11 files changed, 622 insertions, 0 deletions
diff --git a/buch/papers/laguerre/scripts/estimates.py b/buch/papers/laguerre/scripts/estimates.py
new file mode 100644
index 0000000..1acd7f7
--- /dev/null
+++ b/buch/papers/laguerre/scripts/estimates.py
@@ -0,0 +1,49 @@
+if __name__ == "__main__":
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    import gamma_approx as ga
+    import targets
+
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+    
+    N = 200
+    ns = np.arange(1, 13)
+    step = 1 / (N - 1)
+    x = np.linspace(step, 1 - step, N + 1)
+
+    bests = targets.find_best_loc(N, ns=ns)
+    mean_m = np.mean(bests, -1)
+
+    intercept, bias = np.polyfit(ns, mean_m, 1)
+    fig, axs = plt.subplots(
+        2, num=1, sharex=True, clear=True, constrained_layout=True, figsize=(4.5, 3.6)
+    )
+    xl = np.array([ns[0] - 0.5, ns[-1] + 0.5])
+    axs[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$")
+    axs[0].plot(ns, mean_m, "x", label=r"$\overline{m}$")
+    axs[1].plot(
+        ns, ((intercept * ns + bias) - mean_m), "-x", label=r"$\hat{m} - \overline{m}$"
+    )
+    axs[0].set_xlim(*xl)
+    axs[0].set_xticks(ns)
+    axs[0].set_yticks(np.arange(np.floor(mean_m[0]), np.ceil(mean_m[-1]) + 0.1, 2))
+    # axs[0].set_title("Schätzung von Mittelwert")
+    # axs[1].set_title("Fehler")
+    axs[-1].set_xlabel(r"$n$")
+    for ax in axs:
+        ax.grid(1)
+        ax.legend()
+    # fig.savefig(f"{ga.img_path}/estimates.pgf")
+    fig.savefig(f"{ga.img_path}/estimates.pdf")
+
+    print(f"Intercept={intercept:.6g}, Bias={bias:.6g}")
+    predicts = np.ceil(intercept * ns[:, None] + bias - np.real(x))
+    print(f"Error: {np.mean(np.abs(bests - predicts))}")
diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py
new file mode 100644
index 0000000..5b09e59
--- /dev/null
+++ b/buch/papers/laguerre/scripts/gamma_approx.py
@@ -0,0 +1,116 @@
+from pathlib import Path
+
+import numpy as np
+import scipy.special
+
+EPSILON = 1e-7
+root = str(Path(__file__).parent)
+img_path = f"{root}/../images"
+fontsize = "medium"
+cmap = "plasma"
+
+
+def _prep_zeros_and_weights(x, w, n):
+    if x is None or w is None:
+        return np.polynomial.laguerre.laggauss(n)
+    return x, w
+
+
+def drop_imag(z):
+    if abs(z.imag) <= EPSILON:
+        z = z.real
+    return z
+
+
+def pochhammer(z, n):
+    return np.prod(z + np.arange(n))
+
+
+def find_optimal_shift(z, n):
+    mhat = 1.34093 * n + 0.854093
+    steps = int(np.floor(mhat - np.real(z)))
+    return steps
+
+
+def get_shifting_factor(z, steps):
+    factor = 1.0
+    if steps > 0:
+        factor = 1 / pochhammer(z, steps)
+    elif steps < 0:
+        factor = pochhammer(z + steps, -steps)
+    return factor
+
+
+def laguerre_gamma_shifted(z, x=None, w=None, n=8, target=11):
+    x, w = _prep_zeros_and_weights(x, w, n)
+    n = len(x)
+
+    z += 0j
+    steps = int(np.floor(target - np.real(z)))
+    z_shifted = z + steps
+    correction_factor = get_shifting_factor(z, steps)
+
+    res = np.sum(x ** (z_shifted - 1) * w)
+    res *= correction_factor
+    res = drop_imag(res)
+    return res
+
+
