Smolyak | Efficient implementations of Smolyak 's algorithm | Computer Vision library

 by   EconForge Python Version: Current License: Non-SPDX

kandi X-RAY | Smolyak Summary

kandi X-RAY | Smolyak Summary

Smolyak is a Python library typically used in Artificial Intelligence, Computer Vision applications. Smolyak has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Smolyak has a Non-SPDX License. You can download it from GitHub.

Efficient implementations of Smolyak's algorithm for function approxmation in Python and Julia. Following Julia convention, the main Julia code is in the directory src/ and the tests are in the directory test/. Following Python convention, the main Python code is in the directory smolyak/. Following both Julia and Python convention the documentation is found in the doc/. The goal of this project is to write a consistent and interface for both Python and Julia, which would allow us to have a single documentation suite. There may be cases where this is not possible, in which case any differences between the two implementations will be documented in separate files for each language.
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            kandi-support Support

              Smolyak has a low active ecosystem.
              It has 25 star(s) with 16 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Smolyak is current.

            kandi-Quality Quality

              Smolyak has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Smolyak has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Smolyak releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Smolyak saves you 1540 person hours of effort in developing the same functionality from scratch.
              It has 3429 lines of code, 261 functions and 22 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Smolyak and discovered the below as its top functions. This is intended to give you an instant insight into Smolyak implemented functionality, and help decide if they suit your requirements.
            • Builds a grid of points
            • Return indices of indices that are within a given range
            • Generate the set of values from the nested sequence
            • Generate the amino acid chain
            • Get documentation for an object
            • Make the index of the block
            • Processes a single file
            • Get the name and docstring of the class
            • Boolean operator
            • Prints a print statement
            • Handle import module
            • Handle GET attribute
            • Handle return
            • Bitor
            • Handles with statement
            • Augment assignment
            • Handle an ifExp
            • Assign a tuple
            • Slice slice
            • Handle assignments
            • Handle from import
            • Defines a function definition
            • Handle test
            • Handle exceptions
            • Call function
            • Handle tokens
            Get all kandi verified functions for this library.

            Smolyak Key Features

            No Key Features are available at this moment for Smolyak.

            Smolyak Examples and Code Snippets

            No Code Snippets are available at this moment for Smolyak.

            Community Discussions

            QUESTION

            Working in ampl with sets containing the same number various times
            Asked 2019-Sep-13 at 13:55

            I am doing an optimization problem. For that, some param have to take different values. I am using a Smolyak reduced grid. I have 9 realizations. I have constructed a code which includes in each set the values that the param has to take in each realization. Unfortunately, these param take the same values in various realizations, therefore making my code useless. I need a way to make ampl accept said sets.

            I haven't found anything useful in ampl's book in the chapters dedicated to the sets https://ampl.com/BOOK/CHAPTERS/08-sets1.pdf https://ampl.com/BOOK/CHAPTERS/09-sets2.pdf

            However I found this question, AMPL error, duplicate number for set, in which something similar happens. However, if I copy the code, the error remains.

            This is where I define the sets, and the error occurs

            ...

            ANSWER

            Answered 2019-Sep-13 at 13:55

            Unless there is some reason that you specifically need these to be sets, you're almost certainly better off handling them as indexed params.

            Source https://stackoverflow.com/questions/57911238

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

            Vulnerabilities

            No vulnerabilities reported

            Install Smolyak

            You can download it from GitHub.
            You can use Smolyak like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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          • HTTPS

            https://github.com/EconForge/Smolyak.git

          • CLI

            gh repo clone EconForge/Smolyak

          • sshUrl

            git@github.com:EconForge/Smolyak.git

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