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please delete me


May
17
comment What does Binomial return for non-integer arguments?
@Szabolcs cheers for the edit and answer!
May
17
accepted What does Binomial return for non-integer arguments?
May
17
awarded  Commentator
May
17
comment What does Binomial return for non-integer arguments?
I agree @Szabolcs, my question wasn't very clear. I'm satisfied by knowing that the Gamma function is used for non-integer input as pointed out by both J.M. and as stated in the documentation -- I honestly didn't read the documentation carefully enough.
May
17
asked What does Binomial return for non-integer arguments?
Apr
19
accepted Plotting Piecewise function, ExclusionsStyle not shown completely
Apr
18
comment Plotting Piecewise function, ExclusionsStyle not shown completely
@Spawn1701D Cheers! Can you provide this as an answer so I can accept it?
Apr
18
asked Plotting Piecewise function, ExclusionsStyle not shown completely
Feb
3
comment Detect highest order of derivative in expression?
Terrific thank you so much!
Feb
3
accepted Detect highest order of derivative in expression?
Feb
3
asked Detect highest order of derivative in expression?
Nov
14
revised Inconsistent boundary and initial conditions: BC ignored altogether
deleted 4 characters in body
Nov
14
revised Inconsistent boundary and initial conditions: BC ignored altogether
added 1180 characters in body
Nov
14
comment Inconsistent boundary and initial conditions: BC ignored altogether
Thank you @ruebenko and I understand what you're saying about the boundary condition at x==length. However, I don't understand how NDSolve manages to ignore the boundary condition in the origin altogether without running into trouble. If I comment out the left b/c, NDSolve complains: NDSolve::bcart: Warning: An insufficient number of boundary conditions have been specified for the direction of independent variable x. Artificial boundary effects may be present in the solution.
Nov
13
asked Inconsistent boundary and initial conditions: BC ignored altogether
Jun
24
awarded  Nice Question
Apr
29
comment What do the options of SmoothKernelDistribution do?
Forget what I said about overlapping kernels ... of course that shouldn't happen. However, if I choose a simple kernel such as "Rectangular", why would I want those to be interpolated individually with some polynomial?
Apr
29
comment What do the options of SmoothKernelDistribution do?
Thanks very much for pointing out this other function and the thing about placing a kernel at each data point. Using the latter option clarified things for me a little and I'll make sure to check out what this other function does.
Apr
29
comment What do the options of SmoothKernelDistribution do?
InterpolationPoints: This option seems to pertain to how often each individual kernel is evaluated, i.e. each kernel is interpolated (somehow ... possibly with splines?) and then the "y-value" where two neighboring kernels overlap are somehow averaged? MaxRecursion: I don't understand why we need to further smoothen the resulting interpolation function ... I mean we already specified everything by saying where we want kernels to centered and how finely we want to interpolate those individually?
Apr
29
comment What do the options of SmoothKernelDistribution do?
Thank you for your explanations! What I am still a little puzzled about is the fact that Mathematica does all this and gives you the opportunity to change some numbers, yet there are still things that you as a user might want to have control over: MaxMixtureKernels: Each (symmetric) kernel is going to be centred on some value. While this option allows you to change the total number of kernels, we still don't know where these are actually placed (I know the help function says uniformly spaced but what exactly does that mean for your specific set of data?).