cubic-spline | interpolate for X in a 2d array | Frontend Framework library
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interpolate for X in a 2d array
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QUESTION
I implemented a rather simple SPH simulation using a cubic-spline-kernel and a simple non-iterative pressure solver as described in this PDF in equation 9. I followed algorithm 1 of that paper (including gravity).
The resulting particle behaviour is certainly fluid-like (with quite some compressibility as is expected from such a simple pressure solver). However as you can see in this screenshot the particles are not evenly spread when in equilibrium, but instead arrange into small clusters of about 3 particle.
Is this normal behaviour ? It appears strange to me, so I wanted to make sure this is either correct or someone would have an idea what could be wrong here.
...ANSWER
Answered 2020-Jan-07 at 21:01The screenshot shows the so-called pairing instability, which is one of the most frequent instability problems in SPH computations.
Pairing instability is the consequence of the application of bell-shaped kernel functions with too large smoothing radii. Since polynomial kernel functions of at least third order have an infection point, particles, which are getting too close to each other, experience lower and lower repulsive forces and gradually stick together. This can be overcome by choosing a suitable smoothing radius leading to a rather optimal number of neighbors, which depends on the applied kernel function but usually is around 25 in 2D.
You can read about the pairing instability and other issues of SPH simulations here. Pairing instability is briefly discussed on page 9.
QUESTION
I am trying to evaluate points in a large piecewise polynomial, which is obtained from a cubic-spline. I am attempting to do this on a GPU and I am running into memory limitations.
As such, I would like to evaluate a piecewise polynomial in batches.
Original code:
...ANSWER
Answered 2017-Mar-03 at 00:42Helpful thread here, which instead talks about the Parallelization of Piecewise Polynomial Evaluation. This solution can be ported to GPU for batch processing.
QUESTION
I am trying to evaluate points in a large piecewise polynomial, which is obtained from a cubic-spline. This takes a long time to do and I would like to speed it up.
As such, I would like to evaluate a points on a piecewise polynomial with parallel processes, rather than sequentially.
Code:
...ANSWER
Answered 2017-Feb-28 at 06:58Use parfor
command for parallel loops. see here, also precompute z vector as z(j) = x(j:j+M-1)
and hcurrent in parfor
for speed up.
QUESTION
I read the article on https://www.value-at-risk.net/cubic-spline-interpolation/
I understand all but I don't know how I can get the values for the matrix:
I know that there is something like hi = hi+1 - hi
I visited several websites, read different explenations, but I never found out how exactly I come to this values in the matrix.
...ANSWER
Answered 2017-Jan-29 at 13:34The matrix is just system of equations encoded as matrix so it can be easily computed by inverse matrix.
For example second line of matrix (8,4,2,1,0,0,0,0)
after matrix multiplication means this:
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