![]() However, the winner, in my opinion, is Mathematica with it's simple structure. It isn't very fast, and writing everything takes some time, but it was still faster than solution I saw for Matlab or C++. For simple cases one can use SciPy's build-in function ode from class integrate ( documentation). Writing basic script in Python to do that isn't hard. My work involves solving and manipulating many ordinary differential equations (ODE) which quite often are coupled. It is like with chilli pepper - everyone knows that it is hot, but you unless you taste it you won't really understand it. I knew it as well, but now I'm actually observing first hand how powerful it really is. These Differential Equation Solving with DSolve tutorials will be useful in acquiring a basic knowledge of DSolve and also serve as a ready reference for information on more advanced topics.Probably many know that Wolfram Mathematica is a great tool. This is provided in the tutorials on ODEs, PDEs, DAEs, and boundary value problems (BVPs).
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