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-rw-r--r--buch/papers/laguerre/scripts/targets.py58
1 files changed, 58 insertions, 0 deletions
diff --git a/buch/papers/laguerre/scripts/targets.py b/buch/papers/laguerre/scripts/targets.py
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+++ b/buch/papers/laguerre/scripts/targets.py
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+import numpy as np
+import scipy.special
+
+import gamma_approx as ga
+
+
+def find_best_loc(N=200, a=1.375, b=0.5, ns=None):
+ if ns is None:
+ ns = np.arange(2, 13)
+ bests = []
+ step = 1 / (N - 1)
+ x = np.linspace(step, 1 - step, N + 1)
+ gamma = scipy.special.gamma(x)
+ for n in ns:
+ zeros, weights = np.polynomial.laguerre.laggauss(n)
+ est = np.ceil(b + a * n)
+ targets = np.arange(max(est - 2, 0), est + 3)
+ rel_error = []
+ for target in targets:
+ gamma_lag = ga.eval_laguerre_gamma(x, target=target, x=zeros, w=weights, func="shifted")
+ rel_error.append(np.abs(ga.calc_rel_error(gamma, gamma_lag)))
+ rel_error = np.stack(rel_error, -1)
+ best = np.argmin(rel_error, -1) + targets[0]
+ bests.append(best)
+ return np.stack(bests, 0)
+
+
+if __name__ == "__main__":
+ import matplotlib as mpl
+ import matplotlib.pyplot as plt
+
+ mpl.rcParams.update(
+ {
+ "mathtext.fontset": "stix",
+ "font.family": "serif",
+ "font.serif": "TeX Gyre Termes",
+ }
+ )
+
+ N = 200
+ ns = np.arange(1, 13)
+
+ bests = find_best_loc(N, ns=ns)
+
+ fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(3.5, 2.1))
+ v = ax.imshow(bests, cmap=ga.cmap, aspect="auto", interpolation="nearest")
+ plt.colorbar(v, ax=ax, label=r"$m^*$")
+ ticks = np.arange(0, N + 1, N // 5)
+ ax.set_xlim(0, 1)
+ ax.set_xticks(ticks)
+ ax.set_xticklabels([f"{v:.2f}" for v in ticks / N])
+ ax.set_xticks(np.arange(0, N + 1, N // 20), minor=True)
+ ax.set_yticks(np.arange(len(ns)))
+ ax.set_yticklabels(ns)
+ ax.set_xlabel(r"$z$")
+ ax.set_ylabel(r"$n$")
+ # fig.savefig(f"{ga.img_path}/targets.pgf")
+ fig.savefig(f"{ga.img_path}/targets.pdf")