43 #if defined(DEBUG) && !defined(NDEBUG) 97 const short int n_iter = (k > n-
k) ? n-k : k;
98 for (
short int j = 1; j <= n_iter; j++, n--) {
101 else if (ret % j == 0)
192 v[0] = xb[0] - xa[0];
193 v[1] = xb[1] - xa[1];
194 v[2] = xb[2] - xa[2];
196 return sqrt(v[0]*v[0] + v[1]*v[1] + v[2]*v[2]);
216 return ((xb[0] - xa[0])*xc[0]+(xb[1] - xa[1])*xc[1]+(xb[2] - xa[2])*xc[2]);
239 return (v[0]*v[0] + v[1]*v[1] + v[2]*v[2]);
257 cs_real_t uv = u[0]*v[0] + u[1]*v[1] + u[2]*v[2];
282 ( n1[0] * t[0][0] * n2[0] + n1[1] * t[1][0] * n2[0] + n1[2] * t[2][0] * n2[0]
283 + n1[0] * t[0][1] * n2[1] + n1[1] * t[1][1] * n2[1] + n1[2] * t[2][1] * n2[1]
284 + n1[0] * t[0][2] * n2[2] + n1[1] * t[1][2] * n2[2] + n1[2] * t[2][2] * n2[2]);
302 return sqrt(v[0]*v[0] + v[1]*v[1] + v[2]*v[2]);
318 cs_real_t v2 = v[0]*v[0] + v[1]*v[1] + v[2]*v[2];
340 vout[0] = inv_norm * vin[0];
341 vout[1] = inv_norm * vin[1];
342 vout[2] = inv_norm * vin[2];
361 vout[0] = v[0]*(1.-n[0]*n[0])- v[1]* n[1]*n[0] - v[2]* n[2]*n[0];
362 vout[1] = -v[0]* n[0]*n[1] + v[1]*(1.-n[1]*n[1])- v[2]* n[2]*n[1];
363 vout[2] = -v[0]* n[0]*n[2] - v[1]* n[1]*n[2] + v[2]*(1.-n[2]*n[2]);
383 for (
int i = 0; i < 3; i++)
384 v[i] += v_dot_n * n[i];
405 ( n[0] * t[0][0] * n[0] + n[1] * t[1][0] * n[0] + n[2] * t[2][0] * n[0]
406 + n[0] * t[0][1] * n[1] + n[1] * t[1][1] * n[1] + n[2] * t[2][1] * n[1]
407 + n[0] * t[0][2] * n[2] + n[1] * t[1][2] * n[2] + n[2] * t[2][2] * n[2]);
408 for (
int i = 0; i < 3; i++) {
409 for (
int j = 0; j < 3; j++)
410 t[i][j] += n_t_n * n[i] * n[j];
429 mv[0] = m[0][0]*v[0] + m[0][1]*v[1] + m[0][2]*v[2];
430 mv[1] = m[1][0]*v[0] + m[1][1]*v[1] + m[1][2]*v[2];
431 mv[2] = m[2][0]*v[0] + m[2][1]*v[1] + m[2][2]*v[2];
450 mv[0] += m[0][0]*v[0] + m[0][1]*v[1] + m[0][2]*v[2];
451 mv[1] += m[1][0]*v[0] + m[1][1]*v[1] + m[1][2]*v[2];
452 mv[2] += m[2][0]*v[0] + m[2][1]*v[1] + m[2][2]*v[2];
471 mv[0] = m[0][0]*v[0] + m[1][0]*v[1] + m[2][0]*v[2];
472 mv[1] = m[0][1]*v[0] + m[1][1]*v[1] + m[2][1]*v[2];
473 mv[2] = m[0][2]*v[0] + m[1][2]*v[1] + m[2][2]*v[2];
493 mv[0] = m[0] * v[0] + m[3] * v[1] + m[5] * v[2];
494 mv[1] = m[3] * v[0] + m[1] * v[1] + m[4] * v[2];
495 mv[2] = m[5] * v[0] + m[4] * v[1] + m[2] * v[2];
515 mv[0] += m[0] * v[0] + m[3] * v[1] + m[5] * v[2];
516 mv[1] += m[3] * v[0] + m[1] * v[1] + m[4] * v[2];
517 mv[2] += m[5] * v[0] + m[4] * v[1] + m[2] * v[2];
536 for (
int i = 0; i < 6; i++) {
