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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/dtrmv/README.md
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# dtrmv
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> Perform one of the matrix-vector operations `x = A*x`, or `x = A**T*x`, where `x` is an `N` element vector, and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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> Perform one of the matrix-vector operations `x = A*x` or `x = A**T*x`, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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<sectionclass = "usage">
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#### dtrmv( order, uplo, trans, diag, N, A, LDA, x, sx )
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Performs one of the matrix-vector operations `x = A*x`, or `x = A**T*x`, where `x` is an `N` element vector, and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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Performs one of the matrix-vector operations `x = A*x` or `x = A**T*x`, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
The stride parameters determine how elements in the input arrays are accessed at runtime. For example, to iterate over the elements of `x` in reverse order,
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#### dtrmv.ndarray( order, uplo, trans, diag, N, A, LDA, x, sx, ox )
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#### dtrmv.ndarray( order, uplo, trans, diag, N, A, sa1, sa2, oa, x, sx, ox )
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Performs one of the matrix-vector operations `x = A*x`, or `x = A**T*x`, using alternative indexing semantics, where `x` is an `N` element vector, and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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Performs one of the matrix-vector operations `x = A*x` or `x = A**T*x`, using alternative indexing semantics, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
The function has the following additional parameters:
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-**sa1**: stride of the first dimension of `A`.
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-**sa2**: stride of the second dimension of `A`.
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-**oa**: starting index for `A`.
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-**ox**: starting index for `x`.
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While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/blas/base/dtrmv/docs/types/index.d.ts
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* Performs one of the matrix-vector operations `x = A*x` or `x = A**T*x`, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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*
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* @param order - storage layout
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* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
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* @param trans - specifies whether the matrix `A` is transposed, conjugate-transposed, or not transposed
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* @param diag - specifies whether the matrix `A` has a unit diagonal
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* @param uplo - specifies whether `A` is an upper or lower triangular matrix
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* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
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* @param diag - specifies whether `A` has a unit diagonal
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* @param N - number of elements along each dimension in the matrix `A`
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* @param A - input matrix
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* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
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* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] );
* Performs one of the matrix-vector operations `x = A*x` or `x = A**T*x`, using alternative indexing semantics, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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*
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* @param order - storage layout
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* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
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* @param trans - specifies whether the matrix `A` is transposed, conjugate-transposed, or not transposed
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* @param diag - specifies whether the matrix `A` has a unit diagonal
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* @param uplo - specifies whether `A` is an upper or lower triangular matrix
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* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
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* @param diag - specifies whether `A` has a unit diagonal
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* @param N - number of elements along each dimension in the matrix `A`
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* @param A - input matrix
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* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
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* @param strideA1 - stride of the first dimension of `A`
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* @param strideA2 - stride of the first dimension of `A`
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* @param offsetA - starting index for `A`
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* @param x - first input array
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* @param x - input vector
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* @param strideX - `x` stride length
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* @param offsetX - starting index for `x`
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* @returns `x`
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* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] );
* Performs one of the matrix-vector operations `x = A*x` or `x = A**T*x`, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
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*
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* @param order - storage layout
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* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
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* @param trans - specifies whether the matrix `A` is transposed, conjugate-transposed, or not transposed
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* @param diag - specifies whether the matrix `A` has a unit diagonal
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* @param uplo - specifies whether `A` is an upper or lower triangular matrix
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* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
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* @param diag - specifies whether `A` has a unit diagonal
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* @param N - number of elements along each dimension in the matrix `A`
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* @param A - input matrix
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* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
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* var A = new Float64Array( [ 1.0, 0.0, 0.0, 2.0, 3.0, 0.0, 4.0, 5.0, 6.0 ] );
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