Remove warning from README (#529)

Author: odow

README.md

@@ -1,45 +1,35 @@
-# Please read: Convex.jl needs a new maintainer
-
-Hi there! Convex.jl is an old Julia package that has had a number of maintainers
-and [contributors over the years](https://github.com/jump-dev/Convex.jl/graphs/contributors).
-Most typically, these have been procrastinating graduate students who work on
-Convex.jl instead of finishing their thesis. However, we can't all be students
-forever, and so is Convex.jl in need of a new maintainer. 
-
-Therefore, **Convex.jl is in maintenance mode.**
-
-There are still a number of community members who can review and merge pull
-requests, but they will not be doing any active development.
-
-If you would like to get involved and help revive Convex.jl:
- * Join the JuMP developer chatroom at [https://gitter.im/JuliaOpt/JuMP-dev](https://gitter.im/JuliaOpt/JuMP-dev)
-   to say hi. If you have questions relating to Convex.jl, we may be able to help.
- * Start by making some small pull requests to fix any of the open issues.
-
 # Convex.jl
 
 [![Build Status](https://github.com/jump-dev/Convex.jl/workflows/CI/badge.svg)](https://github.com/jump-dev/Convex.jl/actions?query=workflow%3ACI)
 [![Coverage](https://codecov.io/gh/jump-dev/Convex.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/jump-dev/Convex.jl)
 [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://jump.dev/Convex.jl/stable)
 [![](https://img.shields.io/badge/docs-dev-blue.svg)](https://jump.dev/Convex.jl/dev)
 
-**Convex.jl** is a [Julia](http://julialang.org) package for [Disciplined Convex Programming](http://dcp.stanford.edu/). Convex.jl can solve linear programs, mixed-integer linear programs, and DCP-compliant convex programs using a variety of solvers, including [Mosek](https://github.com/JuliaOpt/Mosek.jl), [Gurobi](https://github.com/jump-dev/Gurobi.jl), [ECOS](https://github.com/jump-dev/ECOS.jl), [SCS](https://github.com/jump-dev/SCS.jl), and  [GLPK](https://github.com/JuliaOpt/GLPK.jl), through [MathOptInterface](https://github.com/jump-dev/MathOptInterface.jl). It also supports optimization with complex variables and coefficients.
+**Convex.jl** is a [Julia](http://julialang.org) package for
+[Disciplined Convex Programming](http://dcp.stanford.edu/) (DCP).
 
-**Installation**: `julia> Pkg.add("Convex")`
+Convex.jl can solve linear programs, mixed-integer linear programs, and
+DCP-compliant convex programs using a variety of solvers, including
+[Mosek](https://github.com/MOSEK/Mosek.jl),
+[Gurobi](https://github.com/jump-dev/Gurobi.jl),
+[ECOS](https://github.com/jump-dev/ECOS.jl),
+[SCS](https://github.com/jump-dev/SCS.jl), and
+[GLPK](https://github.com/jump-dev/GLPK.jl), through
+[MathOptInterface](https://github.com/jump-dev/MathOptInterface.jl).
 
-- **Detailed documentation and examples** for Convex.jl ([stable](https://jump.dev/Convex.jl/stable) | [development version](https://jump.dev/Convex.jl/dev)).
-- If you're running into **bugs or have feature requests**, please use the [Github Issue Tracker](https://github.com/jump-dev/Convex.jl/issues>).
-- For usage questions, please contact us via [Discourse](https://discourse.julialang.org/c/domain/opt).
+Convex.jl also supports optimization with complex variables and coefficients.
 
-## Quick Example
+For usage questions, please contact us via [Discourse](https://discourse.julialang.org/c/domain/opt).
+
+## Installation
 
-To run this example, first install Convex and at least one solver, such as SCS:
 ```julia
-using Pkg
+import Pkg
 Pkg.add("Convex")
-Pkg.add("SCS")
 ```
-Now let's solve a least-squares problem with inequality constraints.
+
+## Quick Example
+
 ```julia
 # Let us first make the Convex.jl module available
 using Convex, SCS
@@ -69,12 +59,15 @@ problem.optval
 
 A number of examples can be found [here](https://jump.dev/Convex.jl/stable/).
 The [basic usage notebook](https://jump.dev/Convex.jl/stable/examples/general_examples/basic_usage/)
-gives a simple tutorial on problems that can be solved using Convex.jl. All examples can be downloaded as
-a zip file from [here](https://jump.dev/Convex.jl/stable/examples/notebooks.zip).
+gives a simple tutorial on problems that can be solved using Convex.jl.
+
+All examples can be downloaded as a zip file from [here](https://jump.dev/Convex.jl/stable/examples/notebooks.zip).
 
 ## Citing this package
 
-If you use Convex.jl for published work, we encourage you to cite the software using the following BibTeX citation:
+If you use Convex.jl for published work, we encourage you to cite the software
+using the following BibTeX citation:
+
 ```bibtex
 @article{convexjl,
  title = {Convex Optimization in {J}ulia},
@@ -86,5 +79,3 @@ If you use Convex.jl for published work, we encourage you to cite the software u
  primaryClass = "math-oc",
 }
 ```
-
-> Convex.jl was previously called CVX.jl.