Trait ndarray_linalg::solveh::SolveH
source · pub trait SolveH<A: Scalar> {
// Required method
fn solveh_inplace<'a, S: DataMut<Elem = A>>(
&self,
b: &'a mut ArrayBase<S, Ix1>,
) -> Result<&'a mut ArrayBase<S, Ix1>>;
// Provided methods
fn solveh<S: Data<Elem = A>>(
&self,
b: &ArrayBase<S, Ix1>,
) -> Result<Array1<A>> { ... }
fn solveh_into<S: DataMut<Elem = A>>(
&self,
b: ArrayBase<S, Ix1>,
) -> Result<ArrayBase<S, Ix1>> { ... }
}
Expand description
An interface for solving systems of Hermitian (or real symmetric) linear equations.
If you plan to solve many equations with the same Hermitian (or real
symmetric) coefficient matrix A
but different b
vectors, it’s faster to
factor the A
matrix once using the FactorizeH
trait, and then solve
using the BKFactorized
struct.
Required Methods§
sourcefn solveh_inplace<'a, S: DataMut<Elem = A>>(
&self,
b: &'a mut ArrayBase<S, Ix1>,
) -> Result<&'a mut ArrayBase<S, Ix1>>
fn solveh_inplace<'a, S: DataMut<Elem = A>>( &self, b: &'a mut ArrayBase<S, Ix1>, ) -> Result<&'a mut ArrayBase<S, Ix1>>
Solves a system of linear equations A * x = b
with Hermitian (or real
symmetric) matrix A
, where A
is self
, b
is the argument, and
x
is the successful result. The value of x
is also assigned to the
argument.
§Panics
Panics if the length of b
is not the equal to the number of columns
of A
.
Provided Methods§
sourcefn solveh<S: Data<Elem = A>>(&self, b: &ArrayBase<S, Ix1>) -> Result<Array1<A>>
fn solveh<S: Data<Elem = A>>(&self, b: &ArrayBase<S, Ix1>) -> Result<Array1<A>>
Solves a system of linear equations A * x = b
with Hermitian (or real
symmetric) matrix A
, where A
is self
, b
is the argument, and
x
is the successful result.
§Panics
Panics if the length of b
is not the equal to the number of columns
of A
.
sourcefn solveh_into<S: DataMut<Elem = A>>(
&self,
b: ArrayBase<S, Ix1>,
) -> Result<ArrayBase<S, Ix1>>
fn solveh_into<S: DataMut<Elem = A>>( &self, b: ArrayBase<S, Ix1>, ) -> Result<ArrayBase<S, Ix1>>
Solves a system of linear equations A * x = b
with Hermitian (or real
symmetric) matrix A
, where A
is self
, b
is the argument, and
x
is the successful result.
§Panics
Panics if the length of b
is not the equal to the number of columns
of A
.