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Showing posts with the label Odeint
Using Python Built-in Functions For Coupled Odes

Using Python Built-in Functions For Coupled Odes

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THIS PART IS JUST BACKGROUND IF YOU NEED IT I am developing a numerical solver for the Second-Order… Read more Using Python Built-in Functions For Coupled Odes
Python's Multiprocessing: Speed Up A For-loop For Several Sets Of Parameters, "apply" Vs. "apply_async"

Python's Multiprocessing: Speed Up A For-loop For Several Sets Of Parameters, "apply" Vs. "apply_async"

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I would like to integrate a system of differential equations using a lot of different parameter com… Read more Python's Multiprocessing: Speed Up A For-loop For Several Sets Of Parameters, "apply" Vs. "apply_async"
Solving System Of Odes In Python; Excess Work Done On This Call

Solving System Of Odes In Python; Excess Work Done On This Call

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I am trying to solve a system of coupled ODEs in python for different potentials. It works for a pa… Read more Solving System Of Odes In Python; Excess Work Done On This Call
Pass Args For Solve_ivp (new SciPy ODE API)

Pass Args For Solve_ivp (new SciPy ODE API)

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For solving simple ODEs using SciPy, I used to use the odeint function, with form: scipy.integrate.… Read more Pass Args For Solve_ivp (new SciPy ODE API)