537 for (
int j = 0; j < 6; j++)
538 mv[i] = m[i][j] * v[j];
558 for (
int i = 0; i < 6; i++) {
559 for (
int j = 0; j < 6; j++)
560 mv[i] += m[i][j] * v[j];
577 const cs_real_t com0 = m[1][1]*m[2][2] - m[2][1]*m[1][2];
578 const cs_real_t com1 = m[2][1]*m[0][2] - m[0][1]*m[2][2];
579 const cs_real_t com2 = m[0][1]*m[1][2] - m[1][1]*m[0][2];
581 return m[0][0]*com0 + m[1][0]*com1 + m[2][0]*com2;
597 const cs_real_t com0 = m[1]*m[2] - m[4]*m[4];
598 const cs_real_t com1 = m[4]*m[5] - m[3]*m[2];
599 const cs_real_t com2 = m[3]*m[4] - m[1]*m[5];
601 return m[0]*com0 + m[3]*com1 + m[5]*com2;
614 #if defined(__INTEL_COMPILER) 615 #pragma optimization_level 0 623 uv[0] = u[1]*v[2] - u[2]*v[1];
624 uv[1] = u[2]*v[0] - u[0]*v[2];
625 uv[2] = u[0]*v[1] - u[1]*v[0];
641 out[0][0] = in[1][1]*in[2][2] - in[2][1]*in[1][2];
642 out[0][1] = in[2][1]*in[0][2] - in[0][1]*in[2][2];
643 out[0][2] = in[0][1]*in[1][2] - in[1][1]*in[0][2];
645 out[1][0] = in[2][0]*in[1][2] - in[1][0]*in[2][2];
646 out[1][1] = in[0][0]*in[2][2] - in[2][0]*in[0][2];
647 out[1][2] = in[1][0]*in[0][2] - in[0][0]*in[1][2];
649 out[2][0] = in[1][0]*in[2][1] - in[2][0]*in[1][1];
650 out[2][1] = in[2][0]*in[0][1] - in[0][0]*in[2][1];
651 out[2][2] = in[0][0]*in[1][1] - in[1][0]*in[0][1];
653 const double det = in[0][0]*out[0][0]+in[1][0]*out[0][1]+in[2][0]*out[0][2];
654 const double invdet = 1/det;
656 out[0][0] *= invdet, out[0][1] *= invdet, out[0][2] *= invdet;
657 out[1][0] *= invdet, out[1][1] *= invdet, out[1][2] *= invdet;
658 out[2][0] *= invdet, out[2][1] *= invdet, out[2][2] *= invdet;
672 cs_real_t a00 = a[1][1]*a[2][2] - a[2][1]*a[1][2];
673 cs_real_t a01 = a[2][1]*a[0][2] - a[0][1]*a[2][2];
674 cs_real_t a02 = a[0][1]*a[1][2] - a[1][1]*a[0][2];
675 cs_real_t a10 = a[2][0]*a[1][2] - a[1][0]*a[2][2];
676 cs_real_t a11 = a[0][0]*a[2][2] - a[2][0]*a[0][2];
677 cs_real_t a12 = a[1][0]*a[0][2] - a[0][0]*a[1][2];
678 cs_real_t a20 = a[1][0]*a[2][1] - a[2][0]*a[1][1];
679 cs_real_t a21 = a[2][0]*a[0][1] - a[0][0]*a[2][1];
680 cs_real_t a22 = a[0][0]*a[1][1] - a[1][0]*a[0][1];
682 double det_inv = 1. / (a[0][0]*a00 + a[1][0]*a01 + a[2][0]*a02);
684 a[0][0] = a00 * det_inv;
685 a[0][1] = a01 * det_inv;
686 a[0][2] = a02 * det_inv;
687 a[1][0] = a10 * det_inv;
688 a[1][1] = a11 * det_inv;
689 a[1][2] = a12 * det_inv;
690 a[2][0] = a20 * det_inv;
691 a[2][1] = a21 * det_inv;
692 a[2][2] = a22 * det_inv;
