Trilinos
Primary repository for the Trilinos Project
Install / Use
/learn @trilinos/TrilinosREADME
Trilinos

Website | Documentation | Mailing List | Packages
The Trilinos Project is an effort to develop algorithms and enabling technologies within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. A unique design feature of Trilinos is its focus on packages.
Documentation
-
Trilinos Configure, Build, Test, and Install Reference Guide
-
To ensure appropriate parties receive your issues, please direct issues by mentioning the Trilinos package owners. External users may not mention Github teams, but may mention individual owners instead.
-
For help with a particular package, see the website and accompanying documentation for that package. Links to these can be found down the right side of any page on the website and at the package website.
-
Sample build scripts for various platforms can be found in the sampleScripts directory. Please note that these sample scripts are only a starting point for you to develop a script that works for your own platform.
-
If you have questions, please submit an issue on the Trilinos repo GitHub Issues page.
License
Trilinos is licensed on a per-package basis. Most packages are now under a BSD license, some are published under the (L)GPL. Details can be taken from the documentation of each package. See COPYRIGHT, LICENSE, https://trilinos.github.io/license.html and individual package, directory and/or file headers for additional information.
Contributing
We appreciate your willingness to contribute to the Trilinos project. Please familiarize yourself with our contributing guidelines.
Related Skills
node-connect
344.1kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
96.8kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
344.1kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
344.1kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
