Merge pull request #152 from psanan/psanan/2021-08-05/docs-typo-fix

Docs: fix typo: "pre-build" --> "pre-built"

README.md

@@ -19,7 +19,7 @@ The installation can be tested with
 
 ## BinaryBuilder Version
 
-By default, the package uses a pre-build binary of
+By default, the package uses a pre-built binary of
 [`PETSc`](https://github.com/JuliaBinaryWrappers/PETSc_jll.jl) along with a
 default installation of `MPI.jl`. Note that the distributed version of PETSc is using real,
 `Float64` numbers; build details can be found
@@ -45,4 +45,4 @@ To see the currently set library use
 ```julia
 using PETSc
 PETSc.libs
-```
+```

docs/src/index.md

@@ -2,6 +2,6 @@
 
  [PETSc.jl](https://github.com/JuliaParallel/PETSc.jl) is a Julia wrapper for the Portable, Extensible Toolkit for Scientific Computation [PETSc](https://petsc.org/release/documentation/manual/) package, which allows solving ordinary and partial differential equations in parallel on laptops or massively parallel high-performance systems.
 
- The use of Julia greatly simplifies the code that developers have to write, while allowing to employ Julia features such as automatic differentiation. The Julia wrapper also comes with a pre-build library, which greatly simplifies the process of getting your first code working in parallel, on different operating systems. In many cases, the Julia code is significantly shorter than its C counterpart.
+ The use of Julia greatly simplifies the code that developers have to write, while allowing to employ Julia features such as automatic differentiation. The Julia wrapper also comes with a pre-built library, which greatly simplifies the process of getting your first code working in parallel, on different operating systems. In many cases, the Julia code is significantly shorter than its C counterpart.
 
  This wrapper mimics the PETSc-functionality as closely as possible, but remains work in progress (meaning that not everything has been translated yet). See the official [user guide](https://petsc.org/release/overview/) if you want to learn more about PETSc in general. For Julia-specific examples, have a look at our [examples](https://github.com/JuliaParallel/PETSc.jl/tree/master/examples) or [tests](https://github.com/JuliaParallel/PETSc.jl/tree/master/test). 

docs/src/man/getting_started.md

@@ -2,20 +2,20 @@
 
 
 - [Getting started](#getting-started)
-    - [1a. Installation using pre-build libraries](#1a-installation-using-pre-build-libraries)
-    - [1b. Installation using pre-build libraries](#1b-installation-using-pre-build-libraries)
+    - [1a. Installation using pre-built libraries](#1a-installation-using-pre-built-libraries)
+    - [1b. Installation using pre-built libraries](#1b-installation-using-pre-built-libraries)
     - [2. Solving a linear system of equations](#2-solving-a-linear-system-of-equations)
     - [3. Nonlinear example](#3-nonlinear-example)
 
-### 1a. Installation using pre-build libraries 
+### 1a. Installation using pre-built libraries 
 The easiest way to install the package is: 
 ```julia
 julia> ]
 (@v1.6) pkg> add https://github.com/JuliaParallel/PETSc.jl
 ```
-which will install a pre-build PETSc library (`PETSc_jll`) as well as `MPI.jl` on your system. This will work both in serial and in parallel on your machine.
+which will install a pre-built PETSc library (`PETSc_jll`) as well as `MPI.jl` on your system. This will work both in serial and in parallel on your machine.
 
-### 1b. Installation using pre-build libraries 
+### 1b. Installation using pre-built libraries 
 On many high-performance clusters, you will have to use the provided `MPI` installation for that cluster and the default download above will not be sufficient. Alternatively, you may be interested in a PETSc installation that comes with additional external packages. Ensure that this PETSc installation is compiled as a dynamic (and not a static) library, after which you need to set the environmental variable `JULIA_PETSC_LIBRARY` to link to your PETSc installation: 
 
 ```