Benoît Legat

Merge `RowEchelon.jl` into `LinearAlgebra.jl`

10

See https://github.com/JuliaLang/julia/pull/9804

At the moment, there is a warning: ``` ┌ Warning: `PlotlyKaleido` 2.2.0 is not compatible with this version of `Plots`. The declared compatibility is 1. └ @ Plots ~/.julia/dev/Plots/src/backends.jl:55 ```...

promote_eltype for LinearAlgebra and SparseArrays types

1

Would it make sense to implement `promote_eltype` in this package for the LinearAlgebra and SparseArrays types. I see many functions of the ArrayInterface API are already implemented for such types....

Outdated note in the docs about JuMP not supporting arbitrary precision

1

The note here: https://oxfordcontrol.github.io/COSMO.jl/stable/literate/build/arbitrary_precision/ is outdated as JuMP now supports arbitrary precision (as of v1.13)

Clarify documentation

2

See https://github.com/jump-dev/Convex.jl/pull/504?notification_referrer_id=NT_kwDOAA_-jbI2OTg4NDY4NTE4OjEwNDgyMDU#discussion_r1434608140

Warmstarting was removed in https://github.com/jump-dev/Convex.jl/pull/504, it should be added back before releasing In particular, we should revert the following which removes warmstarting in the docs: https://github.com/jump-dev/Convex.jl/pull/504/commits/10ed4448642bb8f86b864d7f88e373bd202dd390 https://github.com/jump-dev/Convex.jl/pull/504/commits/a50cff64b8c6a83948db219f99da4d4cfa57b662

https://github.com/jump-dev/Convex.jl/blob/c6a21df2979dc1eaf60674f7f4b1324a4f30f8b8/src/atoms/sdp_cone/trace_mpower.jl#L78 is failing with `BigFloat` with ``` MethodError: no method matching eigen!(::Symmetric{Double64, Matrix{Double64}}; sortby::Nothing) Closest candidates are: eigen!(::Union{Hermitian{T, var"#s967"}, Hermitian{Complex{T}, var"#s967"}, Symmetric{T, var"#s967"}} where var"#s967"

Start in interior of variable bounds

5

As highlighted in https://github.com/JuliaNLSolvers/Optim.jl/issues/1071, most tests were failing because the starting point was infeasible. With this PR, most are now passing. The remaining ones to investigate are: * `test_nonlinear_expression_hs071` :...

IPNewton : start is not an interior point

1

Some MOI unit tests in https://github.com/JuliaNLSolvers/Optim.jl/blob/master/test/MOI_wrapper.jl are failing because the initial point is not an interior point. For instance: ```julia import Optim import MathOptInterface as MOI model = MOI.instantiate(Optim.Optimizer, with_cache_type...