Update Readme URLs

README.Rmd

@@ -28,7 +28,7 @@ CVXR includes several open source solvers in addition to the default
 OSQP, ECOS and SCS. Recent (1.x+) versions also include support for
 commercial solvers such as [MOSEK](https://www.mosek.com),
 [GUROBI](https://www.gurobi.com) and
-[CPLEX](https://www.ibm.com/analytics/cplex-optimizer).
+[CPLEX](https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer).
 
 For details and examples, we refer you to [Fu, Narasimhan,
 Boyd](https://dx.doi.org/10.18637/jss.v094.i14) (2020). If you use

README.md

@@ -1,55 +1,59 @@
+---
+output: github_document
+---
 
 <!-- README.md is generated from the source: README.Rmd -->
 
 # CVXR <img src="man/figures/logo.png" width="100" align="right" />
-
-[![R build
-status](https://github.com/cvxgrp/CVXR/workflows/R-CMD-check/badge.svg)](https://github.com/cvxgrp/CVXR/actions)
+[![R build status](https://github.com/cvxgrp/CVXR/workflows/R-CMD-check/badge.svg)](https://github.com/cvxgrp/CVXR/actions)
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/CVXR)](https://cran.r-project.org/package=CVXR)
 [![](https://cranlogs.r-pkg.org/badges/CVXR)](https://CRAN.R-project.org/package=CVXR)
 
 CVXR provides an object-oriented modeling language for convex
 optimization, similar to `CVX`, `CVXPY`, `YALMIP`, and `Convex.jl`. It
 allows the user to formulate convex optimization problems in a natural
 mathematical syntax rather than the restrictive standard form required
-by most solvers. The user specifies an objective and set of constraints
-by combining constants, variables, and parameters using a library of
-functions with known mathematical properties. `CVXR` then applies signed
-[disciplined convex programming
+by most solvers. The user specifies an objective and set of
+constraints by combining constants, variables, and parameters using a
+library of functions with known mathematical properties. `CVXR` then
+applies signed [disciplined convex programming
 (DCP)](https://web.stanford.edu/~boyd/papers/pdf/disc_cvx_prog.pdf) to
-verify the problem’s convexity. Once verified, the problem is converted
-into standard conic form using graph implementations and passed to a
-cone solver such as [ECOS](https://github.com/embotech/ecos) or
+verify the problem’s convexity. Once verified, the problem is
+converted into standard conic form using graph implementations and
+passed to a cone solver such as
+[ECOS](https://github.com/embotech/ecos) or
 [SCS](https://github.com/cvxgrp/scs).
 
 CVXR includes several open source solvers in addition to the default
 OSQP, ECOS and SCS. Recent (1.x+) versions also include support for
 commercial solvers such as [MOSEK](https://www.mosek.com),
 [GUROBI](https://www.gurobi.com) and
-[CPLEX](https://www.ibm.com/analytics/cplex-optimizer).
+[CPLEX](https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer).
 
 For details and examples, we refer you to [Fu, Narasimhan,
-Boyd](https://dx.doi.org/10.18637/jss.v094.i14) (2020). If you use CVXR
-in your work, please cite this reference. (The R command
-`citation("CVXR", bibtex = TRUE)` will also give you a bibtex-formatted
-entry.)
+Boyd](https://dx.doi.org/10.18637/jss.v094.i14) (2020). If you use
+CVXR in your work, please cite this reference. (The R command
+`citation("CVXR", bibtex = TRUE)` will also give you a
+bibtex-formatted entry.)
 
 ## Installation
 
 This package is now released on CRAN, so you can install the current
-released version as you would any other package for R, version 3.4 and
-higher. (`CVXR` is known to work with earlier versions of R too, but we
-don’t check our releases against older versions of R.)
+released version as you would any other package for R, version 3.4
+and higher. (`CVXR` is known to work with earlier versions of R too,
+but we don't check our releases against older versions of R.)
+
 
-``` r
+```r
 install.packages('CVXR', repos = "https://CRAN.R-project.org")
 ```
 
 Development versions can be installed from the Github repository
-assuming you have the development tools for R available, including the C
-compilers etc. Execute:
+assuming you have the development tools
+for R available, including the C compilers etc. Execute:
+
 
-``` r
+```r
 library(devtools)
 install_github("cvxgrp/CVXR")
 ```
@@ -59,3 +63,5 @@ install_github("cvxgrp/CVXR")
 A number of tutorial examples are available on the [CVXR
 website](https://cvxr.rbind.io) along with links to our useR! 2019
 short-course.
+
+