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
• Intel MKL

Supported Compilers

Compiler	Versions Tested
GCC	12, 13, 14
Clang	18
Visual Studio	2022

Obtaining the Source Code

The source code can be obtained from

    git clone https://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 ..
   

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.