diff --git a/Project.toml b/Project.toml
index b49bfdc7..e6dbf238 100644
--- a/Project.toml
+++ b/Project.toml
@@ -41,7 +41,7 @@ MINLPTests = "0.5.2"
 MathOptInterface = "~1"
 McCormick = "0.13"
 NaNMath = "0.3.5, 1.0"
-PrettyTables = "~1"
+PrettyTables = "~2"
 Reexport = "~0.2, ~1"
 Requires = "~1"
 SpecialFunctions = "~1, ~2"
diff --git a/src/eago_optimizer/functions/nonlinear/apriori_relax/affine_arithmetic.jl b/src/eago_optimizer/functions/nonlinear/apriori_relax/affine_arithmetic.jl
index 93882618..238c5cd0 100644
--- a/src/eago_optimizer/functions/nonlinear/apriori_relax/affine_arithmetic.jl
+++ b/src/eago_optimizer/functions/nonlinear/apriori_relax/affine_arithmetic.jl
@@ -248,7 +248,7 @@ end
 MC(x::MCAffPnt{N,T}) where {N,T<:RelaxTag} = x.v
 MC(x::MC{N,T}) where {N, T<:RelaxTag} = x
 
-relax_info(s::RelaxAA, n::Int, t::T) where {N,T} = MCAffPnt{n,T}
+relax_info(s::RelaxAA, n::Int, t::T) where T = MCAffPnt{n,T}
 
 zero(::Type{MCAffPnt{N,T}}) where {N,T} = MCAffPnt{N,T}(zero(MC{N,T}), zero(AffineEAGO{N}))
 zero(x::MCAffPnt{N,T}) where {N,T} = MCAffPnt{N,T}(zero(x.v), zero(x.box))
@@ -297,7 +297,7 @@ function cut(x::MC{N,T}, z::MCAffPnt{N,T}, v::VariableValues, ϵ::Float64, s::Ve
     return x
 end
 
-function varset(::Type{MCAffPnt{N,T}}, i, x_cv, x_cc, l, u) where {V,N,T<:RelaxTag}
+function varset(::Type{MCAffPnt{N,T}}, i, x_cv, x_cc, l, u) where {N,T<:RelaxTag}
     v = seed_gradient(i, Val(N))
     v_Intv = Interval{Float64}(l, u)
     v_mc = MC{N,T}(x_cv, x_cc, v_Intv, v, v, false) 
diff --git a/src/eago_optimizer/functions/nonlinear/composite_relax/composite_relax.jl b/src/eago_optimizer/functions/nonlinear/composite_relax/composite_relax.jl
index 5daf617c..88c20336 100644
--- a/src/eago_optimizer/functions/nonlinear/composite_relax/composite_relax.jl
+++ b/src/eago_optimizer/functions/nonlinear/composite_relax/composite_relax.jl
@@ -284,5 +284,5 @@ function display_table!(g::DAT, b::RelaxCache{V,N,T}) where {V,N,T<:RelaxTag}
     val = [b._is_num[i] ? b._num[i] : b._set[i] for i in 1:nc]
     exr = [display_expr(g, i)  for i in 1:nc]
     data = hcat(exr, b._is_num, val)
-    show(pretty_table(data, header = ["Expr", "Is Num", "Val"]; show_row_number = true))
+    pretty_table(data, header = ["Expr", "Is Num", "Val"]; show_row_number = true)
 end
\ No newline at end of file
diff --git a/src/eago_optimizer/functions/nonlinear/composite_relax/forward_propagation.jl b/src/eago_optimizer/functions/nonlinear/composite_relax/forward_propagation.jl
index 07ebf685..b1a0a1c7 100644
--- a/src/eago_optimizer/functions/nonlinear/composite_relax/forward_propagation.jl
+++ b/src/eago_optimizer/functions/nonlinear/composite_relax/forward_propagation.jl
@@ -15,7 +15,7 @@ xset_ynum(b, x, y) = !is_num(b, x) && is_num(b, y)
 xy_num(b, x, y) = is_num(b, x) && is_num(b, y)
 xyset(b, x, y) = !(is_num(b, x) || is_num(b, y))
 
-function varset(::Type{MC{N,T}}, i, x_cv, x_cc, l, u) where {V,N,T<:RelaxTag}
+function varset(::Type{MC{N,T}}, i, x_cv, x_cc, l, u) where {N,T<:RelaxTag}
     v = seed_gradient(i, Val(N))
     return MC{N,T}(x_cv, x_cc, Interval{Float64}(l, u), v, v, false)
 end
diff --git a/src/eago_optimizer/functions/nonlinear/composite_relax/utilities.jl b/src/eago_optimizer/functions/nonlinear/composite_relax/utilities.jl
index 66619ef3..c8787844 100644
--- a/src/eago_optimizer/functions/nonlinear/composite_relax/utilities.jl
+++ b/src/eago_optimizer/functions/nonlinear/composite_relax/utilities.jl
@@ -57,7 +57,7 @@ function expand_set(::Type{MC{N2,T}}, x::MC{N1,T}, fsparse::Vector{Int}, subspar
     return MC{N2,T}(x.cv, x.cc, x.Intv, cv_grad, cc_grad, x.cnst)
 end
 
-function set_value_post(z::MC{N,T}, v::VariableValues{Float64}, s::Vector{Int}, ϵ::Float64) where {V,N,T<:RelaxTag}
+function set_value_post(z::MC{N,T}, v::VariableValues{Float64}, s::Vector{Int}, ϵ::Float64) where {N,T<:RelaxTag}
     l = z.cv
     u = z.cc
     lower_refinement = true
diff --git a/src/eago_optimizer/optimize/nonconvex/display.jl b/src/eago_optimizer/optimize/nonconvex/display.jl
index 4c5835f6..45d72ef0 100644
--- a/src/eago_optimizer/optimize/nonconvex/display.jl
+++ b/src/eago_optimizer/optimize/nonconvex/display.jl
@@ -7,7 +7,7 @@
 #############################################################################
 # src/eago_optimizer/display.jl
 # Functions used to print information about solution routine to console.
-# Printing is done with reference to the input problem is there is any
+# Printing is done with reference to the input problem if there is any
 # ambiguity.
 #############################################################################
 
diff --git a/src/eago_optimizer/optimize/nonconvex/relax.jl b/src/eago_optimizer/optimize/nonconvex/relax.jl
index 64e34085..0f5e8fdd 100644
--- a/src/eago_optimizer/optimize/nonconvex/relax.jl
+++ b/src/eago_optimizer/optimize/nonconvex/relax.jl
@@ -73,7 +73,7 @@ Default routine for relaxing quadratic constraint `func < 0.0` on node `n`.
 Takes affine bounds of convex part at point `x0` and secant line bounds on
 concave parts.
 """
-function affine_relax_quadratic!(m::GlobalOptimizer, func::SQF, buffer::Dict{Int,Float64}, saf::SAF) where {R,S,Q<:ExtensionType}
+function affine_relax_quadratic!(m::GlobalOptimizer, func::SQF, buffer::Dict{Int,Float64}, saf::SAF)
 
     quadratic_constant = func.constant