rssn 0.2.3

A comprehensive scientific computing library for Rust, aiming for feature parity with NumPy, SciPy, and SymPy.
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  The Rust Scientific, Symbolic and Numerical Computing
  Library (RSSN) Project
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Xinyu
    family-names: Yang
    email: Pana.Yang@hotmail.com
    affiliation: >-
      Jinan Zhensheng Middle School, Jinan 250100, Shandong,
      China
    orcid: 'https://orcid.org/0009-0007-2600-0948'
identifiers:
  - type: doi
    value: 10.6084/m9.figshare.31044715
    description: First Published on Figshare
  - type: url
    value: 'https://crates.io/crates/rssn'
    description: First Published on crates.io (Rust Package Registry)
  - type: url
    value: 'https://docs.rs/rssn'
    description: First Published on docs.io (Rust Package Docs Index)
repository-code: 'https://github.com/Apich-Organization/rssn'
url: 'https://apich-organization.github.io/rssn/'
repository: 'https://codeberg.org/Apich-Organization/rssn'
repository-artifact: 'https://github.com/Apich-Organization/rssn/releases'
abstract: >-
  This is the Rust Scientific, Symbolic and Numerical
  Computing Library (RSSN) Project source code archive. In
  this project, we explore the possibilities of using modern
  technology (like LLVM) and programming language (like
  Rust) to build computing tools for our research. Our main
  develop focus of the project are symbolic computing
  functionalities, along side modules for physics simulation
  functionalities and numerical functionalities. A
  significant portion of our research investigates how
  modern compiler technologies could have an impact on
  modernizing programming language and in the mean time
  maintain high performance. Special attention is also given
  to the pros and cons of LLM assistant coding and testing
  the boundary for its application. The project is still
  under active development and research findings are subject
  to updates. Community feedback and contributions are
  highly welcome.
keywords:
  - Computational complexity and computability
  - Mathematical physics not elsewhere classified
  - Physics
  - Computer Simulation/history
  - Physics/methods
  - Rust
  - Numerical Analysis
  - Optimization
  - Physics Simulation
  - Scientific Computing
  - Symbolic Mathematics
  - Advanced Algebras
license: Apache-2.0
commit: 6da1b54e4383f8af0c1057d7bf76eb05787c33aa
version: v0.2.3
date-released: '2026-01-17'