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+/* domain_minimize.cpp
+ *
+ * Copyright (C) 2013 Jaron Kent-Dobias
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+// A Newton's method solver for modulated domains.
+
+// GSL includes.
+#include <gsl/gsl_math.h>
+#include <gsl/gsl_vector.h>
+#include <gsl/gsl_blas.h>
+
+// Gives the necessary functions for the Lagrangian, gradient, and Hessian.
+#include "domain_energy.h"
+#include "domain_newton.h"
+
+struct nakedgetgrad {
+ nakedgetgrad(double c, unsigned n): c(c), n(n) {}
+ void operator()(gsl_vector* grad, unsigned size, gsl_vector *state) {domain_energy_nakedGradient(grad, n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+struct nakedgethess {
+ nakedgethess(double c, unsigned n): c(c), n(n) {}
+ void operator()(gsl_matrix* hess, unsigned size, gsl_vector *state) {domain_energy_nakedHessian(hess, n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+struct nakedgetenergy {
+ nakedgetenergy(double c, unsigned n): c(c), n(n) {}
+ double operator()(unsigned size, gsl_vector *state) {return domain_energy_nakedLagrangian(n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+// Carries out Newton's method.
+int domain_minimize_naked(gsl_vector *z, unsigned n, double c, double eps, unsigned N, double beta, double s, double sigma, double gamma, double eta0, bool verb) {
+
+ unsigned size = 3 * n + 2;
+ unsigned params = 2 * n + 1;
+ nakedgetgrad grad(c, n);
+ nakedgethess hess(c, n);
+ nakedgetenergy energy(c, n);
+
+ return domain_newton(z, size, params, energy, grad, hess, eps, N, beta, s, sigma, gamma, eta0, 0.1, 100, verb);
+}
+
+struct fixedgetgrad {
+ fixedgetgrad(double c, unsigned n): c(c), n(n) {}
+ void operator()(gsl_vector* grad, unsigned size, gsl_vector *state) {domain_energy_fixedGradient(grad, n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+struct fixedgethess {
+ fixedgethess(double c, unsigned n): c(c), n(n) {}
+ void operator()(gsl_matrix* hess, unsigned size, gsl_vector *state) {domain_energy_fixedHessian(hess, n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+struct fixedgetenergy {
+ fixedgetenergy(double c, unsigned n): c(c), n(n) {}
+ double operator()(unsigned size, gsl_vector *state) {return domain_energy_fixedLagrangian(n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+// Carries out Newton's method.
+int domain_minimize_fixed(gsl_vector *z, unsigned n, double c, double eps, unsigned N, double beta, double s, double sigma) {
+
+ unsigned size = 3 * n + 3;
+ unsigned params = 2 * n;
+ fixedgetgrad grad(c, n);
+ fixedgethess hess(c, n);
+ fixedgetenergy energy(c, n);
+
+ return domain_newton(z, size, params, energy, grad, hess, eps, N, beta, s, sigma, 0, 0, 0.1, 10, true);
+}
+
+struct randgetgrad {
+ randgetgrad(double c, unsigned n, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi): c(c), n(n), ord(ord), k(k), a(a), phi(phi) {}
+ void operator()(gsl_vector* grad, unsigned size, gsl_vector *state) {domain_energy_nakedRandGradient(grad, n, state, c, ord, k, a, phi);}
+
+ private:
+ double c;
+ unsigned n;
+ unsigned ord;
+ const gsl_vector *k;
+ const gsl_vector *a;
+ const gsl_vector *phi;
+};
+
+struct randgethess {
+ randgethess(double c, unsigned n, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi): c(c), n(n), ord(ord), k(k), a(a), phi(phi) {}
+ void operator()(gsl_matrix* hess, unsigned size, gsl_vector *state) {domain_energy_nakedRandHessian(hess, n, state, c, ord, k, a, phi);}
+
+ private:
+ double c;
+ unsigned n;
+ unsigned ord;
+ const gsl_vector *k;
+ const gsl_vector *a;
+ const gsl_vector *phi;
+};
+
+struct randgetenergy {
+ randgetenergy(double c, unsigned n, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi): c(c), n(n), ord(ord), k(k), a(a), phi(phi) {}
+ double operator()(unsigned size, gsl_vector *state) {return domain_energy_nakedRandLagrangian(n, state, c, ord, k, a, phi);}
+
+ private:
+ double c;
+ unsigned n;
+ unsigned ord;
+ const gsl_vector *k;
+ const gsl_vector *a;
+ const gsl_vector *phi;
+};
+
+// Carries out Newton's method.
+int domain_minimize_rand(gsl_vector *z, unsigned n, double c, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi, double eps, unsigned N, double beta, double s, double sigma, double gamma, double bound, bool verb) {
+
+ unsigned size = 3 * n + 2;
+ unsigned params = 2 * n + 1;
+ randgetgrad grad(c, n, ord, k, a, phi);
+ randgethess hess(c, n, ord, k, a, phi);
+ randgetenergy energy(c, n, ord, k, a, phi);
+
+ return domain_newton(z, size, params, energy, grad, hess, eps, N, beta, s, sigma, gamma, bound, 0.1, 2, verb);
+}
+
+struct nakedwellgetgrad {
+ nakedwellgetgrad(double c, unsigned n, double w, double s): c(c), n(n), w(w), s(s) {}
+ void operator()(gsl_vector* grad, unsigned size, gsl_vector *state) {domain_energy_nakedWellGradient(grad, n, state, c, w, s);}
+
+ private:
+ double c;
+ double s;
+ double w;
+ unsigned n;
+};
+
+struct nakedwellgethess {
+ nakedwellgethess(double c, unsigned n, double w, double s): c(c), n(n), w(w), s(s) {}
+ void operator()(gsl_matrix* hess, unsigned size, gsl_vector *state) {domain_energy_nakedWellHessian(hess, n, state, c, w, s);}
+
+ private:
+ double c;
+ double s;
+ double w;
+ unsigned n;
+};
+
+struct nakedwellgetenergy {
+ nakedwellgetenergy(double c, unsigned n, double w, double s): c(c), n(n), w(w), s(s) {}
+ double operator()(unsigned size, gsl_vector *state) {return domain_energy_nakedWellLagrangian(n, state, c, w, s);}
+
+ private:
+ double c;
+ double s;
+ double w;
+ unsigned n;
+};
+
+// Carries out Newton's method.
+int domain_minimize_nakedWell(gsl_vector *z, unsigned n, double c, double w, double ss, double eps, unsigned N, double beta, double s, double sigma, double gamma, double eta0, bool verb) {
+
+ unsigned size = 3 * n + 2;
+ unsigned params = 2 * n + 1;
+ nakedwellgetgrad grad(c, n, w, ss);
+ nakedwellgethess hess(c, n, w, ss);
+ nakedwellgetenergy energy(c, n, w, ss);
+
+ return domain_newton(z, size, params, energy, grad, hess, eps, N, beta, s, sigma, gamma, eta0, 0.1, 100, verb);
+}
+
+
+struct randwellgetgrad {
+ randwellgetgrad(double c, unsigned n, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi, double w, double s): c(c), n(n), ord(ord), k(k), a(a), phi(phi), w(w), s(s) {}
+ void operator()(gsl_vector* grad, unsigned size, gsl_vector *state) {domain_energy_randWellGradient(grad, n, state, c, ord, k, a, phi, w, s);}
+
+ private:
+ double c;
+ double s;
+ double w;
+ unsigned n;
+ unsigned ord;
+ const gsl_vector *k;
+ const gsl_vector *a;
+ const gsl_vector *phi;
+};
+
+struct randwellgethess {
+ randwellgethess(double c, unsigned n, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi, double w, double s): c(c), n(n), ord(ord), k(k), a(a), phi(phi), w(w), s(s) {}
+ void operator()(gsl_matrix* hess, unsigned size, gsl_vector *state) {domain_energy_randWellHessian(hess, n, state, c, ord, k, a, phi, w, s);}
+
+ private:
+ double c;
+ double s;
+ double w;
+ unsigned n;
+ unsigned ord;
+ const gsl_vector *k;
+ const gsl_vector *a;
+ const gsl_vector *phi;
+};
+
+struct randwellgetenergy {
+ randwellgetenergy(double c, unsigned n, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi, double w, double s): c(c), n(n), ord(ord), k(k), a(a), phi(phi), w(w), s(s) {}
+ double operator()(unsigned size, gsl_vector *state) {return domain_energy_randWellLagrangian(n, state, c, ord, k, a, phi, w, s);}
+
+ private:
+ double c;
+ double s;
+ double w;
+ unsigned n;
+ unsigned ord;
+ const gsl_vector *k;
+ const gsl_vector *a;
+ const gsl_vector *phi;
+};
+
+// Carries out Newton's method.
+int domain_minimize_randWell(gsl_vector *z, unsigned n, double c, unsigned ord, const gsl_vector *k, const gsl_vector *a, const gsl_vector *phi, double w, double ss, double eps, unsigned N, double beta, double s, double sigma, double gamma, double eta0, bool verb) {
+
+ unsigned size = 3 * n + 2;
+ unsigned params = 2 * n + 1;
+ randwellgetgrad grad(c, n, ord, k, a, phi, w, ss);
+ randwellgethess hess(c, n, ord, k, a, phi, w, ss);
+ randwellgetenergy energy(c, n, ord, k, a, phi, w, ss);
+
+ return domain_newton(z, size, params, energy, grad, hess, eps, N, beta, s, sigma, gamma, eta0, 0.1, 100, verb);
+}
+
+
+struct fixedmingetgrad {
+ fixedmingetgrad(double c, unsigned n): c(c), n(n) {}
+ void operator()(gsl_vector* grad, unsigned size, gsl_vector *state) {domain_energy_fixedGradient(grad, n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+struct fixedmingethess {
+ fixedmingethess(double c, unsigned n): c(c), n(n) {}
+ void operator()(gsl_matrix* hess, unsigned size, gsl_vector *state) {domain_energy_fixedHessian(hess, n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+struct fixedmingetenergy {
+ fixedmingetenergy(double c, unsigned n): c(c), n(n) {}
+ double operator()(unsigned size, gsl_vector *state) {return domain_energy_fixedLagrangian(n, state, c);}
+
+ private:
+ double c;
+ unsigned n;
+};
+
+// Carries out Newton's method.
+int domain_minimize_fixedmin(gsl_vector *z, unsigned n, double c, double eps, unsigned N, double beta, double s, double sigma, double gamma, double bound, bool verb) {
+
+ unsigned size = 3 * n + 3;
+ unsigned params = 2 * n;
+ fixedmingetgrad grad(c, n);
+ fixedmingethess hess(c, n);
+ fixedmingetenergy energy(c, n);
+
+ return domain_newton(z, size, params, energy, grad, hess, eps, N, beta, s, sigma, gamma, bound, 0.1, 10, verb);
+}