4 -> 3

Author: mohamed82008

README.md

@@ -31,7 +31,7 @@ The `JuliaNonconvex` organization hosts a number of packages which are available
 
 ## Design philosophy
 
-Nonconvex.jl is a Julia package that implements and wraps a number of constrained nonlinear and mixed integer nonlinear programming solvers. There are 4 unique features of Nonconvex.jl compared to similar packages such as JuMP.jl and NLPModels.jl:
+Nonconvex.jl is a Julia package that implements and wraps a number of constrained nonlinear and mixed integer nonlinear programming solvers. There are 3 features of Nonconvex.jl compared to similar packages such as JuMP.jl and NLPModels.jl:
 
 1. Emphasis on a function-based API. Objectives and constraints are normal Julia functions.
 2. The ability to nest algorithms to create more complicated algorithms.

docs/src/index.md

@@ -1,6 +1,6 @@
 # Nonconvex.jl Documentation
 
-Nonconvex.jl is a Julia package that implements and wraps a number of constrained nonlinear and mixed integer nonlinear programming solvers. There are 4 unique features of Nonconvex.jl compared to similar packages such as JuMP.jl and NLPModels.jl:
+Nonconvex.jl is a Julia package that implements and wraps a number of constrained nonlinear and mixed integer nonlinear programming solvers. There are 3 features of Nonconvex.jl compared to similar packages such as JuMP.jl and NLPModels.jl:
 
 1. Emphasis on a function-based API. Objectives and constraints are normal Julia functions.
 2. The ability to nest algorithms to create more complicated algorithms.