Description

Code to conduct experiments for the paper Adaptive Gauss-Newton Method for Solving Systems of Nonlinear Equations.

Overview

• run_experiments.py — main script to perform experiments;
• oracles.py — contains classes for optimization criteria;
• opt_utils.py — auxiliary functions for optimizers;
• optimizers.py — contains Gauss-Newton optimization algorithms;
• benchmark_utils.py — routines for designed experiments;
• plotting.py — routines for plotting results;
• print_time.py — routines for registering time measurements.

Print help in command line in repository directory to list all hyperparameters of the experiments:

    python run_experiments.py -h

Run the following command in command line in repository directory to obtain all experiment data in current directory:

    python run_experiments.py

Requirements

• NumPy;
• Matplotlib;
• Seaborn.

References

[1] Yudin, N.E. Adaptive Gauss–Newton Method for Solving Systems of Nonlinear Equations // Doklady Mathematics, 2021, vol. 104, no. 2, pp. 293-296, doi: https://doi.org/10.1134/S1064562421050161.