generate leslie matrix

This commit is contained in:
Elizabeth Hunt 2023-11-15 14:30:39 -07:00
parent 1a6b952736
commit c02573cb66
Signed by: simponic
GPG Key ID: 52B3774857EB24B1
3 changed files with 38 additions and 0 deletions

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@ -76,4 +76,6 @@ extern double fixed_point_secant_bisection_method(double (*f)(double),
extern double dominant_eigenvalue(Matrix_double *m, Array_double *v,
double tolerance, size_t max_iterations);
extern Matrix_double *leslie_matrix(Array_double *age_class_surivor_ratio,
Array_double *age_class_offspring);
#endif // LIZFCM_H

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@ -4,6 +4,23 @@
#include <stdio.h>
#include <string.h>
Matrix_double *leslie_matrix(Array_double *age_class_surivor_ratio,
Array_double *age_class_offspring) {
assert(age_class_surivor_ratio->size + 1 == age_class_offspring->size);
Matrix_double *leslie = InitMatrixWithSize(double, age_class_offspring->size,
age_class_offspring->size, 0.0);
free_vector(leslie->data[0]);
leslie->data[0] = age_class_offspring;
for (size_t i = 0; i < age_class_surivor_ratio->size; i++) {
leslie->data[i + 1]->data[i] = age_class_surivor_ratio->data[i];
}
return leslie;
}
double dominant_eigenvalue(Matrix_double *m, Array_double *v, double tolerance,
size_t max_iterations) {
assert(m->rows == m->cols);

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@ -1,5 +1,24 @@
#include "lizfcm.test.h"
UTEST(eigen, leslie_matrix) {
Array_double *felicity = InitArray(double, {0.0, 1.5, 0.8});
Array_double *survivor_ratios = InitArray(double, {0.8, 0.55});
Matrix_double *m = InitMatrixWithSize(double, 3, 3, 0.0);
m->data[0]->data[0] = 0.0;
m->data[0]->data[1] = 1.5;
m->data[0]->data[2] = 0.8;
m->data[1]->data[0] = 0.8;
m->data[2]->data[1] = 0.55;
Matrix_double *leslie = leslie_matrix(survivor_ratios, felicity);
EXPECT_TRUE(matrix_equal(leslie, m));
free_matrix(leslie);
free_matrix(m);
}
UTEST(eigen, dominant_eigenvalue) {
Matrix_double *m = InitMatrixWithSize(double, 2, 2, 0.0);
m->data[0]->data[0] = 2.0;