Struct gmt_dos_clients_fem::ExponentialMatrix
source · pub struct ExponentialMatrix {
pub tau: f64,
pub y: Vec<f64>,
/* private fields */
}
Expand description
This structure is used to convert a continuous 2nd order ODE into a discrete state space model
Fields§
§tau: f64
Sampling time is second
y: Vec<f64>
State space model output vector
Implementations§
Trait Implementations§
source§impl Clone for ExponentialMatrix
impl Clone for ExponentialMatrix
source§fn clone(&self) -> ExponentialMatrix
fn clone(&self) -> ExponentialMatrix
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl Debug for ExponentialMatrix
impl Debug for ExponentialMatrix
source§impl Default for ExponentialMatrix
impl Default for ExponentialMatrix
source§fn default() -> ExponentialMatrix
fn default() -> ExponentialMatrix
Returns the “default value” for a type. Read more
source§impl<'de> Deserialize<'de> for ExponentialMatrix
impl<'de> Deserialize<'de> for ExponentialMatrix
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
source§impl Display for ExponentialMatrix
impl Display for ExponentialMatrix
source§impl Serialize for ExponentialMatrix
impl Serialize for ExponentialMatrix
source§impl Solver for ExponentialMatrix
impl Solver for ExponentialMatrix
source§fn from_second_order(
tau: f64,
omega: f64,
zeta: f64,
continuous_bb: Vec<f64>,
continuous_cc: Vec<f64>
) -> Self
fn from_second_order( tau: f64, omega: f64, zeta: f64, continuous_bb: Vec<f64>, continuous_cc: Vec<f64> ) -> Self
Creates a discrete state space model from a 2nd order ODE
Creates a new structure from the sampling time $\tau
$, the eigen frequency $\omega
$ in radians, the damping coefficient $\zeta
$ and the vectors $b
$ and $c
$ that converts a input vector to a modal coefficient and a model coefficient to an output vector, respectively
Auto Trait Implementations§
impl Freeze for ExponentialMatrix
impl RefUnwindSafe for ExponentialMatrix
impl Send for ExponentialMatrix
impl Sync for ExponentialMatrix
impl Unpin for ExponentialMatrix
impl UnwindSafe for ExponentialMatrix
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§impl<T> Pointable for T
impl<T> Pointable for T
source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
source§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self
from the equivalent element of its
superset. Read moresource§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self
is actually part of its subset T
(and can be converted to it).source§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset
but without any property checks. Always succeeds.source§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self
to the equivalent element of its superset.