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Three changes in order to make solve! of R2 non allocating.
solve!
ShiftedProximalOperators
prox!
test_allocs.jl
@wrappedallocs
The text was updated successfully, but these errors were encountered:
Do you think it is beneficial to precise the type of statswithin R2 as follows ?
stats
R2
stats = GenericExecutionStats(reg_nlp.model, solver_specific = Dict{Symbol, Union{Float64, Vector{Float64}, Vector{Int64}}}())
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@MohamedLaghdafHABIBOULLAH Yes it definitely would, but you don’t want to use Float64. Instead, use the element type of the NLPModel.
Float64
Also, just use Int instead of Int64 (Int = Int64 on 64-bit platforms).
Int
Int64
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Three changes in order to make
solve!
of R2 non allocating.ShiftedProximalOperators
in order to use non allocatingprox!
of L0, L1, Rank and Nuclear norm.test_allocs.jl
file based on@wrappedallocs
macro.@dpo @MaxenceGollier
The text was updated successfully, but these errors were encountered: