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@@ -18,31 +18,21 @@
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#include <functional>
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#include <string>
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#include <omp.h>
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#define BURN_IN_TIME 1000
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//#define BURN_IN_TIME 12500
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#define BURN_IN_TIME 5000
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#define EPS_2 (-2 * std::sinh(8.)) / (std::cosh(8.) + 3)
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#define MAG_2 (std::exp(8.) + 1) / (2 * cosh(8.) + 3)
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#define CV_2 \
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16 \
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* (3 * std::cosh(8.) + std::cosh(8.) * std::cosh(8.) \
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- std::sinh(8.) * std::sinh(8.)) \
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/ ((std::cosh(8.) + 3) * (std::cosh(8.) + 3))
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#define X_2 \
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(3 * std::exp(8.) + std::exp(-8.) + 3) \
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/ ((std::cosh(8.) + 3) * (std::cosh(8.) + 3))
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#pragma omp declare reduction(+: data_t: omp_out += omp_in)
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/** @brief Test numerical data with analytical data.
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*
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* @param tol The tolerance between the analytical and numerical solution.
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* @param max_cycles The max number of Monte Carlo cycles.
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*
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* return uint
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* return int
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* */
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uint test_2x2_lattice(double tol, uint max_cycles);
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int test_2x2_lattice(double tol, int max_cycles);
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/** @brief Write the expected values for each Monte Carlo cycles to file.
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*
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@@ -51,7 +41,18 @@ uint test_2x2_lattice(double tol, uint max_cycles);
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* @param cycles The amount of Monte Carlo cycles to do
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* @param filename The file to write to
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* */
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void monte_carlo_progression(double T, uint L, uint cycles,
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void monte_carlo_progression(double T, int L, int cycles,
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const std::string filename);
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/** @brief Write the expected values for each Monte Carlo cycles to file.
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*
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* @param T Temperature
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* @param L The size of the lattice
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* @param cycles The amount of Monte Carlo cycles to do
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* @param value The value to set the elements in the lattice
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* @param filename The file to write to
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* */
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void monte_carlo_progression(double T, int L, int cycles, int value,
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const std::string filename);
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/** @brief Estimate the probability distribution for the energy.
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@@ -61,26 +62,29 @@ void monte_carlo_progression(double T, uint L, uint cycles,
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* @param cycles The amount of Monte Carlo cycles to do
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* @param filename The file to write to
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* */
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void pd_estimate(double T, uint L, uint cycles, const std::string filename);
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void pd_estimate(double T, int L, int cycles, const std::string filename);
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/** @brief Execute the Metropolis algorithm for a certain amount of Monte
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/** @brief Execute the Metropolis algorithm for a certain amount of Monte
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* Carlo cycles.
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*
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* @param data The data to store the results
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* @param L The size of the lattice
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* @param T The Temperature for the Ising model
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* @param cycles The amount of Monte Carlo cycles to do*/
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void monte_carlo_serial(data_t &data, uint L, double T, uint cycles);
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/** @brief Execute the Metropolis algorithm for a certain amount of Monte
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* Carlo cycles in parallel.
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*
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* @param data The data to store the results
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* @param L The size of the lattice
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* @param T The Temperature for the Ising model
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* @param cycles The amount of Monte Carlo cycles to do
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*
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* @return data_t
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* */
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void monte_carlo_parallel(data_t &data, uint L, double T, uint cycles);
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data_t monte_carlo_serial(int L, double T, int cycles);
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/** @brief Execute the Metropolis algorithm for a certain amount of Monte
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* Carlo cycles in parallel.
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*
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* @param L The size of the lattice
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* @param T The Temperature for the Ising model
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* @param cycles The amount of Monte Carlo cycles to do
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*
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* @return data_t
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* */
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data_t monte_carlo_parallel(int L, double T, int cycles);
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/** @brief Perform the MCMC algorithm using a range of temperatures.
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*
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@@ -92,8 +96,8 @@ void monte_carlo_parallel(data_t &data, uint L, double T, uint cycles);
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* @param outfile The file to write the data to
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* */
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void phase_transition(
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uint L, double start_T, double end_T, uint points_T,
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std::function<void(data_t &, uint, double, uint)> monte_carlo,
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int L, double start_T, double end_T, int points_T,
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std::function<data_t(int, double, int)> monte_carlo,
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std::string outfile);
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#endif
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