--- /dev/null
+#include <math.h>
+#include <stdlib.h>
+#include "keigen.h"
+
+void ke_core_strq(int n, double *q, double *b, double *c)
+{
+ int i, j, k, u, v;
+ double h, f, g, h2;
+ for (i = n - 1; i >= 1; i--) {
+ h = 0.0;
+ if (i > 1)
+ for (k = 0; k < i; k++) {
+ u = i * n + k;
+ h = h + q[u] * q[u];
+ }
+ if (h + 1.0 == 1.0) {
+ c[i] = 0.0;
+ if (i == 1)
+ c[i] = q[i * n + i - 1];
+ b[i] = 0.0;
+ } else {
+ c[i] = sqrt(h);
+ u = i * n + i - 1;
+ if (q[u] > 0.0)
+ c[i] = -c[i];
+ h = h - q[u] * c[i];
+ q[u] = q[u] - c[i];
+ f = 0.0;
+ for (j = 0; j < i; j++) {
+ q[j * n + i] = q[i * n + j] / h;
+ g = 0.0;
+ for (k = 0; k <= j; k++)
+ g = g + q[j * n + k] * q[i * n + k];
+ if (j + 1 < i)
+ for (k = j + 1; k <= i - 1; k++)
+ g = g + q[k * n + j] * q[i * n + k];
+ c[j] = g / h;
+ f = f + g * q[j * n + i];
+ }
+ h2 = f / (h + h);
+ for (j = 0; j < i; j++) {
+ f = q[i * n + j];
+ g = c[j] - h2 * f;
+ c[j] = g;
+ for (k = 0; k <= j; k++) {
+ u = j * n + k;
+ q[u] = q[u] - f * c[k] - g * q[i * n + k];
+ }
+ }
+ b[i] = h;
+ }
+ }
+ for (i = 0; i < n - 1; i++)
+ c[i] = c[i + 1];
+ c[n - 1] = 0.0;
+ b[0] = 0.0;
+ for (i = 0; i < n; i++) {
+ if (b[i] != 0.0 && i - 1 >= 0)
+ for (j = 0; j < i; j++) {
+ g = 0.0;
+ for (k = 0; k < i; k++)
+ g = g + q[i * n + k] * q[k * n + j];
+ for (k = 0; k < i; k++) {
+ u = k * n + j;
+ q[u] = q[u] - g * q[k * n + i];
+ }
+ }
+ u = i * n + i;
+ b[i] = q[u];
+ q[u] = 1.0;
+ if (i - 1 >= 0)
+ for (j = 0; j < i; j++) {
+ q[i * n + j] = 0.0;
+ q[j * n + i] = 0.0;
+ }
+ }
+}
+
+int ke_core_sstq(int n, double *b, double *c, double *q, int cal_ev, double eps, int l)
+{
+ int i, j, k, m, it, u, v;
+ double d, f, h, g, p, r, e, s;
+ c[n - 1] = 0.0;
+ d = 0.0;
+ f = 0.0;
+ for (j = 0; j < n; j++) {
+ it = 0;
+ h = eps * (fabs(b[j]) + fabs(c[j]));
+ if (h > d)
+ d = h;
+ m = j;
+ while (m < n && fabs(c[m]) > d)
+ m = m + 1;
+ if (m != j) {
+ do {
+ if (it == l) return KE_EXCESS_ITER;
+ it = it + 1;
+ g = b[j];
+ p = (b[j + 1] - g) / (2.0 * c[j]);
+ r = sqrt(p * p + 1.0);
+ if (p >= 0.0)
+ b[j] = c[j] / (p + r);
+ else
+ b[j] = c[j] / (p - r);
+ h = g - b[j];
+ for (i = j + 1; i < n; i++)
+ b[i] = b[i] - h;
+ f = f + h;
+ p = b[m];
+ e = 1.0;
+ s = 0.0;
+ for (i = m - 1; i >= j; i--) {
+ g = e * c[i];
+ h = e * p;
+ if (fabs(p) >= fabs(c[i])) {
+ e = c[i] / p;
+ r = sqrt(e * e + 1.0);
+ c[i + 1] = s * p * r;
+ s = e / r;
+ e = 1.0 / r;
+ } else {
+ e = p / c[i];
+ r = sqrt(e * e + 1.0);
+ c[i + 1] = s * c[i] * r;
+ s = 1.0 / r;
+ e = e / r;
+ }
+ p = e * b[i] - s * g;
