info: https://github.com/JuliaSmoothOptimizers/NLPModelsIpopt.jl/blob/main/src/NLPModelsIpopt.jl#L119 options of ipopt: https://coin-or.github.io/Ipopt/OPTIONS.html callback: https://github.com/jump-dev/Ipopt.jl#solver-specific-callback solution field 'stats': https://juliasmoothoptimizers.github.io/SolverCore.jl/stable/reference/#SolverCore.GenericExecutionStats We typically use the non-default options: - mu_strategy="adaptive" appears better than the default option (monotone) for OCP problems - sb="yes" to remove the ipopt header at the start Informations of IPOPT - What is the primal_inf in IPOPT ? - What is exactly the dual_inf (dual feasibility) in IPOPT ? - https://coin-or.github.io/Ipopt/OUTPUT.html - https://link.springer.com/article/10.1007/s10107-004-0559-y
info: https://github.com/JuliaSmoothOptimizers/NLPModelsIpopt.jl/blob/main/src/NLPModelsIpopt.jl#L119
options of ipopt: https://coin-or.github.io/Ipopt/OPTIONS.html
callback: https://github.com/jump-dev/Ipopt.jl#solver-specific-callback
solution field 'stats': https://juliasmoothoptimizers.github.io/SolverCore.jl/stable/reference/#SolverCore.GenericExecutionStats
We typically use the non-default options:
Informations of IPOPT