Handling Nonlinear Constrained Optimization with Piecewise Approximations
Nonlinear Constrained Optimization is a major hurdle for developers building complex business logic. This guide explores using Piecewise Linear (PWL) approximations and SOS Type 2 constraints to linearize complex objective functions. Learn how to leverage LP/MIP solvers for high-performance, stable results without relying on expensive, specialized nonlinear solver software.