Scilib

Scilib provides a C++ library for linear algebra and scientific computing. BLAS and LAPACK are used for fast numerical performance. Currently, OpenBLAS and Intel MKL are supported.

Features

• Multidimensional dense arrays (row-major or column-major storage order; default is row-major)
• Linear algebra methods
• Integration methods
• Simple solver for initial value problems (Dormand-Prince)
• Common statistical methods
• Mathematical constants, metric prefixes, physical constants, and conversion factors

Licensing

Scilib is released under the MIT license.

Usage of Third Party Libraries

This project makes use of the following third-party libraries:

• GoogleTest
• mdspan
• stdBLAS
• Microsoft.GSL

Please see their websites for details regarding licensing terms.

Quick Start

Requirements

• CMake 3.13
• OpenBLAS (Intel MKL is recommended)

Supported Compilers

Compiler	Versions Tested
GCC	9, 10
Clang	10, 11, 12
Visual Studio	VS2019, VS2022
XCode	13.0
Intel	2022

Obtaining the Source Code

The source code can be obtained from

    git clone git@github.com:stigrs/scilib.git

Building the Software

These steps assumes that the source code of this repository has been cloned into a directory called scilib.

1. Create a directory to contain the build outputs:

    cd scilib
    mkdir build
    cd build
   

2. Configure CMake to use the compiler of your choice (you can see a list by running cmake --help):

    cmake -G "Visual Studio 17 2022" ..
   

3. Build the software (in this case in the Release configuration):

    cmake --build . --config Release
   

4. Run the test suite:

    ctest -C Release
   

5. Install the software:

    cmake --build . --config Release --target install
   

   All tests should pass, indicating that your platform is fully supported.