Struct russell_sparse::StatsLinSolMUMPS

pub struct StatsLinSolMUMPS {
    pub inf_norm_a: f64,
    pub inf_norm_x: f64,
    pub scaled_residual: f64,
    pub backward_error_omega1: f64,
    pub backward_error_omega2: f64,
    pub normalized_delta_x: f64,
    pub condition_number1: f64,
    pub condition_number2: f64,
}

Holds the results of MUMPS error analysis (“stats”)

See page 40 of MUMPS User’s guide

MUMPS: computes the backward errors omega1 and omega2 (page 14):

                                      |b - A · x_bar|ᵢ
omega1 = largest_scaled_residual_of ————————————————————
                                    (|b| + |A| |x_bar|)ᵢ

                                           |b - A · x_bar|ᵢ
omega2 = largest_scaled_residual_of ——————————————————————————————————
                                    (|A| |x_approx|)ᵢ + ‖Aᵢ‖∞ ‖x_bar‖∞

where x_bar is the actual (approximate) solution returned by the linear solver

Fields

inf_norm_a: f64

Holds the infinite norm of the input matrix, RINFOG(4)

inf_norm_x: f64

Holds the infinite norm of the computed solution, RINFOG(5)

scaled_residual: f64

Holds the scaled residual, RINFOG(6)

backward_error_omega1: f64

Holds the backward error estimate omega1, RINFOG(7)

backward_error_omega2: f64

Holds the backward error estimate omega2, RINFOG(8)

normalized_delta_x: f64

Holds the normalized variation of the solution vector, RINFOG(9)

Requires the full “stat” analysis.

condition_number1: f64

Holds the condition number1, RINFOG(10)

Requires the full “stat” analysis.

condition_number2: f64

Holds the condition number2, RINFOG(11)

Requires the full “stat” analysis.

Trait Implementations

impl Clone for StatsLinSolMUMPS

fn clone(&self) -> StatsLinSolMUMPS

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StatsLinSolMUMPS

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for StatsLinSolMUMPS

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for StatsLinSolMUMPS

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.