+def laguerre_gamma_opt_shifted(z, x=None, w=None, n=8):
+    if z == 0.0:
+        return np.infty
+    x, w = _prep_zeros_and_weights(x, w, n)
+    n = len(x)
+
+    z += 0j
+    opt_shift = find_optimal_shift(z, n)
+    correction_factor = get_shifting_factor(z, opt_shift)
+    z_shifted = z + opt_shift
+
+    res = np.sum(x ** (z_shifted - 1) * w)
+    res *= correction_factor
+    res = drop_imag(res)
+    return res
+
+
+def laguerre_gamma_simple(z, x=None, w=None, n=8):
+    if z == 0.0:
+        return np.infty
+    x, w = _prep_zeros_and_weights(x, w, n)
+    z += 0j
+    res = np.sum(x ** (z - 1) * w)
+    res = drop_imag(res)
+    return res
+
+
+def laguerre_gamma_mirror(z, x=None, w=None, n=8):
+    if z == 0.0:
+        return np.infty
+    x, w = _prep_zeros_and_weights(x, w, n)
+    z += 0j
+    if z.real < 1e-3:
+        return np.pi / (
+            np.sin(np.pi * z) * laguerre_gamma_simple(1 - z, x, w)
+        )  # Reflection formula
+    return laguerre_gamma_simple(z, x, w)
+
+
+def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs):    
+    x, w = _prep_zeros_and_weights(x, w, n)    
+    if func == "simple":
+        f = laguerre_gamma_simple
+    elif func == "mirror":
+        f = laguerre_gamma_mirror
+    elif func == "optimal_shifted":
+        f = laguerre_gamma_opt_shifted
+    else:
+        f = laguerre_gamma_shifted
+    return np.array([f(zi, x, w, n, **kwargs) for zi in z])
+
+
+def calc_rel_error(x, y):
+    mask = np.abs(x) != np.infty
+    rel_error = np.zeros_like(y)
+    rel_error[mask] = (y[mask] - x[mask]) / x[mask]
+    rel_error[~mask] = 0.0
+    return rel_error
diff --git a/buch/papers/laguerre/scripts/integrand.py b/buch/papers/laguerre/scripts/integrand.py
new file mode 100644
index 0000000..e970721
--- /dev/null
+++ b/buch/papers/laguerre/scripts/integrand.py
@@ -0,0 +1,42 @@
+#!/usr/bin/env python3
+# -*- coding:utf-8 -*-
+"""Plot for integrand of gamma function with shifting terms."""
+
+if __name__ == "__main__":
+    import os
+    from pathlib import Path
+
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+    
+    EPSILON = 1e-12
+    xlims = np.array([-3, 3])
+
+    root = str(Path(__file__).parent)
+    img_path = f"{root}/../images"
+    os.makedirs(img_path, exist_ok=True)
+
+    t = np.logspace(*xlims, 1001)[:, None]
+
+    z = np.array([-4.5, -2, -1, -0.5, 0.0, 0.5, 1, 2, 4.5])
+    r = t ** z
+
+    fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(4, 2.4))
+    ax.semilogx(t, r)
+    ax.set_xlim(*(10.0 ** xlims))
+    ax.set_ylim(1e-3, 40)
+    ax.set_xlabel(r"$x$")
+    # ax.set_ylabel(r"$x^z$")
+    ax.grid(1, "both")
+    labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)]
+    ax.legend(labels, ncol=2, loc="upper left", fontsize="small")
+    fig.savefig(f"{img_path}/integrand.pdf")
diff --git a/buch/papers/laguerre/scripts/integrand_exp.py b/buch/papers/laguerre/scripts/integrand_exp.py
new file mode 100644
index 0000000..e649b26
--- /dev/null
+++ b/buch/papers/laguerre/scripts/integrand_exp.py
@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+# -*- coding:utf-8 -*-
+"""Plot for integrand of gamma function with shifting terms."""
