{"id":243,"date":"2022-05-20T12:04:51","date_gmt":"2022-05-20T10:04:51","guid":{"rendered":"https:\/\/web.umons.ac.be\/seco\/?page_id=243"},"modified":"2022-05-27T08:53:26","modified_gmt":"2022-05-27T06:53:26","slug":"download","status":"publish","type":"page","link":"https:\/\/web.umons.ac.be\/seco\/download\/","title":{"rendered":"Download"},"content":{"rendered":"
The MATMOL software can be downloaded as a global zip-file containing, (i) the Source Files, (ii) some Examples<\/p>\n
Please refer to this work using the references to the journal papers in the reference section of this website<\/span><\/strong><\/p>\n You can find here<\/a> the new matmol release<\/strong> (2018)<\/span><\/strong><\/p>\n Here one can find the Matlab\u00a9 codes (m-files) with numerical methods for solving Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs).<\/p>\n The ODE-methods involve classic integration schemes (e.g, Euler, Heun, Runge-Kutta-Fehlberg, Rosenbrock, \u2026) that can be used in addition to the standard Matlab\u00a9 integrators. For solving PDEs, different approaches have been included: (i) classic Finite Differences Methods (including Static and Dynamic Gridding techniques), (ii) Finite Elements Method, (iii) some Spectral Methods (as Proper Orthogonal Decomposition and Laplacian Spectral Decomposition) as well as (iv) some nonlinear operator techniques (Flux or Slope Limiters).<\/p>\n Here one can find, among others, the Matlab\u00a9 m-files for the examples used in [2].<\/p>\n These examples simulate the Burger’s equation and a tubular reactor with three different phases. Note that in order to be able to test these examples the Source Files have to be installed!<\/p>\n Here one can find, among others, the Matlab\u00a9 m-files for the benchmark examples used in [1].<\/p>\n The examples involve the Buckley-Leverett equations for an oil well, a dispersive jacketed tubular reactor and a fixed bed bioreactor.<\/p>\n The methods employed are based on (i) a Method Of Lines approach [2] and (ii) an Operator Splitting approach [3].<\/p>\n The different methods are implemented for the three examples as Matlab\u00a9 functions, and each time several algorithmic options can easily be selected\/modified by changing the function\u2019s arguments.<\/p>\n Hence, these files can not only serve as templates for practitioners when coding their own application, but they will also allow them to flexibly experiment with different algorithms and settings. Note that in order to be able to test these examples the source files have to be installed!<\/p>\nNew release<\/h3>\n
Source Files<\/h3>\n
<\/a> Link to the m files<\/p>\n
<\/a> Link to the PDF files<\/p>\n
Tutorial Examples<\/h3>\n
<\/a> Link to the m files<\/p>\n
<\/a> Link to the PDF file<\/p>\n
Benchmark Examples<\/h3>\n