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authorJaron Kent-Dobias <jaron@kent-dobias.com>2018-10-19 14:09:13 -0400
committerJaron Kent-Dobias <jaron@kent-dobias.com>2018-10-19 14:09:13 -0400
commit48dbbcff78944628b56d98a663f682e91023245c (patch)
tree77912419432c3feaa6a7d5b19c4baa76a64eeb0e
parenta3ad099281e0f608d0bcfda178502fb41acd8c5b (diff)
downloadc++-48dbbcff78944628b56d98a663f682e91023245c.tar.gz
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added examples for no field and site depedence
-rw-r--r--doc/examples.rst4
-rw-r--r--examples/CMakeLists.txt4
-rw-r--r--examples/ising_no_field.cpp78
-rw-r--r--examples/ising_random_field.cpp93
-rw-r--r--examples/simple_measurement.hpp28
5 files changed, 204 insertions, 3 deletions
diff --git a/doc/examples.rst b/doc/examples.rst
index 71b70ce..9f07d67 100644
--- a/doc/examples.rst
+++ b/doc/examples.rst
@@ -3,7 +3,9 @@
Examples
********
-Several examples are included in the directory :file:`examples/`. The simplist, standalone example of measuring the average cluster size of an Ising model is provided in full below, demonstrating how to define a model, measurement, couplings, and initialize the algorithm.
+Several examples are included in the directory :file:`examples/`, including using site dependent fields, compiling without a field, using the same spin type for multiple transformation types, and more.
+
+The simplist, standalone example :file:`examples/ising_standalone.cpp` of measuring the average cluster size of an Ising model is provided in full below, demonstrating how to define a model, measurement, couplings, and initialize the algorithm.
.. literalinclude:: ../examples/ising_standalone.cpp
:language: cpp
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index 634c600..fcb6c0f 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -2,6 +2,8 @@
add_executable(ising ising.cpp)
add_executable(ising_animation ising_animation.cpp)
add_executable(ising_standalone ising_standalone.cpp)
+add_executable(ising_random_field ising_random_field.cpp)
+add_executable(ising_no_field ising_no_field.cpp)
add_executable(xy On.cpp)
add_executable(potts_3 potts.cpp)
add_executable(clock_5 clock.cpp)
@@ -15,6 +17,8 @@ target_compile_definitions(clock_5 PUBLIC WOLFF_POTTSQ=5)
target_link_libraries(ising wolff)
target_link_libraries(ising_animation wolff GL GLU glut)
target_link_libraries(ising_standalone wolff)
+target_link_libraries(ising_random_field wolff)
+target_link_libraries(ising_no_field wolff)
target_link_libraries(xy wolff)
target_link_libraries(potts_3 wolff)
target_link_libraries(clock_5 wolff)
diff --git a/examples/ising_no_field.cpp b/examples/ising_no_field.cpp
new file mode 100644
index 0000000..eebd672
--- /dev/null
+++ b/examples/ising_no_field.cpp
@@ -0,0 +1,78 @@
+
+#include <getopt.h>
+#include <iostream>
+#include <chrono>
+
+#define WOLFF_NO_FIELD
+#include "simple_measurement.hpp"
+
+#include <wolff/models/ising.hpp>
+#include <wolff/finite_states.hpp>
+
+#include <wolff.hpp>
+
+using namespace wolff;
+
+int main(int argc, char *argv[]) {
+
+ // set defaults
+ N_t N = (N_t)1e4;
+ D_t D = 2;
+ L_t L = 128;
+ double T = 2.26918531421;
+
+ int opt;
+
+ // take command line arguments
+ while ((opt = getopt(argc, argv, "N:D:L:T:")) != -1) {
+ switch (opt) {
+ case 'N': // number of steps
+ N = (N_t)atof(optarg);
+ break;
+ case 'D': // dimension
+ D = atoi(optarg);
+ break;
+ case 'L': // linear size
+ L = atoi(optarg);
+ break;
+ case 'T': // temperature
+ T = atof(optarg);
+ break;
+ default:
+ exit(EXIT_FAILURE);
+ }
+ }
+
+ // define the spin-spin coupling
+ std::function <double(const ising_t&, const ising_t&)> Z = [] (const ising_t& s1, const ising_t& s2) -> double {
+ return (double)(s1 * s2);
+ };
+
+ // initialize the lattice
+ graph G(D, L);
+
+ // initialize the system
+ system<ising_t, ising_t> S(G, T, Z);
+
+ // initialize the random number generator
+ auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count();
+ std::mt19937 rng{seed};
+
+ // define function that generates self-inverse rotations
+ std::function <ising_t(std::mt19937&, const system<ising_t, ising_t>&, v_t)> gen_r = gen_ising;
+
+ // initailze the measurement object
+ simple_measurement A(S);
+
+ // run wolff N times
+ S.run_wolff(N, gen_r, A, rng);
+
+ // print the result of our measurements
+ std::cout << "Wolff complete!\nThe average energy per site was " << A.avgE() / S.nv
+ << ".\nThe average magnetization per site was " << A.avgM() / S.nv
+ << ".\nThe average cluster size per site was " << A.avgC() / S.nv << ".\n";
+
+ // exit
+ return 0;
+}
+
diff --git a/examples/ising_random_field.cpp b/examples/ising_random_field.cpp
new file mode 100644
index 0000000..b37b0ce
--- /dev/null
+++ b/examples/ising_random_field.cpp
@@ -0,0 +1,93 @@
+
+#include <getopt.h>
+#include <iostream>
+#include <chrono>
+
+#define WOLFF_SITE_DEPENDENCE
+
+#include "simple_measurement.hpp"
+
+#include <wolff/models/ising.hpp>
+
+#include <wolff.hpp>
+
+using namespace wolff;
+
+int main(int argc, char *argv[]) {
+
+ // set defaults
+ N_t N = (N_t)1e4;
+ D_t D = 2;
+ L_t L = 128;
+ double T = 2.26918531421;
+ double H = 0.0;
+
+ int opt;
+
+ // take command line arguments
+ while ((opt = getopt(argc, argv, "N:D:L:T:H:")) != -1) {
+ switch (opt) {
+ case 'N': // number of steps
+ N = (N_t)atof(optarg);
+ break;
+ case 'D': // dimension
+ D = atoi(optarg);
+ break;
+ case 'L': // linear size
+ L = atoi(optarg);
+ break;
+ case 'T': // temperature
+ T = atof(optarg);
+ break;
+ case 'H': // external field
+ H = atof(optarg);
+ break;
+ default:
+ exit(EXIT_FAILURE);
+ }
+ }
+
+ // define the spin-spin coupling
+ std::function <double(const ising_t&, const ising_t&)> Z = [] (const ising_t& s1, const ising_t& s2) -> double {
+ return (double)(s1 * s2);
+ };
+
+ // initialize the lattice
+ graph G(D, L);
+
+ // initialize the random number generator
+ auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count();
+ std::mt19937 rng{seed};
+
+ // define the spin-field coupling
+ std::vector<double> H_vals(G.nv);
+ std::normal_distribution<double> distribution(0.0, H);
+ for (v_t i = 0; i < G.nv; i++) {
+ H_vals[i] = distribution(rng);
+ }
+
+ std::function <double(v_t, const ising_t&)> B = [&] (v_t i, const ising_t& s) -> double {
+ return H_vals[i] * s;
+ };
+
+ // initialize the system
+ system<ising_t, ising_t> S(G, T, Z, B);
+
+ // define function that generates self-inverse rotations
+ std::function <ising_t(std::mt19937&, const system<ising_t, ising_t>&, v_t)> gen_r = gen_ising;
+
+ // initailze the measurement object
+ simple_measurement A(S);
+
+ // run wolff N times
+ S.run_wolff(N, gen_r, A, rng);
+
+ // print the result of our measurements
+ std::cout << "Wolff complete!\nThe average energy per site was " << A.avgE() / S.nv
+ << ".\nThe average magnetization per site was " << A.avgM() / S.nv
+ << ".\nThe average cluster size per site was " << A.avgC() / S.nv << ".\n";
+
+ // exit
+ return 0;
+}
+
diff --git a/examples/simple_measurement.hpp b/examples/simple_measurement.hpp
index 518631c..f98cfe6 100644
--- a/examples/simple_measurement.hpp
+++ b/examples/simple_measurement.hpp
@@ -20,7 +20,27 @@ class simple_measurement : public measurement<R_t, X_t> {
simple_measurement(const system<R_t, X_t>& S) {
n = 0;
M = S.nv * S.s[0];
- E = - (S.ne * S.Z(S.s[0], S.s[0]) + S.nv * S.B(S.s[0]));
+ E = 0;
+
+#ifdef WOLFF_BOND_DEPENDENCE
+ for (v_t i = 0; i < S.nv; i++) {
+ for (v_t j : S.G.adjacency[i]) {
+ E -= 0.5 * S.Z(i, S.s[i], j, S.s[j]);
+ }
+ }
+#else
+ E -= S.ne * S.Z(S.s[0], S.s[0]);
+#endif
+
+#ifndef WOLFF_NO_FIELD
+#ifdef WOLFF_SITE_DEPENDENCE
+ for (v_t i = 0; i < S.nv; i++) {
+ E -= S.B(i, S.s[i]);
+ }
+#else
+ E -= S.nv * S.B(S.s[0]);
+#endif
+#endif
totalE = 0;
totalM = 0.0 * (S.s[0]);
@@ -40,8 +60,12 @@ class simple_measurement : public measurement<R_t, X_t> {
M += s_new - s_old;
}
- void plain_site_transformed(const system<R_t, X_t>&, v_t, const X_t&) {
+ void plain_site_transformed(const system<R_t, X_t>& S, v_t i, const X_t& si_new) {
C++;
+
+#ifdef WOLFF_NO_FIELD
+ M += si_new - S.s[i];
+#endif
}
void ghost_site_transformed(const system<R_t, X_t>&, const R_t&) {}