+
+if __name__ == "__main__":
+    import os
+    from pathlib import Path
+
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+    
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+
+    EPSILON = 1e-12
+    xlims = np.array([-3, 3])
+
+    root = str(Path(__file__).parent)
+    img_path = f"{root}/../images"
+    os.makedirs(img_path, exist_ok=True)
+
+    t = np.logspace(*xlims, 1001)[:, None]
+
+    z = np.array([-1, -0.5, 0.0, 0.5, 1, 2, 3, 4, 4.5])
+    e = np.exp(-t)
+    r = t ** z * e
+
+    fig, ax = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(4, 2.4))
+    ax.semilogx(t, r)
+    # ax.plot(t,np.exp(-t))
+    ax.set_xlim(10 ** (-2), 20)
+    ax.set_ylim(1e-3, 10)
+    ax.set_xlabel(r"$x$")
+    # ax.set_ylabel(r"$x^z e^{-x}$")
+    ax.grid(1, "both")
+    labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)]
+    ax.legend(labels, ncol=2, loc="upper left", fontsize="small")
+    # fig.savefig(f"{img_path}/integrand_exp.pgf")
+    fig.savefig(f"{img_path}/integrand_exp.pdf")
+    # plt.show()
diff --git a/buch/papers/laguerre/scripts/laguerre_poly.py b/buch/papers/laguerre/scripts/laguerre_poly.py
new file mode 100644
index 0000000..05db5d3
--- /dev/null
+++ b/buch/papers/laguerre/scripts/laguerre_poly.py
@@ -0,0 +1,108 @@
+import numpy as np
+
+
+def get_ticks(start, end, step=1):
+    ticks = np.arange(start, end, step)
+    return ticks[ticks != 0]
+
+
+if __name__ == "__main__":
+    import os
+    from pathlib import Path
+
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import scipy.special as ss
+    
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+
+    N = 1000
+    step = 5
+    t = np.linspace(-1.05, 10.5, N)[:, None]
+    root = str(Path(__file__).parent)
+    img_path = f"{root}/../images"
+    os.makedirs(img_path, exist_ok=True)
+
+    # fig = plt.figure(num=1, clear=True, tight_layout=True, figsize=(5.5, 3.7))
+    # ax = fig.add_subplot(axes_class=AxesZero)
+    fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4))
+    for n in np.arange(0, 8):
+        k = np.arange(0, n + 1)[None]
+        L = np.sum((-1) ** k * ss.binom(n, k) / ss.factorial(k) * t ** k, -1)
+        ax.plot(t, L, label=f"$n={n}$")
+
+    ax.set_xticks(get_ticks(int(t[0]), t[-1]), minor=True)
+    ax.set_xticks(get_ticks(0, t[-1], step))
+    ax.set_xlim(t[0], t[-1] + 0.1 * (t[1] - t[0]))
+    ax.set_xlabel(r"$x$", x=1.0, labelpad=-10, rotation=0, fontsize="large")
+
+    ylim = 13
+    ax.set_yticks(get_ticks(-ylim, ylim), minor=True)
+    ax.set_yticks(get_ticks(-step * (ylim // step), ylim, step))
+    ax.set_ylim(-ylim, ylim)
+    ax.set_ylabel(r"$y$", y=0.95, labelpad=-14, rotation=0, fontsize="large")
+
+    ax.legend(ncol=2, loc=(0.125, 0.01), fontsize="large")
+
+    # set the x-spine
+    ax.spines[["left", "bottom"]].set_position("zero")
+    ax.spines[["right", "top"]].set_visible(False)
+    ax.xaxis.set_ticks_position("bottom")
+    hlx = 0.4
+    dx = t[-1, 0] - t[0, 0]
+    dy = 2 * ylim
+    hly = dy / dx * hlx
+    dps = fig.dpi_scale_trans.inverted()
+    bbox = ax.get_window_extent().transformed(dps)
+    width, height = bbox.width, bbox.height
+
+    # manual arrowhead width and length
+    hw = 1.0 / 60.0 * dy
+    hl = 1.0 / 30.0 * dx
+    lw = 0.5  # axis line width
+    ohg = 0.0  # arrow overhang
+
+    # compute matching arrowhead length and width
+    yhw = hw / dy * dx * height / width
+    yhl = hl / dx * dy * width / height
+
+    # draw x and y axis
+    ax.arrow(
+        t[-1, 0] - hl,
+        0,
+        hl,
+        0.0,
+        fc="k",
+        ec="k",
+        lw=lw,
+        head_width=hw,
+        head_length=hl,
+        overhang=ohg,
+        length_includes_head=True,
+        clip_on=False,
+    )
+
+    ax.arrow(
+        0,
+        ylim - yhl,
+        0.0,
+        yhl,
+        fc="k",
+        ec="k",
+        lw=lw,
+        head_width=yhw,
+        head_length=yhl,
+        overhang=ohg,
+        length_includes_head=True,
+        clip_on=False,
+    )
+