707 cs_real_t a00 = a[1][1]*a[2][2] - a[2][1]*a[1][2];
708 cs_real_t a01 = a[2][1]*a[0][2] - a[0][1]*a[2][2];
709 cs_real_t a02 = a[0][1]*a[1][2] - a[1][1]*a[0][2];
710 cs_real_t a11 = a[0][0]*a[2][2] - a[2][0]*a[0][2];
711 cs_real_t a12 = a[1][0]*a[0][2] - a[0][0]*a[1][2];
712 cs_real_t a22 = a[0][0]*a[1][1] - a[1][0]*a[0][1];
714 double det_inv = 1. / (a[0][0]*a00 + a[1][0]*a01 + a[2][0]*a02);
716 a[0][0] = a00 * det_inv;
717 a[0][1] = a01 * det_inv;
718 a[0][2] = a02 * det_inv;
719 a[1][0] = a01 * det_inv;
720 a[1][1] = a11 * det_inv;
721 a[1][2] = a12 * det_inv;
722 a[2][0] = a02 * det_inv;
723 a[2][1] = a12 * det_inv;
724 a[2][2] = a22 * det_inv;
745 sout[0] = s[1]*s[2] - s[4]*s[4];
746 sout[1] = s[0]*s[2] - s[5]*s[5];
747 sout[2] = s[0]*s[1] - s[3]*s[3];
748 sout[3] = s[4]*s[5] - s[3]*s[2];
749 sout[4] = s[3]*s[5] - s[0]*s[4];
750 sout[5] = s[3]*s[4] - s[1]*s[5];
752 detinv = 1. / (s[0]*sout[0] + s[3]*sout[3] + s[5]*sout[5]);
778 mout[0][0] = m1[0][0]*m2[0][0] + m1[0][1]*m2[1][0] + m1[0][2]*m2[2][0];
779 mout[0][1] = m1[0][0]*m2[0][1] + m1[0][1]*m2[1][1] + m1[0][2]*m2[2][1];
780 mout[0][2] = m1[0][0]*m2[0][2] + m1[0][1]*m2[1][2] + m1[0][2]*m2[2][2];
782 mout[1][0] = m1[1][0]*m2[0][0] + m1[1][1]*m2[1][0] + m1[1][2]*m2[2][0];
783 mout[1][1] = m1[1][0]*m2[0][1] + m1[1][1]*m2[1][1] + m1[1][2]*m2[2][1];
784 mout[1][2] = m1[1][0]*m2[0][2] + m1[1][1]*m2[1][2] + m1[1][2]*m2[2][2];
786 mout[2][0] = m1[2][0]*m2[0][0] + m1[2][1]*m2[1][0] + m1[2][2]*m2[2][0];
787 mout[2][1] = m1[2][0]*m2[0][1] + m1[2][1]*m2[1][1] + m1[2][2]*m2[2][1];
788 mout[2][2] = m1[2][0]*m2[0][2] + m1[2][1]*m2[1][2] + m1[2][2]*m2[2][2];
807 mout[0][0] += m1[0][0]*m2[0][0] + m1[0][1]*m2[1][0] + m1[0][2]*m2[2][0];
808 mout[0][1] += m1[0][0]*m2[0][1] + m1[0][1]*m2[1][1] + m1[0][2]*m2[2][1];
809 mout[0][2] += m1[0][0]*m2[0][2] + m1[0][1]*m2[1][2] + m1[0][2]*m2[2][2];
811 mout[1][0] += m1[1][0]*m2[0][0] + m1[1][1]*m2[1][0] + m1[1][2]*m2[2][0];
812 mout[1][1] += m1[1][0]*m2[0][1] + m1[1][1]*m2[1][1] + m1[1][2]*m2[2][1];
813 mout[1][2] += m1[1][0]*m2[0][2] + m1[1][1]*m2[1][2] + m1[1][2]*m2[2][2];
815 mout[2][0] += m1[2][0]*m2[0][0] + m1[2][1]*m2[1][0] + m1[2][2]*m2[2][0];
816 mout[2][1] += m1[2][0]*m2[0][1] + m1[2][1]*m2[1][1] + m1[2][2]*m2[2][1];
817 mout[2][2] += m1[2][0]*m2[0][2] + m1[2][1]*m2[1][2] + m1[2][2]*m2[2][2];
842 sout[0] = s1[0]*s2[0] + s1[3]*s2[3] + s1[5]*s2[5];
844 sout[1] = s1[3]*s2[3] + s1[1]*s2[1] + s1[4]*s2[4];
