MadNLP/MadNLPBenchmark.jl
MadNLP/MadNLPBenchmark.jl: A set of benchmarks for ... - GitHub
MadNLPBenchmark. This package implements a set of benchmarks for the nonlinear solver MadNLP. MadNLPBenchmark.jl is using Makefile as an interface to install ...
jl Public. A set of benchmarks for MadNLP. MadNLP/MadNLPBenchmark.jl's past year of commit activity. Julia 1 1 0 0 Updated on Oct 2. COPSBenchmark.jl Public.
MadNLP is an open-source nonlinear programming solver, purely implemented in Julia. MadNLP implements a filter line-search interior-point algorithm, as used in ...
Users can pass various options to MadNLP also through the modeling packages. The interface-specific syntax are shown below. To see the list of MadNLP solver ...
Termination tolerance. The default value is 1e-8 for double precision. The solver terminates if the scaled primal, dual, complementary infeasibility is less ...
MadNLP.jl · A solver for nonlinear programming. optimizationjulia-languagenonlinear-programming · 14 ; MadNLPBenchmark.jl · A set of benchmarks for ...
It seems that MadNLP does not support general NLP problem
jl · GitHub as detailed in their NEWS.md. Edit: When I run your code snipped on MadNLP v0.8.3 , it runs: julia> optimize!(m) This is ...
MadNLP.jl: A Mad Nonlinear Programming Solver | Sungho Shin
This talk was presented as part of JuliaCon2021 Abstract: We present a native-Julia nonlinear programming (NLP) solver MadNLP.jl.
ExaModels.jl and MadNLP.jl on GPUs - Julia Discourse
ExaModels and MadNLP: Solving Large-Scale Nonlinear Programs on GPUs We are pleased to announce that ExaModels v0.6 and MadNLP v0.8 now have ...