Document how to use MOI.VectorAffineFunction
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Codecov Report
@@ Coverage Diff @@
## master #171 +/- ##
=======================================
Coverage 83.37% 83.37%
=======================================
Files 32 32
Lines 1720 1720
=======================================
Hits 1434 1434
Misses 286 286Continue to review full report at Codecov.
|
Codecov Report
@@ Coverage Diff @@
## master #171 +/- ##
=======================================
Coverage 83.37% 83.37%
=======================================
Files 32 32
Lines 1720 1720
=======================================
Hits 1434 1434
Misses 286 286Continue to review full report at Codecov.
|
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@blegat Thanks. Fixed the typo and removed the empty lines as pointed out, and also modified the example (and made a force push). |
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| ## Using a Polyhedra Optimizer with MathOptInterface | ||
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| Polyhedra Optimizers by dafault support only a few constraint types in MathOptInterface (MOI). |
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| Let us solve this program with `CDDLib.Optimizer` in exact arithmetic. | ||
| To set up: | ||
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| ``` | ||
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| To solve: | ||
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| ```julia | ||
| MOI.optimize!(optimizer) | ||
| MOI.get(optimizer, MOI.VariablePrimal(), x) | ||
| ``` |
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The standard way is to add the output in the same code block after an #output comment like https://juliadocs.github.io/Documenter.jl/stable/man/doctests/#%22Script%22-Examples-1
We could turn it into a doctest later by using a MOIU.MockOptimizer so that we don't require CDDLib (that's what we do for JuMP's doctests).
| @@ -126,3 +126,66 @@ m = Model() | |||
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| poly = polyhedron(m, CDDLib.Library(:exact)) | |||
| ``` | |||
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| ## Using a Polyhedra Optimizer with MathOptInterface | |||
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Explain why one would use MOI directly instead of with JuMP (which is recommended) which is simply Model(with_optimizer(CDDLib.Optimizer)). The reason could be that JuMP only does Float64 arithmetic while CDD allows rational arithmetic.
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