Minor updates in README.md (#78)

Author: wsshin

README.md

@@ -73,9 +73,9 @@ The LinearMaps package provides the following functionality:
     LinearMap{T}(f, [fc = nothing], M::Int, [N::Int = M]; ismutating::Bool, issymmetric::Bool, ishermitian::Bool, isposdef::Bool])
     ```
 
-    Create a `FunctionMap` instance that wraps an object describing the action of the linear map on a vector as a function call. Here, `f` can be a function or any other object for which either the call `f(src::AbstractVector) -> dest::AbstractVector` (when `ismutating = false`) or `f(dest::AbstractVector,src::AbstractVector) -> dest` (when `ismutating = true`) is supported. The value of `ismutating` can be spefified, by default its value is guessed by looking at the number of arguments of the first method in the method list of `f`.
+    Create a `FunctionMap` instance that wraps an object describing the action of the linear map on a vector as a function call. Here, `f` can be a function or any other object for which either the call `f(src::AbstractVector) -> dest::AbstractVector` (when `ismutating = false`) or `f(dest::AbstractVector,src::AbstractVector) -> dest` (when `ismutating = true`) is supported. The value of `ismutating` can be specified, by default its value is guessed by looking at the number of arguments of the first method in the method list of `f`.
 
-    A second function or object can optionally be provided that implements the action of the adjoint (transposed) linear map. Here, it is always assumed that this represents the adjoint/conjugate transpose, though this is of course equivalent to the normal transpose for real linear maps. Furthermore, the conjugate transpose also enables the use of `mul!(y, transpose(A), x)` using some extra conjugation calls on the input and output vector. If no second function is provided, than `mul!(y, transpose(A), x)` and `mul!(y, adjoint(A), x)` cannot be used with this linear map, unless it is symmetric or hermitian.
+    A second function or object `fc` can optionally be provided that implements the action of the adjoint (transposed) linear map. Here, it is always assumed that this represents the adjoint/conjugate transpose, though this is of course equivalent to the normal transpose for real linear maps. Furthermore, the conjugate transpose also enables the use of `mul!(y, transpose(A), x)` using some extra conjugation calls on the input and output vector. If no second function is provided, than `mul!(y, transpose(A), x)` and `mul!(y, adjoint(A), x)` cannot be used with this linear map, unless it is symmetric or hermitian.
 
     `M` is the number of rows (length of the output vectors) and `N` the number of columns (length of the input vectors). When the latter is not specified, `N = M`.