Uses of Class
jcuda.jcublas.cuDoubleComplex

Uses of cuDoubleComplex in jcuda.jcublas

Methods in jcuda.jcublas that return cuDoubleComplex

static cuDoubleComplex	cuDoubleComplex.cuCadd(cuDoubleComplex x, cuDoubleComplex y) Returns a new complex number that is the sum of the given complex numbers.
static cuDoubleComplex	cuDoubleComplex.cuCdiv(cuDoubleComplex x, cuDoubleComplex y) Returns the quotient of the given complex numbers.
static cuDoubleComplex	cuDoubleComplex.cuCmplx(double r, double i) Creates a new complex number consisting of the given real and imaginary part.
static cuDoubleComplex	cuDoubleComplex.cuCmul(cuDoubleComplex x, cuDoubleComplex y) Returns the product of the given complex numbers.
static cuDoubleComplex	cuDoubleComplex.cuConj(cuDoubleComplex x) Returns the complex conjugate of the given complex number.

Methods in jcuda.jcublas with parameters of type cuDoubleComplex

static int	JCublas.cublasGetMatrix(int rows, int cols, jcuda.Pointer A, int lda, cuDoubleComplex[] B, int offsetB, int ldb) Extended wrapper for arrays of cuDoubleComplex values.
static int	JCublas.cublasGetVector(int n, jcuda.Pointer x, int incx, cuDoubleComplex[] y, int offsety, int incy) Extended wrapper for arrays of cuDoubleComplex values.
static int	JCublas.cublasSetMatrix(int rows, int cols, cuDoubleComplex[] A, int offsetA, int lda, jcuda.Pointer B, int ldb) Extended wrapper for arrays of cuDoubleComplex values.
static int	JCublas.cublasSetVector(int n, cuDoubleComplex[] x, int offsetx, int incx, jcuda.Pointer y, int incy) Extended wrapper for arrays of cuDoubleComplex values.
static void	JCublas.cublasZgemm(char transa, char transb, int m, int n, int k, cuDoubleComplex alpha, jcuda.Pointer A, int lda, jcuda.Pointer B, int ldb, cuDoubleComplex beta, jcuda.Pointer C, int ldc) void cublasZgemm (char transa, char transb, int m, int n, int k, cuDoubleComplex alpha, const cuDoubleComplex *A, int lda, const cuDoubleComplex *B, int ldb, cuDoubleComplex beta, cuDoubleComplex *C, int ldc) zgemm performs one of the matrix-matrix operations C = alpha * op(A) * op(B) + beta*C, where op(X) is one of op(X) = X or op(X) = transpose or op(X) = conjg(transpose(X)) alpha and beta are double-complex scalars, and A, B and C are matrices consisting of double-complex elements, with op(A) an m x k matrix, op(B) a k x n matrix and C an m x n matrix.
static void	JCublas.cublasZgemv(char trans, int m, int n, cuDoubleComplex alpha, jcuda.Pointer A, int lda, jcuda.Pointer x, int incx, cuDoubleComplex beta, jcuda.Pointer y, int incy) cublasZgemv (char trans, int m, int n, cuDoubleComplex alpha, const cuDoubleComplex *A, int lda, const cuDoubleComplex *x, int incx, cuDoubleComplex beta, cuDoubleComplex *y, int incy) performs one of the matrix-vector operations y = alpha * op(A) * x + beta * y, where op(A) is one of op(A) = A or op(A) = transpose(A) where alpha and beta are double precision scalars, x and y are double precision vectors, and A is an m x n matrix consisting of double precision elements.
static void	JCublas.cublasZscal(int n, cuDoubleComplex alpha, jcuda.Pointer x, int incx) void cublasZscal (int n, cuComplex alpha, cuComplex *x, int incx) replaces double-complex vector x with double-complex alpha * x.
static void	JCublas.cublasZsyrk(char uplo, char trans, int n, int k, cuDoubleComplex alpha, jcuda.Pointer A, int lda, cuDoubleComplex beta, jcuda.Pointer C, int ldc) void cublasZsyrk (char uplo, char trans, int n, int k, cuDoubleComplex alpha, const cuDoubleComplex *A, int lda, cuDoubleComplex beta, cuDoubleComplex *C, int ldc) performs one of the symmetric rank k operations C = alpha * A * transpose(A) + beta * C, or C = alpha * transpose(A) * A + beta * C.
static void	JCublas.cublasZtrsm(char side, char uplo, char transa, char diag, int m, int n, cuDoubleComplex alpha, jcuda.Pointer A, int lda, jcuda.Pointer B, int ldb) void cublasZtrsm (char side, char uplo, char transa, char diag, int m, int n, cuDoubleComplex alpha, const cuDoubleComplex *A, int lda, cuDoubleComplex *B, int ldb) solves one of the matrix equations op(A) * X = alpha * B, or X * op(A) = alpha * B, where alpha is a double precision complex scalar, and X and B are m x n matrices that are composed of double precision complex elements.
static double	cuDoubleComplex.cuCabs(cuDoubleComplex x) Returns the absolute value of the given complex number.
static cuDoubleComplex	cuDoubleComplex.cuCadd(cuDoubleComplex x, cuDoubleComplex y) Returns a new complex number that is the sum of the given complex numbers.
static cuDoubleComplex	cuDoubleComplex.cuCdiv(cuDoubleComplex x, cuDoubleComplex y) Returns the quotient of the given complex numbers.
static double	cuDoubleComplex.cuCimag(cuDoubleComplex x) Returns the imaginary part of the given complex number.
static cuDoubleComplex	cuDoubleComplex.cuCmul(cuDoubleComplex x, cuDoubleComplex y) Returns the product of the given complex numbers.
static cuDoubleComplex	cuDoubleComplex.cuConj(cuDoubleComplex x) Returns the complex conjugate of the given complex number.
static double	cuDoubleComplex.cuCreal(cuDoubleComplex x) Returns the real part of the given complex number.