useful-math-functions 0.6.0

useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...

useful-math-functions

useful-math-functions is a collection of useful mathematical functions with a focus on:

1. ease of use - the functions are designed to be as easy to use as possible
2. pure python - the functions are written in much python as possible and only use external libraries when necessary
3. documentation - the functions are documented in code itself with:
   1. Examples
   2. Equations
   3. References
   4. Links to external resources

Installation

The package can be installed via pip:

pip install useful-math-functions

PyPI: useful-math-functions on PyPI

and for Visualizations:

# matplotlib
pip install useful-math-functions[matplotlib]

# plotly
pip install useful-math-functions[plotly]

# all visualizations
pip install useful-math-functions[all]

Usage

The package can be imported like any other python package:

from umf.core.create import OptBench
res = OptBench(["DeJongN5Function"], dim=3)
res.plot_type_3d = "plot_surface"
res.plot()
res.save_as_image()

To use the newly added functions:

from umf.functions.optimization.special import HimmelblauFunction
import numpy as np

x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(x, y)
Z = HimmelblauFunction(X, Y).__eval__

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")
ax.plot_surface(X, Y, Z, cmap="viridis")
plt.savefig("HimmelblauFunction.png", dpi=300, transparent=True)

from umf.functions.optimization.valley_shaped import Rosenbrock2DFunction
import numpy as np

x = np.linspace(-2, 2, 100)
y = np.linspace(-1, 3, 100)
X, Y = np.meshgrid(x, y)
Z = RosenbrockFunction(X, Y).__eval__

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection="3d")
ax.plot_surface(X, Y, Z, cmap="viridis")
plt.savefig("RosenbrockFunction.png", dpi=300, transparent=True)

Documentation

The project documentation contains API references and usage examples.

Contributing

Contributions are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

The project is licensed under the MIT license.