Exponential

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The exponential function is e x where e is a mathematical constant called Euler s number approximately 2 718281 This value has a close mathematical relationship with pi and the

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Second exponential window does not need the parameter std only gaussian window needs Last the tau should be provided to mean although mean does not respect the win type

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How do you raise m to the power of n I ve searched for this everywhere What I found was that writing m n should work but it doesn t I m using bin sh

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I want to calculate the exponential moving average EMA for a set of price data using Pandas I use the formula from this article as well as the test data from its example calculation to

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Can you also post the function you are using for the exponential decay The one you are passing in nls

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Exponential backoff is beneficial when the cost of testing the condition is comparable to the cost of performing the action such as in network congestion if the cost of testing the condition

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I have two NumPy arrays x and y When I try to fit my data using exponential function and curve fit SciPy with this simple code usr bin env python from pylab import from scipy optimize imp

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If t is a matrix you need to use the element wise multiplication or exponentiation Note the dot

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2 I don t know python but I do know a simple way to non iteratively estimate the coefficients of exponential decay with an offset given three data points with a fixed difference in their independent