846 sout[2] = s1[5]*s2[5] + s1[4]*s2[4] + s1[2]*s2[2];
848 sout[3] = s1[0]*s2[3] + s1[3]*s2[1] + s1[5]*s2[4];
850 sout[4] = s1[3]*s2[5] + s1[1]*s2[4] + s1[4]*s2[2];
852 sout[5] = s1[0]*s2[5] + s1[3]*s2[4] + s1[5]*s2[2];
870 int iindex[6], jindex[6];
872 tens2vect[0][0] = 0; tens2vect[0][1] = 3; tens2vect[0][2] = 5;
873 tens2vect[1][0] = 3; tens2vect[1][1] = 1; tens2vect[1][2] = 4;
874 tens2vect[2][0] = 5; tens2vect[2][1] = 4; tens2vect[2][2] = 2;
876 iindex[0] = 0; iindex[1] = 1; iindex[2] = 2;
877 iindex[3] = 0; iindex[4] = 1; iindex[5] = 0;
879 jindex[0] = 0; jindex[1] = 1; jindex[2] = 2;
880 jindex[3] = 1; jindex[4] = 2; jindex[5] = 2;
886 for (
int i = 0; i < 6; i++) {
889 for (
int k = 0;
k < 3;
k++) {
890 int ik = tens2vect[
k][ii];
891 int jk = tens2vect[
k][jj];
893 sout[
ik][i] += s[
k][jj];
895 sout[jk][i] += s[
k][ii];
923 _sout[0][0] = s1[0]*s2[0] + s1[3]*s2[3] + s1[5]*s2[5];
925 _sout[1][1] = s1[3]*s2[3] + s1[1]*s2[1] + s1[4]*s2[4];
927 _sout[2][2] = s1[5]*s2[5] + s1[4]*s2[4] + s1[2]*s2[2];
929 _sout[0][1] = s1[0]*s2[3] + s1[3]*s2[1] + s1[5]*s2[4];
931 _sout[1][0] = s2[0]*s1[3] + s2[3]*s1[1] + s2[5]*s1[4];
933 _sout[1][2] = s1[3]*s2[5] + s1[1]*s2[4] + s1[4]*s2[2];
935 _sout[2][1] = s2[3]*s1[5] + s2[1]*s1[4] + s2[4]*s1[2];
937 _sout[0][2] = s1[0]*s2[5] + s1[3]*s2[4] + s1[5]*s2[2];
939 _sout[2][0] = s2[0]*s1[5] + s2[3]*s1[4] + s2[5]*s1[2];
941 sout[0][0] = _sout[0][0]*s3[0] + _sout[0][1]*s3[3] + _sout[0][2]*s3[5];
943 sout[1][1] = _sout[1][0]*s3[3] + _sout[1][1]*s3[1] + _sout[1][2]*s3[4];
945 sout[2][2] = _sout[2][0]*s3[5] + _sout[2][1]*s3[4] + _sout[2][2]*s3[2];
947 sout[0][1] = _sout[0][0]*s3[3] + _sout[0][1]*s3[1] + _sout[0][2]*s3[4];
949 sout[1][0] = s3[0]*_sout[1][0] + s3[3]*_sout[1][1] + s3[5]*_sout[1][2];
951 sout[1][2] = _sout[1][0]*s3[5] + _sout[1][1]*s3[4] + _sout[1][2]*s3[2];
953 sout[2][1] = s3[3]*_sout[2][0] + s3[1]*_sout[2][1] + s3[4]*_sout[2][2];
955 sout[0][2] = _sout[0][0]*s3[5] + _sout[0][1]*s3[4] + _sout[0][2]*s3[2];
957 sout[2][0] = s3[0]*_sout[2][0] + s3[3]*_sout[2][1] + s3[5]*_sout[2][2];
973 cs_real_t magnitude = sqrt(v[0]*v[0]+v[1]*v[1]+v[2]*v[2]);
975 qv->
meas = magnitude;
979 qv->
unitv[0] = inv * v[0];
980 qv->
unitv[1] = inv * v[1];
981 qv->
unitv[2] = inv * v[2];
static void cs_math_sym_33_inv_cramer(const cs_real_t s[6], cs_real_t sout[restrict 6])
Compute the inverse of a symmetric matrix using Cramer's rule.
