A new perspective on parameter study of optimization problems

We provide a new perspective on the study of parameterized optimization problems. Our approach combines methods for post-optimal sensitivity analysis and ordinary differential equations to quantify uncertainty in minimizer due uncertain parameters problem. illustrate proposed with simple analytic example an inverse problem governed by advection diffusion equation.