Merge pull request #12 from ctkelley/main

Spelling fix
ctkelley · Apr 20, 2024 · b7c85c1 · b7c85c1
2 parents 3d400a9 + 7c2ea6c
commit b7c85c1
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diff --git a/Publications_and_Presentations/MPArray.pdf b/Publications_and_Presentations/MPArray.pdf
diff --git a/docs/src/MPArray.bib b/docs/src/MPArray.bib
@@ -141,7 +141,7 @@ @article{HighamMary
 
 @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},

diff --git a/src/MultiPrecisionArrays.jl b/src/MultiPrecisionArrays.jl
@@ -75,7 +75,7 @@ end
 #
 # hlu and hlu! are hacks of the Julia generic_lu source. I've used
 # Polyester.jl to thread them and done some tweaking. On
-# my Mac M2 Pro with 8 performace cores I'm seeing a 10x speedup
+# my Mac M2 Pro with 8 performance cores I'm seeing a 10x speedup
 # over where I was before and seem to be using the hardware support
 # for half precision as well as I can. I am still 5x slower than
 # the LAPACK double precision LU, so there's a factor of 20 out there
@@ -146,7 +146,7 @@ export mpcholesky!
 # export MPhatv
 # export MPhptv
 #
-# The data structres for statistics are almost surely not 
+# The data structures for statistics are almost surely not 
 # interesting to anyone but me. I will document how one can
 # use the solvers to get the stats sooner or later.
 #

diff --git a/src/Solvers/IRTriangle.jl b/src/Solvers/IRTriangle.jl
@@ -3,7 +3,7 @@ IRTriangle!(AF::Union{MPLFact,MPLEFact,MPHFact}, r, rs, verbose)
 This is the solve phase using the factorization object (AFS) you get
 from a multiprecision LU factorization.
 
-Solve for the defect by quering on_the_fly
+Solve for the defect by querying on_the_fly
 to figure out if we can do the triangular solves entirely in low precision.
 
 If on_the_fly(AF) == false, then demote the residual and solve in low

diff --git a/src/Structs4MP/MPGArray.jl b/src/Structs4MP/MPGArray.jl
@@ -36,7 +36,7 @@ MPGArray(AH::AbstractArray{Float64,2}; basissize=10, TF=Float32)
 
 An MPGArray stores the high precision matrix, the low precision factorization,
 the Krylov basis, and a few other things GMRES 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 MPGArray(AH::AbstractArray{Float64,2}; basissize=10, TF=Float32)

diff --git a/test/runtests.jl b/test/runtests.jl
@@ -54,6 +54,6 @@ end
     @test hvse(128)
 end
 
-@testset "High Residual Precsion" begin
+@testset "High Residual Precision" begin
    @test hi_precision_res()
 end