Update available platforms

Author: usamamuneeb

docs/formats/index.md

@@ -10,7 +10,7 @@ nav_order: 3
 We briefly discuss the file formats for storing SDP problems. Most SDP solvers were developed in the late 1990s, which is when these formats were specified.
 
 {: .attention }
-This section is an optional read if you want to use SDPA for Python. For quick start, please see the [Usage](https://sdpa-python.github.io/docs/usage/) section.
+This section is an optional read if you want to use SDPA for Python. For quick start, please see the [Usage](docs/usage/) section.
 
 {: .warning }
 *SDPA for Python* solves an problem in a different standard form than *SDPA*. Below, when we say SDPA, we mean the backend software used by SDPA for Python. SDPA for Python, can however read problems stored in SDPA sparse format.

docs/installation/index.md

@@ -7,7 +7,7 @@ nav_order: 2
 
 # Installing SDPA for Python
 
-SDPA for Python can be installed for `x86_64` through `pip`. Two variants of this package are available on the Python Package Index (PyPI). The package using the SDPA (OpenBLAS) backend can be installed by
+SDPA for Python can be installed via `pip` on Windows, macOS and Linux for `x86_64` (as well as for `arm64` on Linux). Two variants of this package are available on the Python Package Index (PyPI). The package using the SDPA (OpenBLAS) backend can be installed by
 
 ```bash
 pip install sdpa-python
@@ -19,4 +19,6 @@ The package using the [SDPA Multiprecision](https://github.com/sdpa-python/sdpa-
 pip install sdpa-multiprecision
 ```
 
-Wheels for other architectures are not currently available but we have provided build instructions for Windows, Linux and macOS if you would like to build it from source. `sdpa-python` has currently not been tested on other architectures.
+{: .attention }
+**Apple Silicon**
+`sdpa-multiprecision` wheels are available for Apple Silicon. The regular variant is currently only installable from source (instructions below). Due to a lack of a Fortran cross compiler, we are not able to provide macOS `arm64` wheels for the regular variant.

index.md

@@ -17,7 +17,7 @@ Interior-point SDP solver for Python
 
 ---
 
-SDPA for Python (`sdpa-python`) is a Python 3 wrapper for SDPA (SemiDefinite Programming Algorithm). SDPA is a software package for solving general SDPs based on primal-dual interior-point methods with the HRVW/KSH/M search direction [1].
+SDPA for Python is a Python 3 wrapper for SDPA (SemiDefinite Programming Algorithm). SDPA is a software package for solving general SDPs based on primal-dual interior-point methods with the HRVW/KSH/M search direction [1].
 
 This package is a fork of SDPAP, the Python interface for SDPA provided at the [official SDPA website](http://sdpa.sourceforge.net/download.html). This repository aims to provide Python 3 support for both SDPA and [SDPA Multiprecision](https://github.com/sdpa-python/sdpa-multiprecision) (fork of SDPA-GMP [4]).
 
@@ -37,11 +37,11 @@ The package using the SDPA Multiprecision (GMP) backend can be installed by
 pip install sdpa-multiprecision
 ```
 
-PyPI currently does not have wheels for Apple M1 but it can built from source. Please see the instructions in the [Installation](https://sdpa-python.github.io/docs/installation/) section.
+For supported platforms, please see the [Installation](docs/installation/) section.
 
 ### Usage
 
-To get started, see the [Usage](https://sdpa-python.github.io/docs/usage/) section.
+To get started, see the [Usage](docs/usage/) section.
 
 ## History