Comments (4)
Thanks for taking the time to write some examples! If you run SCS with verbose=1
, you'll see a message which says:
Status: Solved/Inaccurate
Hit max_iters, solution may be inaccurate
So, we're hitting the maximum number of allowed iterations. If you instead use, say solve!(problem, SCSSolver(verbose=1, max_iters=15000))
, you should see a graph that looks more like this:
I don't think Solved/Inaccurate
should be interpreted as a status of :Optimal
, since this is misleading. I'm going to open up another issue for that. Let us know if you run into other problems!
from convex.jl.
@karanveerm, usually the :UserLimit
status is used to indicate that the solver stopped because of the iteration limit.
from convex.jl.
@gajomi, we're starting to collect example notebooks at https://github.com/JuliaOpt/juliaopt-notebooks, if you'd like to put together this example with a bit of explanation and LaTeX math, the contribution would be more than welcome.
from convex.jl.
@karanveerm - Thanks. This fixes my problem. @mlubin - Yeah, I can put together a little notebook about all this. I should have some time next week.
from convex.jl.
Related Issues (20)
- Value of eps() used in new implementation of quadform is too small HOT 2
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- Add banner to old versions of Convex.jl docs HOT 1
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- problem with Convex and new SCS (0.8.1) HOT 7
- First-run after `include(my_file.jl)` is faster than later HOT 8
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- Support for quasiconvex problems HOT 2
- SDP problem 100x slower than matlab CVX HOT 3
- Precompilation failure HOT 2
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- trace_mpower with BigFloat HOT 2
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from convex.jl.