sparse_inner_product_dense_double(_:_:_:_:_:)

Declaration

func sparse_inner_product_dense_double(_ nz: sparse_dimension, _ x: UnsafePointer<Double>!, _ indx: UnsafePointer<sparse_index>!, _ y: UnsafePointer<Double>!, _ incy: sparse_stride) -> Double

Parameters

• nz:

  The number of nonzero entries in the sparse vector x.

• x:

  Pointer to the dense storage for the values of the sparse vector x. The corresponding entry in indx holds the index of the value. Contains nz values.

• indx:

  Pointer to the dense storage for the index values of the sparse vector x. The corresponding entry in x holds the values of the vector. Contains nz values.

• y:

  Pointer to the dense vector y. Accessed as y[indx[0..nz-1]*incy], so dimension must be compatible with largest index value in indx. The behavior of this function is undefined if this is not met. Negative strides are supported. Note, unlike dense BLAS routines, the pointer points to the last element when stride is negative.

• incy:

  Increment between valid values in the dense vector y. Negative strides are supported.

Return Value

The inner product of sparse vector x with dense vector y. Returns zero if nz is less than or equal to zero.

Discussion

Indices in indx are always assumed to be stored in ascending order. Additionally, indices are assumed to be unique. The behavior of this function is undefined if either of these assumptions are not met.

All indices are 0 based (the first element of a pointer is ptr[0]).

See Also

Vector-Vector Operations

• sparse_inner_product_dense_float(_:_:_:_:_:)
• sparse_inner_product_sparse_double(_:_:_:_:_:_:)
• sparse_inner_product_sparse_float(_:_:_:_:_:_:)
• sparse_vector_add_with_scale_dense_double(_:_:_:_:_:_:)
• sparse_vector_add_with_scale_dense_float(_:_:_:_:_:_:)
• sparse_vector_norm_double(_:_:_:_:)
• sparse_vector_norm_float(_:_:_:_:)