cubic-spline | interpolate for X in a 2d array | Frontend Framework library

 by   morganherlocker TypeScript Version: 3.0.3 License: MIT

kandi X-RAY | cubic-spline Summary

kandi X-RAY | cubic-spline Summary

cubic-spline is a TypeScript library typically used in User Interface, Frontend Framework, React, Numpy applications. cubic-spline has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

interpolate for X in a 2d array
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            kandi-support Support

              cubic-spline has a low active ecosystem.
              It has 83 star(s) with 22 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 7 have been closed. On average issues are closed in 620 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cubic-spline is 3.0.3

            kandi-Quality Quality

              cubic-spline has 0 bugs and 0 code smells.

            kandi-Security Security

              cubic-spline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              cubic-spline code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              cubic-spline is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cubic-spline releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            cubic-spline Key Features

            No Key Features are available at this moment for cubic-spline.

            cubic-spline Examples and Code Snippets

            No Code Snippets are available at this moment for cubic-spline.

            Community Discussions

            QUESTION

            Smoothed Particle Hydrodynamics: Weird clustering of particles. Is that normal?
            Asked 2020-Jan-07 at 21:01

            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 21:01

            The 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.

            Source https://stackoverflow.com/questions/58589236

            QUESTION

            Batchwise evaluation of piecewise polynomials on GPU
            Asked 2017-Mar-03 at 00:42

            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 00:42

            Helpful thread here, which instead talks about the Parallelization of Piecewise Polynomial Evaluation. This solution can be ported to GPU for batch processing.

            Source https://stackoverflow.com/questions/42215912

            QUESTION

            Parallelization of Piecewise Polynomial Evaluation
            Asked 2017-Mar-02 at 15:08

            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 06:58

            Use 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.

            Source https://stackoverflow.com/questions/42498490

            QUESTION

            Calculate matrix in cubic spline interpolation
            Asked 2017-Jan-29 at 13:34

            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 13:34

            The 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:

            Source https://stackoverflow.com/questions/41920162

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install cubic-spline

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • npm

            npm i cubic-spline

          • CLONE
          • HTTPS

            https://github.com/morganherlocker/cubic-spline.git

          • CLI

            gh repo clone morganherlocker/cubic-spline

          • sshUrl

            git@github.com:morganherlocker/cubic-spline.git

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