Merge pull request #13 from ctkelley/main

More spelling fixes

CITATION.bib

@@ -1,6 +1,6 @@
 @misc{ctk:mparraysdocs,
 author="C. T. Kelley",
-title="Using {MultiPrecisonArrays.jl}: {I}terative Refinement in {J}ulia",
+title="Using {MultiPrecisionArrays.jl}: {I}terative Refinement in {J}ulia",
 year=2024,
 archivePrefix={arXiv},
 primaryClass={math.NA},

docs/src/index.md

@@ -1,4 +1,4 @@
-# MultiPrecisionArrays.jl v0.1.1
+# multiprecisionarrays.jl v0.1.1
 
 [C. T. Kelley](https://ctk.math.ncsu.edu)
 
@@ -248,7 +248,7 @@ end
 The function ```mplu``` has two keyword arguments. The easy one to understand is ```TF``` which is the precision of the factorization. Julia has support for single (```Float32```) and half (```Float16```)
 precisions. If you set ```TF=Float16``` then low precision will be half. Don't do that unless you know what you're doing. Using half precision is a good way to get incorrect results. Look at the section on [half precision](#half-Precision) in this Readme for a bit more bad news.
 
-The other keyword arguement is __onthefly__. That keyword controls how the triangular solvers from the factorization work. When you solve
+The other keyword argument is __onthefly__. That keyword controls how the triangular solvers from the factorization work. When you solve
 
 ```math
 LU d = r

src/Structs4MP/MPBArray.jl

@@ -36,7 +36,7 @@ MPBArray(AH::AbstractArray{Float64,2}; TF=Float32)
 
 An MPBArray stores the high precision matrix, the low precision factorization
 and a few other things BiCGSTAB needs. If the high precision
-matrix is double, the low precision is single by default. Half is an optioin
+matrix is double, the low precision is single by default. Half is an option
 which you get with TF=Float16.
 """
 function MPBArray(AH::AbstractArray{Float64,2}; TF=Float32)