+    # fig.savefig(f"{img_path}/laguerre_poly.pgf")
+    fig.savefig(f"{img_path}/laguerre_poly.pdf")
+    # plt.show()
diff --git a/buch/papers/laguerre/scripts/rel_error_complex.py b/buch/papers/laguerre/scripts/rel_error_complex.py
new file mode 100644
index 0000000..4a714fa
--- /dev/null
+++ b/buch/papers/laguerre/scripts/rel_error_complex.py
@@ -0,0 +1,43 @@
+if __name__ == "__main__":
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import scipy.special
+
+    import gamma_approx as ga
+
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+    
+    xmax = 4
+    vals = np.linspace(-xmax + ga.EPSILON, xmax, 100)
+    x, y = np.meshgrid(vals, vals)
+    mesh = x + 1j * y
+    input = mesh.flatten()
+
+    lanczos = scipy.special.gamma(mesh)
+    lag = ga.eval_laguerre_gamma(input, n=8, func="optimal_shifted").reshape(mesh.shape)
+    rel_error = np.abs(ga.calc_rel_error(lanczos, lag))
+
+    fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(3.5, 2.1))
+    _c = ax.pcolormesh(
+        x, y, rel_error, shading="gouraud", cmap=ga.cmap, norm=mpl.colors.LogNorm()
+    )
+    cbr = fig.colorbar(_c, ax=ax)
+    cbr.minorticks_off()
+    # ax.set_title("Relative Error")
+    ax.set_xlabel("Re($z$)")
+    ax.set_ylabel("Im($z$)")
+    minor_ticks = np.arange(-xmax, xmax + ga.EPSILON)
+    ticks = np.arange(-xmax, xmax + ga.EPSILON, 2)
+    ax.set_xticks(ticks)
+    ax.set_xticks(minor_ticks, minor=True)
+    ax.set_yticks(ticks)
+    ax.set_yticks(minor_ticks, minor=True)
+    fig.savefig(f"{ga.img_path}/rel_error_complex.pdf")
+    # plt.show()
diff --git a/buch/papers/laguerre/scripts/rel_error_mirror.py b/buch/papers/laguerre/scripts/rel_error_mirror.py
new file mode 100644
index 0000000..7348d5e
--- /dev/null
+++ b/buch/papers/laguerre/scripts/rel_error_mirror.py
@@ -0,0 +1,38 @@
+if __name__ == "__main__":
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import scipy.special
+
+    import gamma_approx as ga
+    
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+
+    xmin = -15
+    xmax = 15
+    ns = np.arange(2, 12, 2)
+    ylim = np.array([-11, 1])
+    x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, 400)
+    gamma = scipy.special.gamma(x)
+    fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5))
+    for n in ns:
+        gamma_lag = ga.eval_laguerre_gamma(x, n=n, func="mirror")
+        rel_err = ga.calc_rel_error(gamma, gamma_lag)
+        ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$")
+    ax.set_xlim(x[0], x[-1])
+    ax.set_ylim(*(10.0 ** ylim))
+    ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON, 5))
+    ax.set_xticks(np.arange(xmin, xmax), minor=True)
+    ax.set_yticks(10.0 ** np.arange(*ylim, 2))
+    ax.set_xlabel(r"$z$")
+    # ax.set_ylabel("Relativer Fehler")
+    ax.legend(ncol=1, loc="upper left", fontsize=ga.fontsize)
+    ax.grid(1, "both")
+    # fig.savefig(f"{ga.img_path}/rel_error_mirror.pgf")
+    fig.savefig(f"{ga.img_path}/rel_error_mirror.pdf")
diff --git a/buch/papers/laguerre/scripts/rel_error_range.py b/buch/papers/laguerre/scripts/rel_error_range.py
new file mode 100644
index 0000000..ece3b6d
--- /dev/null
+++ b/buch/papers/laguerre/scripts/rel_error_range.py
@@ -0,0 +1,41 @@
+if __name__ == "__main__":
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import scipy.special
+
+    import gamma_approx as ga
+    
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+    N = 1201
+    xmax = 6
+    xmin = -xmax
+    ns = np.arange(2, 12, 2)
+    ylim = np.array([-11, -1.2])
+
+    x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, N)
+    gamma = scipy.special.gamma(x)
+    fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2))
+    for n in ns:
+        gamma_lag = ga.eval_laguerre_gamma(x, n=n, func="optimal_shifted")
+        rel_err = ga.calc_rel_error(gamma, gamma_lag)
+        ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$")
+    ax.set_xlim(x[0], x[-1])
+    ax.set_ylim(*(10.0 ** ylim))
+    ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON, 2))
