We provide a few examples to show how to use <T>LAPACK. Each example has its own directory with separate build and description. They all assume that <T>LAPACK is installed.

This is the list of examples and brief descriptions:

• geqr2

  Compute the QR factorization of a matrix filled with random numbers.

• gemm

  Compute C - AB using matrices A, B and C.

• access_types

  Scale matrices using different access types.

• cwrapper_gemm

  Compute C - AB using matrices A, B and C with a code written in C.

• fortranModule_caxpy

  Compute c x + y using complex matrices x and y and a complex scalar c, with a code written in Fortran90.

• fortranModule_ssymm

  Compute C - AB using matrices A, B and C with a code written in Fortran90.

• mdspan

  Combine different matrix layouts from mdspan to compute C - A B using matrices A, B and C.

• eigen

  Compare the QR factorization from Eigen and <T>LAPACK. We use Eigen::Matrix as the data structure.

• create_float_library

  Create a static library with single precision from the <T>LAPACK library.

• extreme_interoperability

  Use <T>LAPACK with different data structures: std::mdspan, std::vector and Eigen::Matrix.