Defines | |
#define | GAN_VEC_NORMALISE gan_vec2_normalize |
#define | GAN_VEC_NORM_FNAME "gan_vec2_normalize" |
#define | GAN_VECTYPE Gan_Vector2 |
#define | GAN_SQUMATTYPE Gan_SquMatrix22 |
#define | GAN_VEC_SCALE_S gan_vec2_scale_s |
#define | GAN_VEC_DIVIDE_S gan_vec2_divide_s |
#define | GAN_VEC_DOT_S gan_vec2_dot_s |
#define | GAN_VEC_SQRLEN_S gan_vec2_sqrlen_s |
#define | GAN_VEC_OUTER_SYM_Q gan_vec22_outer_sym_q |
#define | GAN_SYMMAT_IDENT_S gan_symmat22_ident_s |
#define | GAN_SYMMAT_INVERT_Q gan_symmat22_invert_q |
#define | GAN_SYMMAT_ZERO_Q gan_symmat22_zero_q |
#define | GAN_SYMMAT_MULTV_Q gan_symmat22_multv2_q |
#define | GAN_SYMMAT_DIVIDE_S gan_symmat22_divide_s |
#define | GAN_SYMMAT_DIVIDE_I gan_symmat22_divide_i |
#define | GAN_SYMMAT_INCREMENT gan_symmat22_increment |
#define | GAN_SYMMAT_TRACE_S gan_symmat22_trace_s |
#define | GAN_SYMMAT_SUB_Q gan_symmat22_sub_q |
#define | GAN_SYMMAT_SUMSQR_Q gan_symmat22_sumsqr_q |
#define | GAN_SYMMAT_CHOLESKY_Q gan_symmat22_cholesky_q |
#define | GAN_LTMATI_MULTV_S gan_ltmat22I_multv2_s |
Functions | |
Gan_Bool | gan_vec2_normalize (Gan_Vector2 *b, int n, double term_threshold, int max_iterations, Gan_SquMatrix22 *Lp) |
Normalize array of 2x1 vectors to identity inertia moment. | |
Gan_Bool | gan_vec3_normalize (Gan_Vector3 *b, int n, double term_threshold, int max_iterations, Gan_SquMatrix33 *Lp) |
Normalize array of 3x1 vectors to identity inertia moment. | |
Gan_Bool | gan_vec4_normalize (Gan_Vector4 *b, int n, double term_threshold, int max_iterations, Gan_SquMatrix44 *Lp) |
Normalize array of 2x1 vectors to identity inertia moment. |
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Normalize array of 2x1 vectors to identity inertia moment.
![]() ![]() satisfy the equation ![]()
where
term_threshold specifies a threshold on the smallness of an adjustment to max_iterations specifies the maximum number of iterations to perform. If this is reached without the above threshold being reached, the algorithm terminates with failure, returning GAN_FALSE.
Lp is a pointer set to the final solution for the triangular matrix
Upon successful termination, the row vectors b are transformed to
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Normalize array of 3x1 vectors to identity inertia moment.
![]() ![]() satisfy the equation ![]()
where
term_threshold specifies a threshold on the smallness of an adjustment to max_iterations specifies the maximum number of iterations to perform. If this is reached without the above threshold being reached, the algorithm terminates with failure, returning GAN_FALSE.
Lp is a pointer set to the final solution for the triangular matrix
Upon successful termination, the row vectors b are transformed to
|
|
Normalize array of 2x1 vectors to identity inertia moment.
![]() ![]() satisfy the equation ![]()
where
term_threshold specifies a threshold on the smallness of an adjustment to max_iterations specifies the maximum number of iterations to perform. If this is reached without the above threshold being reached, the algorithm terminates with failure, returning GAN_FALSE.
Lp is a pointer set to the final solution for the triangular matrix
Upon successful termination, the row vectors b are transformed to
|