boundary value matrix problems: existence, uniqueness and application to symplectic elasticity. AdvancedResearch in Applied Mathematics, Vol. 6, Issue. 4,\u00a0 2014.<\/p><p>DOI:<a href=\"http:\/\/dx.doi.org\/10.5373\/jaram.2016.041314\">10.5373\/jaram.2016.041314<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>9<\/p><\/td><td width=\"633\"><p>N.Khaldi, M.Benharrat, and B.Messirdi, Linear Boundary-Value Problems Described by Drazin Invertible Operators, Mathematical Notes,Vol.101 No.6(2017), 994-999.<a href=\"https:\/\/link.springer.com\/article\/10.1134\/S0001434617050261\">https:\/\/link.springer.com\/article\/10.1134\/S0001434617050261<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>10<\/p><\/td><td width=\"633\"><p>N.Khaldi,and B.Messirdi, Stability of essential spectra of closed linear operators under T-compact equivalence and applications.Bulletin of Transilvania University of\u00a0 Brasov Serie III Mathematics, Informatics, Physics, vol.12(61), issue 1\u00a0 2019.<\/p><p><a href=\"https:\/\/webbut.unitbv.ro\/index.php\/Series_III\/article\/view\/1181\">https:\/\/webbut.unitbv.ro\/index.php\/Series_III\/article\/view\/1181<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>11<\/p><\/td><td width=\"633\"><p>Aymen Ammara , Chaimaa Bouchamaa , Aref Jeribia\u00a0, Some properties of extended eigenvalues for operators pair\u00a0, Filomat 37:6 (2023), 1927\u20131940<\/p><p><a href=\"https:\/\/doiserbia.nb.rs\/img\/doi\/0354-5180\/2023\/0354-51802306927A.pdf\">https:\/\/doiserbia.nb.rs\/img\/doi\/0354-5180\/2023\/0354-51802306927A.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>12<\/p><\/td><td width=\"633\"><p>Aymen Ammar, Chaimaa Bouchama, Aref Jeribi, PSEUDO ELLIPSOID SPECTRUM IN A RIGHT QUATERNIONIC HILBERT SPACE, Memoirs on Differential Equations and Mathematical Physics, Volume 93, 2024, 17\u201327<\/p><p><a href=\"http:\/\/www.jeomj.rmi.ge\/memoirs\/vol93\/vol93-2.pdf\">http:\/\/www.jeomj.rmi.ge\/memoirs\/vol93\/vol93-2.pdf<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>13<\/p><\/td><td width=\"633\"><p>K Bouazzaoui, M Aiboudi, SE Ahmed, Existence of Strong Solutions for NonlinearSystems of PDEsArising in Convective Flow, International Journal of Differential Equations<\/p><p><a href=\"https:\/\/doi.org\/10.1155\/2022\/7331913\">https:\/\/doi.org\/10.1155\/2022\/7331913<\/a><\/p><\/td><\/tr><tr><td width=\"37\"><p>14<\/p><\/td><td width=\"633\"><p>KB Djeffal, K Bouazzaoui, M Aiboudi An extension result of the Mixed Convection Boundary Layer flow over a vertical permeable surface embedded in a Porous Medium, International Journal of Mathematical and Computational Methods\u00a0,<\/p><p>Volume 5, 2020<\/p><p><a href=\"https:\/\/www.iaras.org\/iaras\/filedownloads\/ijmcm\/2020\/001-0002(2020).pdf\">https:\/\/www.iaras.org\/iaras\/filedownloads\/ijmcm\/2020\/001-0002(2020).pdf<\/a><\/p><\/td><\/tr><\/tbody><\/table><\/div><div>\u00a0<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u00a0 Publications Internationales: \u00a0 \u00a0 \u00a0 1 M. Tlemcani, \u201cA Two-Scale Asymptotic Analysis of a Time-Harmonic Scattering Problem with a Multi Layered Thin Periodic Domain\u201d, comm. In Comp. Phys (CiCP) <a href=\"https:\/\/www.univ-usto.dz\/labo\/lmsa\/publication\/\" class=\"read-more\">Lire la suite &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-168","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/pages\/168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/comments?post=168"}],"version-history":[{"count":19,"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/pages\/168\/revisions"}],"predecessor-version":[{"id":200,"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/pages\/168\/revisions\/200"}],"wp:attachment":[{"href":"https:\/\/www.univ-usto.dz\/labo\/lmsa\/wp-json\/wp\/v2\/media?parent=168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}