Differentiating Parametric JuMP Models in Julia

Differentiating Parametric JuMP Models in Julia

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn how to differentiate parametric JuMP models in this 12-minute talk from The Julia Programming Language. Explore the combination of DiffOpt and ParametricOptInterface packages to efficiently differentiate and re-solve optimization models with parameters in multiple parts. Discover the practical applications of this functionality and see a demonstration of effective layer combination. Cover topics including introduction, definition, use cases, sources of help, XEOptimization parameters, and POI Optimizer.