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View All on GitHubRSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
AI Summary: The `rssn` project needs help validating the numerical stability and precision of its complex scientific algorithms. The goal is to gather contributions of high-fidelity ground truth tests for core numerical and symbolic algorithms. Contributors should select an algorithm, find a mathematical problem with a known analytic or high-precision numerical solution, and then write a corresponding test case.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
AI Summary: Two specific tests, `test_riccati_ode` and `test_check_analytic`, are intermittently failing or overflowing across different operating systems (Windows 11, Debian 13) and Rust versions (1.89-1.91). Despite previous attempts to fix these issues, which only reduced the failure rate, the tests still do not consistently pass as expected. The maintainer is currently collecting more data on the failure frequency.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.
RSSN is an open-source project building high-performance, safe, Rust-native alternatives to scientific computing libraries like NumPy/SymPy. Licensed under Apache 2.0, it promotes broad adoption, allowing seamless integration into open-source and proprietary projects.