A Julia framework combines Plasmo.jl and MadNLP.jl to model and solve graph-structured nonlinear optimization problems, demonstrated on a large stochastic gas network instance with over 1.7 million variables.
An interior-point method for efficient solution of block-structured nlp problems using an implicit schur-complement decomposition
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A Julia Framework for Graph-Structured Nonlinear Optimization
A Julia framework combines Plasmo.jl and MadNLP.jl to model and solve graph-structured nonlinear optimization problems, demonstrated on a large stochastic gas network instance with over 1.7 million variables.