Piecewise Linear Approximations Simplify Nonlinear Optimization Problems

A new Towards Data Science guide explains how piecewise linear approximations enable solving complex nonlinear constrained optimization problems using simpler linear programming and mixed-integer programming methods. This technique matters for data scientists and engineers needing practical solutions to otherwise computationally intractable problems.