Comments (2)
I think the other information that was lacking was sign
.
For problems, we should also print the status (from problem.status
)
Problem: minimize CvxExpr((1, 1), convex)
subject to
CvxConstr: CvxExpr((1, 1), linear) <= 0
CvxConstr: CvxExpr((1, 1), convex) <= -2
status: not yet solved
OR
status: solved with optimal value of 2.0
The only thing that is misleading is that a constraint of the form expr >= constant
will be translated into -expr <= -constant
and expr1 >= expr2
will be translated as expr2 <= expr1
. So, something like
x = Variable(2, 3);
4 * x >= 2 + x
will be displayed as:
CvxConstr: CvxExpr(2, 3, linear, any) <= CvxExpr(2, 3, linear, any)
This isn't particularly informative, but I'm not sure how this can be made any better.
Nitpicking here, but for consistency, we try to put a space after a comma. Also things like x >=0
should be x >= 0
, two-space indentation instead of four etc. I have fixed these minor issues in the prettyprint branch (and added show
functions for Solution
and CanonicalConstr
); everything else looks great! Feel free to fix anything you don't like and then merge with master.
Thanks for working on this!
from convex.jl.
Closed by 4f2d73c
from convex.jl.
Related Issues (20)
- Do not use eval HOT 2
- Unit tests for atoms HOT 3
- Removing Convex.sign and Convex.children HOT 2
- Document that atoms must be mutable HOT 4
- Convex treats strict inequalities and non-strict
- Add `backend(p::Problem, optimizer)` utility HOT 2
- New atom: elementwise_entropy
- Sequentially solve a quadratic programming problem HOT 5
- vexity(::IndexAtom) is inexact HOT 3
- Remove scalar indexing on `AbstractExpr`'s from atom formulation HOT 1
- Test Atoms on constants HOT 1
- Scalarize everything? HOT 4
- Support variable bounds
- Should GenericConstraint constrain the sets? HOT 1
- Fix Aqua ambiguities HOT 1
- Improve `Problem` printing to indicate size/complexity
- Change repo settings to auto-delete branches post-merge HOT 1
- constraints added to individual variables don't print when printing the problem
- Support chained inequalities? HOT 1
- `_dot_multiply` uses evaluate, therefore breaks `fix!`/`free!`
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from convex.jl.