erfc | Complementary error function | Architecture library
kandi X-RAY | erfc Summary
kandi X-RAY | erfc Summary
The [complementary error function][complementary-error-function] is defined as. . The [complementary error function][complementary-error-function] can also be expressed using Craig’s formula. .
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QUESTION
I have this equation in java,
double BER = (Erf.erfc(Math.sqrt(3 * CodedEb_No) * Math.sin(Math.PI/8)))/3;
Erf.erfc is from org.apache.commons.math3.special.Erf
I don't know what is CodedEb_No, but BER is 1E-7. How can I calculate CodedEb_No? I have a hint that I need to use erfcInv() from org.apache.commons.math3.special.Erf. But, since the rest of the values are also part of erfc function, I am bit confused on how to approach this. Can someone help me with this?
...ANSWER
Answered 2021-May-28 at 09:32I think this is more of a maths than programming question after a very quick look and not testing, I guess you want to rearrange this function to make CodedEb_No
the subject. I think that would be
QUESTION
I am computing value of normal distribution cdf in two ways:
- Using scipy library:
ANSWER
Answered 2021-Mar-16 at 10:17Cdf of the multivariate_normal
takes a covariation matrix as a parameter, where dispersions (but not deviation) should be on the diagonal. So there is a correct way of using the cdf:
QUESTION
I have a function which I would like to integrate for x
between -Inf
and Inf
. I'm using the function integrate
in R. However, I do get an error saying Non-finite function value
.
ANSWER
Answered 2020-Nov-05 at 11:17There are a couple of things to point out here. Firstly, your function needs to have as its first argument the variable over which you want to integrate, so you need to rewrite your function as:
QUESTION
So i want to calculate integral of exp(-ax^2-bx-c)
assuming that a>0, b>0, c>0
using sympy.
So i done this:
...ANSWER
Answered 2020-Oct-19 at 17:05The sympy documentation is confusing about this. You are trying to use the "new" assumptions system which is still experimental and is not actually used internally by sympy. You need to use the core assumptions system in which assumptions are set when creating symbols:
QUESTION
I tried asking this question before and rightfully was informed I need to provide a fully working example so others can reproduce my result and then give guidance.
Here is a shortened version of my code for parsing the file. The point of readFileToStrings
is to save the file into seperate strings based on the patterns [Atoms]
, [GTO]
, and [MO]
.
ANSWER
Answered 2020-Jun-25 at 22:20There is an issue here:
QUESTION
I am trying to fit an exponentially modified gaussian function to some data. Data provided at top.
I have the following code:
...ANSWER
Answered 2019-Nov-11 at 16:31From the scatterplots, there appear to be two separate overlapping peaks in the data. Here is a graphical Python fitter using your data and fitting to the sum of two Gaussian peaks, with initial parameter estimates for curve_fit() supplied by scipy's Differential Evolution genetic algorithm module. That module uses the Latin Hypercube algorithm to ensure a thorough search of parameter space, requiring bounds within which to search. In this example those bounds are taken from the maximum an minimum data values, with 0.0 used as the lower bounds for parameters that I suspect should be positive only.
QUESTION
I am trying to find the correlation function of the following stochastic process: where beta and D are constants and xi(t) is a Gaussian noise term.
After simulating this process with the Euler method, I want to find the auto correlation function of this process. First of all, I have found an analytical solution for the correlation function and already used the definition of correlation function to simulate it and the two results were pretty close (please see the photo, the corresponding code is at the end of this post).
(Figure 1)
Now I want to use the Wiener-Khinchin theorem (using fft) to find the correlation function by taking the fft of the realizations, multiply it with its conjugate and then find take the ifft to get the correlation function. But obviously I am getting results that are way off the expected correlation function, so I am pretty sure there is something I misunderstood in the code to get this wrong results..
Here is my code for the solution of the stochastic process (which I am sure it is right although my code might be sloppy) and my attempt to find the autocorrelaion with the fft:
...ANSWER
Answered 2019-May-08 at 16:59There are two issues with the code that I can see.
As francis said in a comment, you need to subtract the mean from your signal to get the autocorrelation to reach zero.
You plot your autocorrelation function with a wrong x-axis values.
v_data
is defined with:
QUESTION
I am converting a C++ code to python code using SWIG on MAC OS. I used SWIG before but now I have some bug that I did not succeed to manage. So for using SWIG, I created a file RBergomi.i and applied the following commands
swig -c++ -python RBergomi.i
g++ -O2 -fPIC -c -std=c++11 RBergomi_wrap.cxx -I/Users/.../anaconda/include/python2.7
g++ -std=c++11 -shared RBergomi_wrap.o -o RBergomi.so
but I get this error
"ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 "
I tried to look for the issue and it seems that the error is coming from using std::accumulate, which to use I need to call "numeric" header and then I have the issue. if I remove the header "numeric" I do not have the previous error anymore but accumulate is not known. Below the code of my RBergomi.cpp file
...ANSWER
Answered 2019-Feb-12 at 05:15I solved the issue by using -lpython -dynamiclib to adress the linking issue so the code I used it is
QUESTION
i run jq v1.6 on Windows 10,
my input is "2009-12-20 08:00:00" and i want to get the Day of Week.
my test filter is ("2009-12-20 08:00:00" | sub(" "; "T") + "Z" | fromdate | gmtime)
but all i get is an error:
jq: error: strptime/1 not implemented on this platform
Tried so many things, but nothing worked.
builtins
returns the relevant functions:
ANSWER
Answered 2019-Jan-08 at 22:53Here are two alternatives for solving the problem on a Windows 10 machine:
Install Linux for WindowsThen, once jq has been installed (e.g. using linuxbrew), you could use this filter:
QUESTION
I'm parsing a vector of tokens, each of enum type. This means I get a lot of code like:
...ANSWER
Answered 2018-Nov-10 at 14:35RFC #2497 has not been implemented yet. The GitHub issue you linked is only for describing how to deal with the ambiguity.
To enable the second interpretation in the previous section a warning must be emitted in Rust 2015 informing the user that [...] will both become hard errors, in the first version of Rust where the 2018 edition is stable, without the let_chains features having been stabilized.
So no, you cannot use the syntax yet, but instead use tuples as a workaround, as you already did.
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