Add support for Low-Level Singular Value Decomposition via LAPACK

This project adds LAPACK bindings and JavaScript implementations for singular value decomposition in stdlib, with the main focus on the dgesvd routine (singular value decomposition (SVD) for GE matrices) along with several dependency routines. My plan is to implement the missing LAPACK dependencies in stdlib, port the core routines to stdlib’s ndarray/base API style, for both row-major (C-style) and column-major (Fortran-style) arrays and verify correctness against the Fortran reference implementations. The main deliverable is a working dgesvd implementation, the stretch goal is a working dgesvdq branch. Each routine will also include tests, benchmarks, examples, and documentation so the final result is a working SVD module in stdlib via LAPACK.