False Position Method In Python | Numerical Methods

[@antekkalafior]

Love the video! Very clearly and professionally explained.

[@developerx962]

The doctor asked me to do it, but based on the estimated error, not the error, and it was resolved successfully. Thank you very much for this wonderful video, sir.😍

[@remziogultum6697]

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[@amenehameri]

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[@bramgriffioen5436]

Thank you !

[@developerx962]

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[@samramzi4639]

def False_Position_Method(func,a,b,error_accept): """ This function solves for an unknown root of non-linear funktion given the function, the initial root boundaries, and an acceptable level of error. Parameters ---------- func : The user defined function, witch needs to be entered as a string. a : The inital lower root boundray. b : The inital upper root boundray. error_accept : The user's acceptable level of error Returns ------- f : The root boundraies and the error at the final iteration. """ def f(x): f=eval(func) return f i=0 c_before=0 c=(a*f(b)-b*f(a))/(f(b)-f(a)) error=(c-c_before) while error > error_accept: c_after=(a*f(b)-b*f(a))/(f(b)-f(a)) if f(a)*f(b)>=0: print("No root multiple roots present, therefore, the bisection method will not work!") quit() elif f(c_after)*f(a)