Definition at line 73 of file mroot_hybrids.h.
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double | compute_actual_reduction (double fnorm0, double fnorm1) |
| Compute the actual reduction.
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double | compute_predicted_reduction (double fnorm0, double fnorm1) |
| Compute the predicted reduction phi1p=|Q^T f + R dx|.
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template<class vec2_t , class mat_t > |
void | compute_Rg (size_t N, const mat_t &r2, const ubvector &gradient2, vec2_t &Rg) |
| Compute where g is the gradient.
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template<class vec2_t > |
void | compute_wv (size_t n, const ubvector &qtdf2, const ubvector &rdx2, const vec2_t &dx2, const ubvector &diag2, double pnorm, ubvector &w2, ubvector &v2) |
| Compute w and v .
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template<class vec2_t , class mat_t > |
void | compute_rdx (size_t N, const mat_t &r2, const vec2_t &dx2, ubvector &rdx2) |
| Compute .
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template<class vec2_t , class vec3_t > |
double | scaled_enorm (size_t n, const vec2_t &d, const vec3_t &ff) |
| Compute the norm of the vector defined by .
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template<class vec2_t > |
double | compute_delta (size_t n, ubvector &diag2, vec2_t &x2) |
| Compute delta.
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template<class vec2_t > |
double | enorm (size_t N, const vec2_t &ff) |
| Compute the Euclidean norm of ff . More...
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double | enorm_sum (size_t n, const ubvector &a, const ubvector &b) |
| Compute the Euclidean norm of the sum of a and b .
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template<class vec2_t > |
int | compute_trial_step (size_t N, vec2_t &xl, vec2_t &dxl, vec2_t &xx_trial) |
| Compute a trial step and put the result in xx_trial . More...
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template<class vec2_t > |
int | compute_df (size_t n, const vec2_t &ff_trial, const vec2_t &fl, ubvector &dfl) |
| Compute the change in the function value. More...
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template<class mat2_t > |
void | compute_diag (size_t n, const mat2_t &J2, ubvector &diag2) |
| Compute diag , the norm of the columns of the Jacobian.
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template<class vec2_t , class vec3_t , class vec4_t > |
void | compute_qtf (size_t N, const vec2_t &q2, const vec3_t &f2, vec4_t &qtf2) |
| Compute . More...
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template<class mat2_t > |
void | update_diag (size_t n, const mat2_t &J2, ubvector &diag2) |
| Update diag .
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template<class vec2_t > |
void | scaled_addition (size_t N, double alpha, ubvector &newton2, double beta, ubvector &gradient2, vec2_t &pp) |
| Form appropriate convex combination of the Gauss-Newton direction and the scaled gradient direction. More...
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template<class mat_t > |
int | newton_direction (const size_t N, const mat_t &r2, const ubvector &qtf2, ubvector &p) |
| Compute the Gauss-Newton direction.
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template<class mat_t > |
void | gradient_direction (const size_t M, const size_t N, const mat_t &r2, const ubvector &qtf2, const ubvector &diag2, ubvector &g) |
| Compute the gradient direction.
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void | minimum_step (const size_t N, double gnorm, const ubvector &diag2, ubvector &g) |
| Compute the point at which the gradient is minimized.
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template<class vec2_t , class mat_t > |
int | dogleg (size_t n, const mat_t &r2, const ubvector &qtf2, const ubvector &diag2, double delta2, ubvector &newton2, ubvector &gradient2, vec2_t &p) |
| Take a dogleg step. More...
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