+    ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON), minor=True)
+    ax.set_yticks(10.0 ** np.arange(*ylim, 2))
+    ax.set_yticks(10.0 ** np.arange(*ylim, 1), "", minor=True)
+    ax.set_xlabel(r"$z$")
+    # ax.set_ylabel("Relativer Fehler")
+    ax.legend(ncol=1, loc="upper left", fontsize=ga.fontsize)
+    ax.grid(1, "both")
+    # fig.savefig(f"{ga.img_path}/rel_error_range.pgf")
+    fig.savefig(f"{ga.img_path}/rel_error_range.pdf")
+    # plt.show()
diff --git a/buch/papers/laguerre/scripts/rel_error_shifted.py b/buch/papers/laguerre/scripts/rel_error_shifted.py
new file mode 100644
index 0000000..f53c89b
--- /dev/null
+++ b/buch/papers/laguerre/scripts/rel_error_shifted.py
@@ -0,0 +1,40 @@
+if __name__ == "__main__":
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import scipy.special
+
+    import gamma_approx as ga
+
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+    n = 8  # order of Laguerre polynomial
+    N = 200  # number of points in interval
+
+    step = 1 / (N - 1)
+    x = np.linspace(step, 1 - step, N + 1)
+    targets = np.arange(10, 14)
+    gamma = scipy.special.gamma(x)
+    fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.1))
+    for target in targets:
+        gamma_lag = ga.eval_laguerre_gamma(x, target=target, n=n, func="shifted")
+        rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lag))
+        ax.semilogy(x, rel_error, label=f"$m={target}$", linewidth=3)
+    gamma_lgo = ga.eval_laguerre_gamma(x, n=n, func="optimal_shifted")
+    rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lgo))
+    ax.semilogy(x, rel_error, "m", linestyle=":", label="$m^*$", linewidth=3)
+    ax.set_xlim(x[0], x[-1])
+    ax.set_ylim(5e-9, 5e-8)
+    ax.set_xlabel(r"$z$")
+    ax.set_xticks(np.linspace(0, 1, 6))
+    ax.set_xticks(np.linspace(0, 1, 11), minor=True)
+    ax.grid(1, "both")
+    ax.legend(ncol=1, fontsize=ga.fontsize)
+    # fig.savefig(f"{ga.img_path}/rel_error_shifted.pgf")
+    fig.savefig(f"{ga.img_path}/rel_error_shifted.pdf")
+    # plt.show()
diff --git a/buch/papers/laguerre/scripts/rel_error_simple.py b/buch/papers/laguerre/scripts/rel_error_simple.py
new file mode 100644
index 0000000..e1ea36a
--- /dev/null
+++ b/buch/papers/laguerre/scripts/rel_error_simple.py
@@ -0,0 +1,41 @@
+if __name__ == "__main__":
+    import matplotlib as mpl
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import scipy.special
+
+    import gamma_approx as ga
+
+    # mpl.rc("text", usetex=True)
+    mpl.rcParams.update(
+        {
+            "mathtext.fontset": "stix",
+            "font.family": "serif",
+            "font.serif": "TeX Gyre Termes",
+        }
+    )
+    # mpl.rcParams.update({"font.family": "serif", "font.serif": "TeX Gyre Termes"})
+
+    # Simple / naive
+    xmin = -5
+    xmax = 25
+    ns = np.arange(2, 12, 2)
+    ylim = np.array([-11, 6])
+    x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, 400)
+    gamma = scipy.special.gamma(x)
+    fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5))
+    for n in ns:
+        gamma_lag = ga.eval_laguerre_gamma(x, n=n)
+        rel_err = ga.calc_rel_error(gamma, gamma_lag)
+        ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$")
+    ax.set_xlim(x[0], x[-1])
+    ax.set_ylim(*(10.0 ** ylim))
+    ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON, 5))
+    ax.set_xticks(np.arange(xmin, xmax), minor=True)
+    ax.set_yticks(10.0 ** np.arange(*ylim, 2))
+    ax.set_xlabel(r"$z$")
+    # ax.set_ylabel("Relativer Fehler")
+    ax.legend(ncol=3, fontsize=ga.fontsize)
+    ax.grid(1, "both")
+    # fig.savefig(f"{ga.img_path}/rel_error_simple.pgf")
+    fig.savefig(f"{ga.img_path}/rel_error_simple.pdf")
diff --git a/buch/papers/laguerre/scripts/targets.py b/buch/papers/laguerre/scripts/targets.py
new file mode 100644
index 0000000..69f94ba
--- /dev/null
+++ b/buch/papers/laguerre/scripts/targets.py
@@ -0,0 +1,58 @@
+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")