Fix docstrings

docs/src/constraints.md

@@ -492,8 +492,8 @@ julia> @variable(model, x)
 x
 
 julia> @SDconstraint(model, [x 2x; 3x 4x] >= ones(2, 2))
- x - 1    2 x - 1
- 3 x - 1  4 x - 1 ∈ PSDCone()
+[x - 1    2 x - 1;
+ 3 x - 1  4 x - 1] ∈ PSDCone()
 ```
 
 Solvers supporting such constraints usually expect to be given a matrix that
@@ -519,16 +519,16 @@ follows:
 julia> using LinearAlgebra
 
 julia> @constraint(model, Symmetric([x 2x; 2x 4x] - ones(2, 2)) in PSDCone())
- x - 1    2 x - 1
- 2 x - 1  4 x - 1 ∈ PSDCone()
+[x - 1    2 x - 1;
+ 2 x - 1  4 x - 1] ∈ PSDCone()
 ```
 
 Note that the lower triangular entries are silently ignored even if they are
 different so use it with caution:
 ```jldoctest con_psd
 julia> cref = @constraint(model, Symmetric([x 2x; 3x 4x]) in PSDCone())
- x    2 x
- 2 x  4 x ∈ PSDCone()
+[x    2 x;
+ 2 x  4 x] ∈ PSDCone()
 
 julia> jump_function(constraint_object(cref))
 3-element Array{GenericAffExpr{Float64,VariableRef},1}:

src/macros.jl

@@ -760,8 +760,8 @@ julia> b = [1 2
             3 4];
 
 julia> cref = @SDconstraint(model, a ⪰ b)
- x - 1  2 x - 2
- -3     x - 4   ∈ PSDCone()
+[x - 1  2 x - 2;
+ -3     x - 4  ] ∈ PSDCone()
 
 julia> jump_function(constraint_object(cref))
 4-element Array{GenericAffExpr{Float64,VariableRef},1}:

src/sd.jl

@@ -25,8 +25,8 @@ julia> b = [1 2
             2 4];
 
 julia> cref = @SDconstraint(model, a ⪰ b)
- x - 1    2 x - 2
- 2 x - 2  x - 4   ∈ PSDCone()
+[x - 1    2 x - 2;
+ 2 x - 2  x - 4  ] ∈ PSDCone()
 
 julia> jump_function(constraint_object(cref))
 4-element Array{GenericAffExpr{Float64,VariableRef},1}:
@@ -45,8 +45,8 @@ matrix is constrained to belong to the `PositiveSemidefiniteConeSquare`.
 julia> using LinearAlgebra # For Symmetric
 
 julia> cref = @constraint(model, Symmetric(a - b) in PSDCone())
- x - 1    2 x - 2
- 2 x - 2  x - 4   ∈ PSDCone()
+[x - 1    2 x - 2;
+ 2 x - 2  x - 4  ] ∈ PSDCone()
 
 julia> jump_function(constraint_object(cref))
 3-element Array{GenericAffExpr{Float64,VariableRef},1}: