math_f313 | Numerical Analysis course at BITS Pilani

by karkris41295 Python Version: Current License: No License

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kandi X-RAY | math_f313 Summary

math_f313 is a Python library. math_f313 has no bugs, it has no vulnerabilities and it has low support. However math_f313 build file is not available. You can download it from GitHub.

some practice codes written for Numerical Analysis course in college. multi_newton.py here is an interesting one, which uses the sympy library to solve for voltages in some complicated circuit (Exercise from Mark Newman's book on Computational Physics). This is done using a multiple variable version of the newton method for finding roots. The other codes are simpler root finding methods for single variable functions and there's one code which implements the LU-Decomposition on matrices.

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math_f313 has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

math_f313 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of math_f313 is current.

Quality

math_f313 has no bugs reported.

Security

math_f313 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

math_f313 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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math_f313 releases are not available. You will need to build from source code and install.

math_f313 has no build file. You will be need to create the build yourself to build the component from source.

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math_f313 Key Features

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math_f313 Examples and Code Snippets

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Vulnerabilities

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Install math_f313

You can download it from GitHub.
You can use math_f313 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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