Definition: cs_math.h:740
Definition: cs_field_pointer.h:70
integer, save ik
Definition: numvar.f90:75
static cs_real_t cs_math_3_distance_dot_product(const cs_real_t xa[3], const cs_real_t xb[3], const cs_real_t xc[3])
Compute .
Definition: cs_math.h:212
#define restrict
Definition: cs_defs.h:122
static cs_real_t cs_math_3_dot_product(const cs_real_t u[3], const cs_real_t v[3])
Compute the dot product of two vectors of 3 real values.
Definition: cs_math.h:254
const cs_real_t cs_math_onesix
cs_real_t cs_real_6_t[6]
vector of 6 floating-point values
Definition: cs_defs.h:312
size_t len
Definition: mei_scanner.c:560
static void cs_math_3_normalise(const cs_real_t vin[3], cs_real_t vout[restrict 3])
Normalise a vector of 3 real values.
Definition: cs_math.h:333
const cs_real_t cs_math_big_r
static void cs_math_sym_33_3_product_add(const cs_real_t m[6], const cs_real_t v[3], cs_real_t mv[restrict 3])
Compute the product of a symmetric matrix of 3x3 real values by a vector of 3 real values and add it ...
Definition: cs_math.h:511
static void cs_math_66_6_product(const cs_real_t m[6][6], const cs_real_t v[6], cs_real_t mv[restrict 6])
Compute the product of a matrix of 6x6 real values by a vector of 6 real values.
Definition: cs_math.h:532
static cs_real_t cs_math_pow3(cs_real_t x)
Compute the cube of a real value.
Definition: cs_math.h:153
static void cs_math_33_inv_cramer_in_place(cs_real_t a[3][3])
Inverse a 3x3 matrix in place, using Cramer's rule.
Definition: cs_math.h:670
static void cs_math_33_3_product(const cs_real_t m[3][3], const cs_real_t v[3], cs_real_3_t mv)
Compute the product of a matrix of 3x3 real values by a vector of 3 real values.
Definition: cs_math.h:425
const cs_real_t cs_math_pi
#define BEGIN_C_DECLS
Definition: cs_defs.h:462
void cs_math_fw_and_bw_lu(const cs_real_t a_lu[], const int n, cs_real_t x[], const cs_real_t b[])
Block Jacobi utilities. Compute forward and backward to solve an LU P*P system.
Definition: cs_math.c:537
const cs_real_t cs_math_epzero
static cs_real_t cs_math_sym_33_determinant(const cs_real_6_t m)
Compute the determinant of a 3x3 symmetric matrix.
Definition: cs_math.h:595
static cs_real_t cs_math_3_distance(const cs_real_t xa[3], const cs_real_t xb[3])
Compute the (euclidean) distance between two points xa and xb in a cartesian coordinate system of dim...
