Merge pull request #12 from goggle/typos01

Correct some typos

README.md

@@ -64,7 +64,7 @@ julia> A = rand(Mod{10},5,5)
  Mod{10}(5)  Mod{10}(4)  Mod{10}(5)  Mod{10}(9)  Mod{10}(0)
 
 julia> detx(A)
-┌ Warning: Using cofactor expansion to calcuate determinant; may be very slow.
+┌ Warning: Using cofactor expansion to calculate determinant; may be very slow.
 └ @ LinearAlgebraX ~/.julia/dev/LinearAlgebraX/src/detx.jl:41
 Mod{10}(4)
 ```

src/cofactor_det.jl

@@ -4,7 +4,7 @@ export cofactor_det
 `cofactor(A::AbstractMatrix{T})` computes the determinant of `A` using
 cofactor expansion (which can be slow).
 The return type of this method is a number of type `T`.
-The entires in `A` can be polynomials and that won't work with
+The entries in `A` can be polynomials and that won't work with
 Julia's `det`.
 """
 function cofactor_det(A::AbstractMatrix{T}) where {T}

src/homogeneous.jl

@@ -25,7 +25,7 @@ HVector(x...) = HVector(collect(x))
 HVector(x::HVector) = HVector(x.data)
 
 """
-An `HMatrix` is a homogenous matrix; two of these are equal if they are
+An `HMatrix` is a homogeneous matrix; two of these are equal if they are
 nonzero multiples of each other. 
 
 Given a two-dimensional array `A`, `HMatrix(A)` creates a new homogeneous