Piecewise-polynomial modeling for analog circuit performance metrics

In nano-scale IC technologies, analog performance metrics are highly non-linear and cannot be accurately captured by traditional response surface models. In this paper, we propose a piecewise modeling algorithm that optimally partitions the parameter space into several regions and, on each of them, fits a linear or a quadratic function to the performance metrics. This piecewise modeling strategy efficiently combines good global and local approximation properties.