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* setup.py: separate fortran flags Avoid including fortran flags into c flags It fixes compilation with clang which does not know how to ignore gcc fortran flags and returns an error. * Update Changelog
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======== ASSIMULO ======== README ======= Assimulo is a Cython/Python based simulation package that allows for simulation of both ordinary differential equations of the form f(t,y), (explicit problems) and differential algebraic equations of the form f(t,y,yd), (implicit problems). Assimulo currently supports Explicit Euler, adaptive Runge-Kutta of order 4 and Runge-Kutta of order 4. It also wraps the popular SUNDIALS (https://computation.llnl.gov/casc/sundials/main.html) solvers CVode (for explicit problems) and IDA (for implicit problems). Hairer's (http://www.unige.ch/~hairer/software.html) codes Radau5, Rodas and Dopri5 is also available. CVode and IDA supports discontinuous systems of the form f(t,y,sw) and f(t,y,yd,sw) with event(root)-functions defined as g(t,y,sw) and g(t,y,yd,sw) where sw should be fixed during the integration. The package comes with a Problem specifications class and subclasses corresponding to the different problem, Implicit_Problem and Explicit_Problem. To define and solve a problem, first import the solver of choice and the appropriate (Implicit/Explicit)_Problem class. Then define your function, f and initial conditions which pass to the problem class constructor. Then create your solver, set the attributes (method, absolute/relative tolerance etc.) and use the simulate method to simulate. For more information about Assimulo, documentation tutorial etc, visit http://www.jmodelica.org/assimulo INSTALL See the INSTALL file or the installation page on http://www.jmodelica.org/assimulo. CONTRIBUTING For information about contributing, see https://github.com/modelon/contributing. CONTACT Homepage: http://www.jmodelica.org/assimulo Email: firstname.lastname@example.org
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