Chapter 13: SciPy Optimize

Many scientific and engineering problems reduce to finding optimal values — minimizing cost, fitting a model to data, or locating where a function crosses zero. This chapter introduces SciPy's optimize module for function minimization, constrained optimization, curve fitting, and root finding.

13.1 Overview

• scipy.optimize Overview

13.2 Minimization

• Minimize Basics
• Optimization Methods
• Local vs Global Optimization

13.3 Constrained Optimization

• Constrained Optimization

13.4 Curve Fitting

• Curve Fitting with curve_fit

13.5 Root Finding

• Root and Scalar Root Finding