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docs: fix descriptions
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‎lib/node_modules/@stdlib/blas/base/README.md‎

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### Utilities
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<!-- <toc pattern="+(*assert|*diagonal*|*layout*|*matrix*|*operation*|*transpose*)"> -->
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<!-- <toc pattern="+(*assert|*diagonal*|*layout*|*matrix*|*orientation*|*operation*|*transpose*)"> -->
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<div class="namespace-toc">
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‎lib/node_modules/@stdlib/blas/base/dgemv/README.md‎

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- **N**: number of columns in the matrix `A`.
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- **α**: scalar constant.
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- **A**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
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- **lda**: stride of the first dimension of `A` (leading dimension of `A`).
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- **lda**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
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- **x**: input [`Float64Array`][mdn-float64array].
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- **sx**: stride length for `x`.
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- **β**: scalar constant.

‎lib/node_modules/@stdlib/blas/base/dgemv/docs/repl.txt‎

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Scalar constant.
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A: Float64Array
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Input Matrix.
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Input matrix.
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lda: integer
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Stride of the first dimension of `A` (a.k.a., leading dimension of the
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Scalar constant.
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A: Float64Array
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Input Matrix.
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Input matrix.
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sa1: integer
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Stride of the first dimension of `A`.

‎lib/node_modules/@stdlib/blas/base/dger/README.md‎

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- **y**: an `N` element [`Float64Array`][mdn-float64array].
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- **sy**: stride length for `y`.
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- **A**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
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- **lda**: stride of the first dimension of `A` (leading dimension of `A`).
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- **lda**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
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The stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to iterate over every other element in `x` and `y`,
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‎lib/node_modules/@stdlib/blas/base/dger/docs/repl.txt‎

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Stride length for `y`.
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A: Float64Array
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Input Matrix.
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Input matrix.
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lda: integer
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Stride of the first dimension of `A` (a.k.a., leading dimension of the
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Returns
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A: Float64Array
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Input matrix.
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Examples
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Starting index for `y`.
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Input matrix.
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sa1: integer
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Returns
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A: Float64Array
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Input matrix.
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Examples
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‎lib/node_modules/@stdlib/blas/base/sgemv/README.md‎

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- **N**: number of columns in the matrix `A`.
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- **α**: scalar constant.
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- **A**: input matrix stored in linear memory as a [`Float32Array`][mdn-float32array].
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- **lda**: stride of the first dimension of `A` (leading dimension of `A`).
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- **lda**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
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- **x**: input [`Float32Array`][mdn-float32array].
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- **sx**: stride length for `x`.
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- **β**: scalar constant.

‎lib/node_modules/@stdlib/blas/base/sgemv/docs/repl.txt‎

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Scalar constant.
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A: Float32Array
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Input Matrix.
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Input matrix.
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lda: integer
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Stride of the first dimension of `A` (a.k.a., leading dimension of the
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Scalar constant.
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A: Float32Array
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Input Matrix.
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Input matrix.
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sa1: integer
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Stride of the first dimension of `A`.

‎lib/node_modules/@stdlib/blas/base/sger/README.md‎

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- **y**: an `N` element [`Float32Array`][mdn-float32array].
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- **sy**: stride length for `y`.
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- **A**: input matrix stored in linear memory as a [`Float32Array`][mdn-float32array].
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- **lda**: stride of the first dimension of `A` (leading dimension of `A`).
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- **lda**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
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The stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to iterate over every other element in `x` and `y`,
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‎lib/node_modules/@stdlib/blas/base/sger/docs/repl.txt‎

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Stride length for `y`.
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A: Float32Array
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Input matrix.
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Returns
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Starting index for `y`.
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sa1: integer
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Returns
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A: Float32Array
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Input matrix.
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Examples
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