I\'m trying to program an ODE solver (similar to ODE45 in MATLAB). I want this solver to be \"stand alone\", ie I can pass it the name of the ODE I want it to solve, and it runs the code for that spec
Suppose in matlab the following: [t, x, te, xe, ie] = ode15s(@myfunc, [tStart开发者_高级运维 tFinal], x0, odeset(\'Events\', @events));
More specifically, i\'m interested in 8th order Dormand开发者_如何学JAVA-Prince embedded method, it\'s based on Runge-Kutta, and stiff equations.
Here\'s a loop that I\'ve tried with std::vector<double> and with plain old double*. For 10 million elements, the vector version consistently runs in about 80% of the time that the double* vers
I am looking for a Python package that will allow me to plot something similar to the Java applet seen below:
So we try to solve simple ODE. We use text book (warning - russian). This is code presented as sample in book (page 18):
I\'m currently trying to use SciPy\'s integrate.ode package to solve a pair of first-order ODEs that are coupled: say, the Lotka-Volterra predator-prey equation. However, this means during the integra
I\'m relatively new to python and scipy, being a convert from MATLAB. I was doing a quick test of the odeint function in scipy.integrate, and came across this potential bug. Consider the following sni
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How can I find the intersection poi开发者_C百科nts between the solution of a 3rd order ODE and a line y=x?
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