v0.15.0

Convex v0.15.0

Diff since v0.14.18

Closed issues:

• Test with all capable solvers (#54)
• Unacceptable slow speed in model generation still exists (#137)
• Can't obtain dual variable (#158)
• Various operations don't support broadcast (#218)
• About positive definite matrix in variables? (#226)
• Warm Start example does not work as expected (#229)
• parameter change not detected (#234)
• Strange performance issue (#246)
• Cleanup code formatting (#251)
• Bug using maximum (#275)
• Too tight tolerance in one of the tests? (#295)
• v0.13 now as fast as R/CVXR, also scales linearly (v0.12 was quadratic) (#353)
• Element wise addition after multiplication (#355)
• Ideas for scaling up to large(r) subset selection problems? (#356)
• Not supporting normal distribution CDF function from Distributions.jl (#389)
• Too much memory consumption right before trying to solve a problem. (#390)
• Broadcasting issue with element-wise multiplication (Hadamard product) (#410)
• Example on warmstarting in the manual fails (#451)
• First-run after include(my_file.jl) is faster than later (#471)
• Quesitons about how Convex.jl works (#472)
• Fix the docs (#483)

Merged pull requests:

• move NEWS to docs (#470) (@ericphanson)
• [docs] Remove extra space in explanation (#473) (@ericphanson)
• doc: norm(x, p) (#474) (@PaulSoderlind)
• Update to MOI v1.0 (#476) (@odow)
• [docs] fix warmstart example (#478) (@odow)
• Add JuliaFormatter (#480) (@odow)
• Prep for v0.15 (#481) (@odow)
• Add release notes for v0.15 (#482) (@odow)
• Variety of fixes to the docs (#484) (@odow)