

{"id":214,"date":"2017-11-28T16:04:31","date_gmt":"2017-11-28T15:04:31","guid":{"rendered":"https:\/\/project.inria.fr\/bendali\/?page_id=214"},"modified":"2017-12-11T02:33:12","modified_gmt":"2017-12-11T01:33:12","slug":"poirier","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/bendali\/program\/poirier\/","title":{"rendered":"Jean-Ren\u00e9 Poirier"},"content":{"rendered":"<p>LAPLACE-INP\/ENSEEIHT<\/p>\n<h2>Hierarchical Matrices applied to Maxwell equations<\/h2>\n<p>In this work we will present some results of hierarchical matrices for solving Maxwell&#8217;s equations applied respectively on electrostatic or magnetostatic applications , electromagnetism (EFIE case) and optics.<\/p>\n<p>The first case will present a comparison between ACA, HCA and FMM. In the second part we will compare HCA and ACA for SER problems and study performances of direct and iterative resolution with H-LU preconditionning.<\/p>\n<p>In the last application, photonic crystal fiber, ACA and principles of H-Matrices will be applied on the case of a block matrix with  some sparse blocks and some full blocks compressed by ACA. The non linear solution of PCF implies this linear system solution at each step.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>LAPLACE-INP\/ENSEEIHT Hierarchical Matrices applied to Maxwell equations In this work we will present some results of hierarchical matrices for solving Maxwell&#8217;s equations applied respectively on electrostatic or magnetostatic applications , electromagnetism (EFIE case) and optics. The first case will present a comparison between ACA, HCA and FMM. In the second\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/bendali\/program\/poirier\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":248,"featured_media":0,"parent":68,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-214","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/pages\/214","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/users\/248"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/comments?post=214"}],"version-history":[{"count":3,"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/pages\/214\/revisions"}],"predecessor-version":[{"id":321,"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/pages\/214\/revisions\/321"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/pages\/68"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/bendali\/wp-json\/wp\/v2\/media?parent=214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}