Comments (1)
blegat
commented on June 8, 2024
This might be related: We started a project to abstract all the code we have in JuMP/src/operator.jl to rewrite LinearAlgebra and SparseArrays code for JuMP expressions:
https://github.com/JuliaOpt/MutableArithmetics.jl/blob/master/src/linear_algebra.jl
The approach would be to create an abstract type so that if Parametron.Variable is a subtype of this abstract type, the call is dispatched to MutableArithmetics instead of LinearAlgebra/SparseArrays. Then the multiplication will exploit the mutability of the expressions created and will compute the element type of the resulting array correctly (usually, what is used in SparseArrays doesn't work as it start by promoting the type of both array to a common type so it the product of an array of Int and an array of Variable gives quadratic expressions).
from parametron.jl.
Related Issues (20)
- Version tag HOT 1
- Can't reproduce zero-allocation examples HOT 3
- Parameters with initial NaN values seem to poison the model HOT 1
- My parameters are not updated when I re-solve it? HOT 3
- Cannot add latest version of Parametron HOT 6
- Support for Non-linear constraints / objective HOT 4
- Julia REPL crushes at @objective line in first README example HOT 2
- dot broken for 0-length vectors on 0.7 HOT 1
- "unsupported objective" for empty feasibility problems
- Missing optimization for `::Number * AbstractVector{<:Number}`
- Allocations in powers with literal exponents HOT 2
- Deferring evaluation of mutable objects HOT 7
- `LazyExpression`s and broadcasting HOT 2
- Dealing with FunctionWrappers HOT 1
- CI broken until new GLPK tag HOT 2
- Bad data passed to solver HOT 8
- `:tuple` expressions not handled HOT 3
- Optimization for x' * A * x
- Performance of FunctionWrappersQuickFix HOT 3
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from parametron.jl.