Definition: cs_math.h:187
static void cs_math_33_normal_scaling_add(const cs_real_t n[3], cs_real_t factor, cs_real_33_t t)
Add the dot product with a normal vector to the normal,normal component of a tensor: t += factor * n...
Definition: cs_math.h:400
void cs_math_33_eigen(const cs_real_t m[3][3], cs_real_t *eig_ratio, cs_real_t *eig_max)
Compute max/min eigenvalues ratio and max. eigenvalue of a 3x3 symmetric matrix with non-symmetric st...
Definition: cs_math.c:300
static void cs_math_sym_33_double_product(const cs_real_t s1[6], const cs_real_t s2[6], const cs_real_t s3[6], cs_real_t sout[restrict 3][3])
Compute the product of three symmetric matrices.
Definition: cs_math.h:915
double cs_real_t
Floating-point value.
Definition: cs_defs.h:297
static cs_real_t cs_math_3_33_3_dot_product(const cs_real_t n1[3], const cs_real_t t[3][3], const cs_real_t n2[3])
Compute the dot product of a tensor t with two vectors n1, and n2 n1 t n2.
Definition: cs_math.h:277
Definition: cs_defs.h:338
Definition: cs_field_pointer.h:68
const cs_real_t cs_math_one24
static cs_real_t cs_math_3_square_norm(const cs_real_t v[3])
Compute the square norm of a vector of 3 real values.
Definition: cs_math.h:316
static cs_real_t cs_math_sq(cs_real_t x)
Compute the square of a real value.
Definition: cs_math.h:121
double cs_math_surftri(const cs_real_t xv[3], const cs_real_t xe[3], const cs_real_t xf[3])
Compute the area of the convex_hull generated by 3 points. This corresponds to the computation of the...
Definition: cs_math.c:420
double precision, dimension(:,:,:), allocatable v
Definition: atimbr.f90:114
static void cs_math_sym_33_product(const cs_real_t s1[6], const cs_real_t s2[6], cs_real_t sout[restrict 6])
Compute the product of two symmetric matrices. Warning: this is valid if and only if s1 and s2 commut...
Definition: cs_math.h:837
static void cs_math_66_6_product_add(const cs_real_t m[6][6], const cs_real_t v[6], cs_real_t mv[restrict 6])
Compute the product of a matrix of 6x6 real values by a vector of 6 real values and add it to the vec...
Definition: cs_math.h:554
double cs_math_get_machine_epsilon(void)
Get the value related to the machine precision.
Definition: cs_math.c:195
const cs_real_t cs_math_onetwelve
static void cs_math_33_inv_cramer_sym_in_place(cs_real_t a[3][3])
Inverse a 3x3 symmetric matrix (with non-symmetric storage) in place, using Cramer's rule...
Definition: cs_math.h:705
void cs_math_set_machine_epsilon(void)
Compute the value related to the machine precision.
Definition: cs_math.c:174
static cs_real_t cs_math_pow2(cs_real_t x)
Compute the square of a real value.
Definition: cs_math.h:137
double precision, save a
Definition: cs_fuel_incl.f90:146
double cs_math_voltet(const cs_real_t xv[3], const cs_real_t xe[3], const cs_real_t xf[3], const cs_real_t xc[3])
Compute the volume of the convex_hull generated by 4 points. This is equivalent to the computation of...
Definition: cs_math.c:450
double meas
Definition: cs_defs.h:340
void cs_math_sym_33_eigen(const cs_real_t m[6], cs_real_t eig_vals[3])
Compute all eigenvalues of a 3x3 symmetric matrix with symmetric storage.
Definition: cs_math.c:215
static cs_real_t cs_math_33_determinant(const cs_real_t m[3][3])
Compute the determinant of a 3x3 matrix.
Definition: cs_math.h:575
static void cs_math_33_product(const cs_real_t m1[3][3], const cs_real_t m2[3][3], cs_real_33_t mout)
Compute the product of a matrix of 3x3 real values by a matrix of 3x3 real values.
Definition: cs_math.h:774
static cs_real_t cs_math_3_norm(const cs_real_t v[3])
Compute the euclidean norm of a vector of dimension 3.
