Comments (1)
To avoid this:
status = solve(m)
x = zeros(m,n)
for i = 1:m
for j = 1:n
x[i,j] = getValue(x[i,j])
end
end
from jump.jl.
Related Issues (20)
- NumFOCUS: GSoC 2024 Update HOT 1
- Error vcat(::NonlinearExpr, ::VariableRef, ::Float64) HOT 5
- Increase performance of SOC constraints HOT 4
- Iterating SparseAxisArray does not preserve order HOT 4
- How to improve the speed to build a complex model? HOT 2
- Coefficients of complex variables created with a GenericModel are always Float64
- LinearAlgebra.hermitian is incorrect
- *(::Real, ::Hermitian) is not hermitian HOT 5
- Cannot `convert` an object of type Float64 to an object of type JuMP.NonlinearExpr HOT 3
- Documentation Request: List whether a solver supports Indicator Constraints HOT 4
- Bullet point alignment in bibliography HOT 9
- Multiplication of matrix expression and variables leads to stack overflow and matmul error HOT 4
- Multiple Ranges for variables HOT 3
- Y' when Y is of type ::Matrix{NonlinearExpr} HOT 1
- Poor performance in complementarity models HOT 23
- Add a method for Complex(a,b) HOT 8
- MethodError with empty summations HOT 1
- Nonlinear subexpressions
- Should error when trying to mix `NonlinearExpression` and `GenericNonlinearExpr` HOT 1
- Support normalized_coefficient for vector-valued constraints
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from jump.jl.