I am a little unsure about the difference between these packages. How to know whether I should use optimization.jl or convex.jl? I am pretty used to disciplined convex programming (convex.jl covers it nicely), but Idk when optimization.jl can become a better tool. PS: I am not an optimizer expert, s…

Optimization.jl can be used to solve constrained nonlinear programs, but it doesn’t support conic solvers like SCS or Mosek, and it doesn’t support things like semidefinite programs. If you want to stay in the DCP world, then use Convex.jl. If you’re looking to branch out into different types of pr…

Convex.jl vs. optimization.jl

Specific Domains Optimization (Mathematical)

tapyu August 4, 2023, 3:14pm 3

I just see that JuMP does include Convex.jl. Therefore, it solves DCP problems, doesn’t? If so, can I focus only on JuMP.jl and ignore Convex.jl and optimization.jl as it covers both?

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Convex.jl vs. optimization.jl

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