Function xpotrs 

pub fn xpotrs<TA: DataTypeLike, TB: DataTypeLike>(
    ctx: &Context,
    params: &Params,
    fill_mode: FillMode,
    n: usize,
    nrhs: usize,
    a: MatrixRef<'_, TA>,
    b: MatrixMut<'_, TB>,
    dev_info: &mut DeviceMemory<i32>,
) -> Result<()>

Solves a system of linear equations.

Here A is an $n \times n$ Hermitian matrix; only its lower or upper triangular part is meaningful. fill_mode indicates which part of the matrix is used. The operation leaves the other part untouched.

Call xpotrf first to factorize matrix A. If fill_mode is FillMode::Lower, A is lower triangular Cholesky factor L corresponding to $A = L\cdot L^{H}$. If fill_mode is FillMode::Upper, A is upper triangular Cholesky factor U corresponding to $A = U^{H}\cdot U$.

The operation is in-place, that is, matrix X overwrites matrix B with the same leading dimension ldb.

If the reported info value is -i, the ith parameter is invalid.

Currently, xpotrs supports only the default algorithm.

Algorithms supported by xpotrs

Algorithm	Notes
AlgorithmMode::Default	Default algorithm.

List of input arguments for xpotrs:

The generic cuSOLVER routine separates matrix data types: data_type_a is the data type of matrix A, and data_type_b is the data type of matrix B. xpotrs only supports the following four combinations.

Valid combination of data type and compute type

data_type_a	data_type_b	Meaning
DataType::F32	DataType::F32	SPOTRS
DataType::F64	DataType::F64	DPOTRS
DataType::ComplexF32	DataType::ComplexF32	CPOTRS
DataType::ComplexF64	DataType::ComplexF64	ZPOTRS

Errors

Returns an error if cuSOLVER has not been initialized, if the matrix dimensions, right-hand-side count, or leading dimensions are invalid, or if cuSOLVER reports an internal failure.