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NEWS

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@@ -149,7 +149,7 @@ General corrections and improvements:
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class that always returned an array of 0's since 4.1.0 (#3781)
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* Fix a runtime error when calling the `get_params()` method of a
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ScaFaCos-based actor (#3784)
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ScaFaCoS-based actor (#3784)
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Documentation and tutorials corrections and improvements:
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doc/sphinx/installation.rst

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@@ -44,7 +44,7 @@ C++ Compiler
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Boost
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A number of advanced C++ features used by |es| are provided by Boost.
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We strongly recommend to use at least boost 1.67.
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We strongly recommend to use at least Boost 1.67.
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FFTW
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For some algorithms (P\ :math:`^3`\ M), |es| needs the FFTW library

src/core/communication.hpp

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@@ -51,7 +51,7 @@
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#include "MpiCallbacks.hpp"
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/** Included needed by callbacks. */
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/* Includes needed by callbacks. */
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#include "cuda_init.hpp"
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#include "grid_based_algorithms/lb_constants.hpp"
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#include "particle_data.hpp"

src/core/electrostatics_magnetostatics/mmm1d.cpp

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@@ -53,17 +53,17 @@ using Utils::strcat_alloc;
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/** minimal radius for the far formula in multiples of box_l[2] */
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#define MIN_RAD 0.01
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/** if you define this, the Besselfunctions are calculated up
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to machine precision, otherwise 10^-14, which should be
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definitely enough for daily life. */
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/* if you define this, the Bessel functions are calculated up
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* to machine precision, otherwise 10^-14, which should be
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* definitely enough for daily life. */
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#undef BESSEL_MACHINE_PREC
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#ifndef BESSEL_MACHINE_PREC
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#define K0 LPK0
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#define K1 LPK1
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#endif
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/** inverse box dimensions and other constants */
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/** @name inverse box dimensions and other constants */
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/*@{*/
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static double uz, L2, uz2, prefuz2, prefL3_i;
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/*@}*/

src/core/specfunc.hpp

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@@ -59,21 +59,21 @@ double K0(double x);
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*/
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double K1(double x);
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/** Besselfunctions K0 at x.
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/** Bessel function K0 at x.
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* The implementation has an absolute precision of around 10^(-14), which is
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* comparable to the relative precision sqrt implementation of current
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* hardware.
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*/
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double LPK0(double x);
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/** Besselfunctions K1 at x.
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/** Bessel function K1 at x.
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* The implementation has an absolute precision of around 10^(-14), which is
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* comparable to the relative precision sqrt implementation of current
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* hardware.
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*/
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double LPK1(double x);
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/** Besselfunctions K0 and K1 at x.
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/** Bessel functions K0 and K1 at x.
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* The implementation has an absolute precision of around 10^(-14), which is
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* comparable to the relative precision sqrt implementation of current
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* hardware.

testsuite/python/langevin_thermostat.py

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@@ -465,7 +465,7 @@ def verify_diffusion(self, p, corr, kT, gamma):
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"""
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c = corr
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# Integral of vacf via Green-Kubo D = int_0^infty <v(t_0)v(t_0+t)> dt
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# (o 1/3, since we work componentwise)
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# (or 1/3, since we work componentwise)
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i = p.id
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acf = c.result()[:, [0, 2 + 3 * i, 2 + 3 * i + 1, 2 + 3 * i + 2]]
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np.savetxt("acf.dat", acf)

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