quadexpo 1.4

A mathematical library implementing the Quadexpo function

Quadexpo 1.4

A Python library implementing the Quadexpo function for modeling complex systems involving both quadratic and exponential behaviors.

What's New in 1.4?

• Object-Oriented Design: Use a class-based approach for easy function manipulation.
• Symbolic Integration Support: Compute symbolic integrals using SymPy.
• Data Handling: Generate and analyze function evaluations using Pandas.
• Expanded Test Suite: More robust tests covering symbolic computation and data generation.

Installation

pip install quadexpo

Usage

from quadexpo import Quadexpo
import numpy as np

# Initialize with parameters
qe = Quadexpo(1, -2, 3, 0.5)

# Evaluate at a point
print(qe.evaluate(5))

# Compute definite integral
print(qe.integrate(0, 5))

# Get symbolic integral
print(qe.symbolic_integral())

# Generate function data
x_vals = np.linspace(0, 10, 10)
df = qe.generate_data(x_vals)
print(df)

License

MIT License