{"id":229,"date":"2022-05-20T11:56:04","date_gmt":"2022-05-20T09:56:04","guid":{"rendered":"https:\/\/web.umons.ac.be\/seco\/?page_id=229"},"modified":"2022-05-20T11:58:19","modified_gmt":"2022-05-20T09:58:19","slug":"matmol","status":"publish","type":"page","link":"https:\/\/web.umons.ac.be\/seco\/matmol\/","title":{"rendered":"Matmol"},"content":{"rendered":"

\"Matmol<\/p>\n

\"logo_umons\"<\/p>\n

Many physical and chemical processes are distributed parameter systems, i.e., systems in which state variables depend on several independent variables (such as time and space), and which are described by sets of nonlinear partial differential equations<\/a> (PDEs).<\/p>\n

The method of lines<\/a> (MOL) is probably the most widely used approach to the solution of evolutionary PDEs, and the objective of this web site is to report on the development of a MATLAB based MOL toolbox.<\/p>\n

Basically, the MOL proceeds in two separate steps:<\/p>\n

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