"""Exact original quadratic energies; Python 3.14, numpy 2.3.5, matplotlib 3.10.7.""" from pathlib import Path import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt import numpy as np def main(): plt.rcParams.update({"font.size": 11, "axes.facecolor": "white"}) k = np.arange(21) fig, axes = plt.subplots(1, 2, figsize=(10.2, 5.0), dpi=120) fig.patch.set_facecolor("white") histories = [ (0.1, 2 * 0.81 ** k + 4.5 * 0.01 ** k, "#33865d"), (0.2, 6.5 * 0.64 ** k, "#176c9c"), (0.25, 2 * (9 / 16) ** k + 4.5 * (25 / 16) ** k, "#bd4729"), ] for eta, energy, color in histories: axes[0].plot(k[:4], energy[:4], "o-", color=color, lw=2, ms=5, label=f"η = {eta:g}") axes[1].semilogy(k, energy, "o-", color=color, lw=2, ms=3.5, label=f"η = {eta:g}") axes[0].set(title="First three updates", xlim=(-0.12, 3.12), ylim=(0, 19), xlabel="Iteration k", ylabel=r"Energy $E_k=f(x_k)-f(0)$") axes[0].set_xticks(range(4)) axes[0].legend(loc="upper left", frameon=True, facecolor="white") axes[0].annotate("η = 0.1 wins the first step", xy=(1, 1.665), xytext=(1.1, 5.9), color="#33865d", fontsize=10, arrowprops={"arrowstyle": "->", "color": "#33865d"}) axes[1].set(title="Longer history (log energy)", xlim=(0, 20), xlabel="Iteration k", ylabel=r"Energy $E_k$ (log scale)") axes[1].set_xticks([0, 5, 10, 15, 20]) axes[1].text(6.5, 2e4, "unstable mode: factor 25/16", color="#bd4729", fontsize=10) axes[1].text(7, 0.007, "η = 0.2: exact factor 0.64", color="#176c9c", fontsize=10) axes[1].text(7, 0.3, "η = 0.1: slow factor 0.81", color="#33865d", fontsize=10) for ax in axes: ax.grid(True, alpha=0.23) ax.spines[["top", "right"]].set_visible(False) fig.suptitle(r"Exact energies for $f(x)=\frac{1}{2}(x_1^2+9x_2^2)$, starting at $(2,1)$", fontsize=14, y=0.98) fig.text(0.5, 0.025, "Constructed mathematical example; points evaluated from the exact energy formulas.", ha="center", fontsize=10) fig.subplots_adjust(left=0.08, right=0.97, top=0.81, bottom=0.14, wspace=0.30) fig.savefig(Path.cwd() / (Path(__file__).stem + ".png"), facecolor="white", transparent=False) plt.close(fig) if __name__ == "__main__": main()