SciPy Optimizers & Root Finding

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Master finding local minima and non-linear roots using the scipy.optimize module.

Root Finding with root()

Finding the root of an equation means locating the values of x where f(x) = 0. SciPy provides the general-purpose scipy.optimize.root function.

Finding Roots of an Equation

Try It Yourself »

from scipy.optimize import root
import math

def equation(x):
    # Solve: x + cos(x) = 0
    return x + math.cos(x)

result = root(equation, x0=0)
print("Root location x:", round(float(result.x[0]), 4))
print("Did convergence succeed?:", result.success)

Minimizing Objective Functions

In machine learning, cost modeling, and engineering, minimizing an objective function is central. The scipy.optimize.minimize function finds the local minimum of a function with optional bounds and constraints.

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Test Yourself With Exercise

+15 XP

Which SciPy function is used to locate the minimum of a continuous objective function?

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