Level 2: matrix-vector operations, O(n^2) work

Matrix operations that perform \(O(n^2)\) work on \(O(n^2)\) data. More...

Modules
	gemv: General matrix-vector multiply
	\(y = \alpha Ax + \beta y\)
	ger: General matrix rank 1 update
	\(A = \alpha xy^H + A\)
	geru: General matrix rank 1 update, unconjugated
	\(A = \alpha xy^T + A\)
	hemv: Hermitian matrix-vector multiply
	\(y = \alpha Ax + \beta y\)
	her: Hermitian rank 1 update
	\(A = \alpha xx^H + A\)
	her2: Hermitian rank 2 update
	\(A = \alpha xy^H + conj(\alpha) yx^H + A\)
	symv: Symmetric matrix-vector multiply
	\(y = \alpha Ax + \beta y\)
	syr: Symmetric rank 1 update
	\(A = \alpha xx^T + A\)
	syr2: Symmetric rank 2 update
	\(A = \alpha xy^T + \alpha yx^T + A\)
	trmv: Triangular matrix-vector multiply
	\(x = Ax\)
	trsv: Triangular matrix-vector solve
	\(x = op(A^{-1})\; b\)

Detailed Description

Matrix operations that perform \(O(n^2)\) work on \(O(n^2)\) data.

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These are memory bound, since every operation requires a memory read or write.