Interior-point algorithms have limited capability for what-if analysis

Question

Quizplus · Accepted Answer

Interior-point algorithms are efficient for optimizing large-scale linear and quadratic programming problems. However, they are not designed for what-if analysis, which involves modifying parameters of the model and rerunning the optimization to see the effect on the solution. Other methods such as sensitivity analysis or stochastic programming are more suitable for what-if analysis.

Interior-Point Algorithms Have Limited Capability for What-If Analysis