Bump version number to v0.4.3

oxfordcontrol · Jun 3, 2019 · 3abd3f7 · 3abd3f7 · migarstka · Jun 3, 2019
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diff --git a/NEWS.md b/NEWS.md
@@ -1,3 +1,13 @@
+## Version 0.4.3 (3. June 2019)
+We add the exponential cone, the power cone and their dual cones. Furthermore, we offer the option to use different linear
+system solvers. The most important changes are listed here:
+
+- `eb7cb68` Add power cone and dual exp and pow cone
+- `f3b5c2f` Add a logistic regression example
+- `44cc8b3` Implement exponential cone constraints
+- `4c3428c` Merge pull request #65 from oxfordcontrol/pg/lin_solvers
+- `863168a` <#65> Support custom linear system solver
+
 ## Version 0.4.2 (5. May 2019)
 This is a major upgrad since it adds the chordal decomposition functionality. The most important changes are listed here:
 - `8dd70eb` Make sure graphs are connected

diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "COSMO"
 uuid = "1e616198-aa4e-51ec-90a2-23f7fbd31d8d"
 authors = ["Michael <[email protected]>"]
-version = "0.4.2"
+version = "0.4.3"
 
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

diff --git a/README.md b/README.md
@@ -14,7 +14,7 @@
   <a href="https://codecov.io/gh/oxfordcontrol/COSMO.jl"><img src="https://codecov.io/gh/oxfordcontrol/COSMO.jl/branch/master/graph/badge.svg"></a>
   <a href="https://oxfordcontrol.github.io/COSMO.jl/stable"><img src="https://img.shields.io/badge/Documentation-stable-purple.svg"></a>
   <a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"></a>
-  <a href="https://github.com/oxfordcontrol/COSMO.jl/releases"><img src="https://img.shields.io/badge/Release-v0.4.2-blue.svg"></a>
+  <a href="https://github.com/oxfordcontrol/COSMO.jl/releases"><img src="https://img.shields.io/badge/Release-v0.4.3-blue.svg"></a>
 </p>
 
 <p align="center">

diff --git a/src/printing.jl b/src/printing.jl
@@ -7,7 +7,7 @@ function print_header(ws::COSMO.Workspace)
 	settings.scaling > 0 ? scaling_status = "on" : scaling_status = "off"
 	nnz_in_P = count(!iszero,ws.p.P) - count(!iszero,diag(ws.p.P)) + n
 	nnz_in_M = 2*count(!iszero,ws.p.A) + nnz_in_P + m
-	println("-"^66 * "\n" * " "^13 * "COSMO - A Quadratic Objective Conic Solver\n" * " "^25 * "Michael Garstka\n"  * " "^16 * "University of Oxford, 2017 - 2019\n" * "-"^66 * "\n")
+	println("-"^66 * "\n" * " "^10 * "COSMO v0.4.3 - A Quadratic Objective Conic Solver\n" * " "^25 * "Michael Garstka\n"  * " "^16 * "University of Oxford, 2017 - 2019\n" * "-"^66 * "\n")
 
 	println("Problem:  x ∈ R^{$(n)},\n          constraints: A ∈ R^{$(m)x$(n)} ($(count(!iszero, ws.p.A)) nnz), b ∈ R^{$(m)},\n          matrix size to factor: $(n + m)x$(n + m) ($((n + m)^2) elem, $(nnz_in_M) nnz)")
 	for (iii, set) in enumerate(sort(ws.p.C.sets, by = x -> -x.dim))