Definition: cs_math.h:300
static void cs_math_33_inv_cramer(const cs_real_t in[3][3], cs_real_t out[3][3])
Inverse a 3x3 matrix.
Definition: cs_math.h:638
cs_real_t cs_real_3_t[3]
vector of 3 floating-point values
Definition: cs_defs.h:310
static void cs_math_3_orthogonal_projection(const cs_real_t n[3], const cs_real_t v[3], cs_real_t vout[restrict 3])
Orthogonal projection of a vector with respect to a normalised vector.
Definition: cs_math.h:357
static void cs_math_3_cross_product(const cs_real_t u[3], const cs_real_t v[3], cs_real_t uv[restrict 3])
Compute the cross product of two vectors of 3 real values.
Definition: cs_math.h:619
static void cs_math_33_3_product_add(const cs_real_t m[3][3], const cs_real_t v[3], cs_real_3_t mv)
Compute the product of a matrix of 3x3 real values by a vector of 3 real values add.
Definition: cs_math.h:446
const cs_real_t cs_math_zero_threshold
double unitv[3]
Definition: cs_defs.h:341
const cs_real_t cs_math_onethird
int cs_lnum_t
local mesh entity id
Definition: cs_defs.h:293
static cs_real_t cs_math_pow4(cs_real_t x)
Compute the 4-th power of a real value.
Definition: cs_math.h:169
static int cs_math_binom(short int n, short int k)
Computes the binomial coefficient of n and k.
Definition: cs_math.h:91
static void cs_math_3_normal_scaling(const cs_real_t n[3], cs_real_t factor, cs_real_3_t v)
Add the dot product with a normal vector to the normal direction to a vector.
Definition: cs_math.h:378
static cs_real_t cs_math_3_square_distance(const cs_real_t xa[3], const cs_real_t xb[3])
Compute the squared distance between two points xa and xb in a cartesian coordinate system of dimensi...
Definition: cs_math.h:232
static void cs_nvec3(const cs_real_3_t v, cs_nvec3_t *qv)
Define a cs_nvec3_t structure from a cs_real_3_t.
Definition: cs_math.h:970
#define END_C_DECLS
Definition: cs_defs.h:463
static void cs_math_33t_3_product(const cs_real_t m[3][3], const cs_real_t v[3], cs_real_3_t mv)
Compute the product of the transpose of a matrix of 3x3 real values by a vector of 3 real values...
Definition: cs_math.h:467
static void cs_math_33_product_add(const cs_real_t m1[3][3], const cs_real_t m2[3][3], cs_real_33_t mout)
Compute the product of a matrix of 3x3 real values by a matrix of 3x3 real values and add...
Definition: cs_math.h:803
cs_real_t cs_real_33_t[3][3]
3x3 matrix of floating-point values
Definition: cs_defs.h:316
Definition: cs_field_pointer.h:96
static void cs_math_sym_33_3_product(const cs_real_t m[6], const cs_real_t v[3], cs_real_t mv[restrict 3])
Compute the product of a symmetric matrix of 3x3 real values by a vector of 3 real values...
Definition: cs_math.h:489
void cs_math_3_length_unitv(const cs_real_t xa[3], const cs_real_t xb[3], cs_real_t *len, cs_real_3_t unitv)
Compute the length (euclidien norm) between two points xa and xb in a cartesian coordinate system of ...
Definition: cs_math.c:387
const cs_real_t cs_math_infinite_r
void cs_math_fact_lu(cs_lnum_t n_blocks, const int b_size, const cs_real_t *a, cs_real_t *a_lu)
Compute LU factorization of an array of dense matrices of identical size.
Definition: cs_math.c:479
static void cs_math_reduce_sym_prod_33_to_66(const cs_real_t s[3][3], cs_real_t sout[restrict 6][6])
Compute a 6x6 matrix A, equivalent to a 3x3 matrix s, such as: A*R_6 = R*s^t + s*R.
Definition: cs_math.h:866
double precision, save b
Definition: cs_fuel_incl.f90:146