+ b[i + 1] = h + s * (e * g + s * b[i]);
+ if (cal_ev) {
+ for (k = 0; k < n; k++) {
+ u = k * n + i + 1;
+ v = u - 1;
+ h = q[u];
+ q[u] = s * q[v] + e * h;
+ q[v] = e * q[v] - s * h;
+ }
+ }
+ }
+ c[j] = s * p;
+ b[j] = e * p;
+ }
+ while (fabs(c[j]) > d);
+ }
+ b[j] = b[j] + f;
+ }
+ for (i = 0; i < n; i++) {
+ k = i;
+ p = b[i];
+ if (i + 1 < n) {
+ j = i + 1;
+ while (j < n && b[j] <= p) {
+ k = j;
+ p = b[j];
+ j = j + 1;
+ }
+ }
+ if (k != i) {
+ b[k] = b[i];
+ b[i] = p;
+ for (j = 0; j < n; j++) {
+ u = j * n + i;
+ v = j * n + k;
+ p = q[u];
+ q[u] = q[v];
+ q[v] = p;
+ }
+ }
+ }
+ return 0;
+}
+
+#define MALLOC(type, size) ((type*)malloc(size * sizeof(type)))
+
+int ke_eigen_sd(int n, double *a, double *v, int cal_ev, double eps, int max_iter)
+{
+ double *c;
+ int r;
+ if (1.0 + eps <= 1.0) eps = 1e-7;
+ if (max_iter <= 0) max_iter = 50;
+ c = MALLOC(double, n);
+ ke_core_strq(n, a, v, c);
+ r = ke_core_sstq(n, v, c, a, cal_ev, eps, max_iter);
+ free(c);
+ return r;
+}
--- /dev/null
+#ifndef KEIGEN_H
+#define KEIGEN_H
+
+#define KE_EXCESS_ITER (-1)
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/**
+ * Compute eigenvalues/vectors for a dense symmetric matrix
+ *
+ * @param n dimension
+ * @param a input matrix and eigenvalues on return ([n*n]; in & out)
+ * @param v eigenvalues ([n]; out)
+ * @param cal_ev compute eigenvectos or not (faster without vectors)
+ * @param eps precision (<=0 for default)
+ * @param max_itr max iteration (<=0 for detaul)
+ *
+ * @return 0 on success; KE_EXCESS_ITER if too many iterations
+ */
+int ke_eigen_sd(int n, double *a, double *v, int cal_ev, double eps, int max_iter);
+
+/**
+ * Transform a real symmetric matrix to a tridiagonal matrix
+ *
+ * @param n dimension
+ * @param q input matrix and transformation matrix ([n*n]; in & out)
+ * @param b diagonal ([n]; out)
+ * @param c subdiagonal ([n]; out)
+ */
+void ke_core_strq(int n, double *q, double *b, double *c);
+
+/**
+ * Compute eigenvalues and eigenvectors for a tridiagonal matrix
+ *
+ * @param n dimension
+ * @param b diagonal and eigenvalues on return ([n]; in & out)
+ * @param c subdiagonal ([n]; in)
+ * @param q transformation matrix and eigenvectors on return ([n*n]; in & out)
+ * @param cal_ev compute eigenvectors or not (faster without vectors)
+ * @param eps precision
+ * @param l max iterations
+ *
+ * @return 0 on success; KE_EXCESS_ITER if too many iterations
+ */
+int ke_core_sstq(int n, double *b, double *c, double *q, int cal_ev, double eps, int l);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif