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

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> Perform the matrix-matrix operation `C = α*op(A)*op(B) + β*C` where `op(X)` is one of the `op(X) = X`, or `op(X) = X^T`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dgemv/README.md

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> Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dspmv/README.md

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> Perform the matrix-vector operation `y = α*A*x + β*y` where `α` and `β` are scalars, `x` and `y` are `N` element vectors and, `A` is an `N` by `N` symmetric matrix supplied in packed form.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dspr/README.md

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> Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dsymv/README.md

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> Perform the matrix-vector operation `y = α*A*x + β*y` where `α` and `β` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dsyr/README.md

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> Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dsyr2/README.md

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> Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dtrmv/README.md

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> Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/dtrsv/README.md

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> Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/sgemm/README.md

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> Perform the matrix-matrix operation `C = α*op(A)*op(B) + β*C` where `op(X)` is one of the `op(X) = X`, or `op(X) = X^T`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/sgemv/README.md

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> Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/sspmv/README.md

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> Perform the matrix-vector operation `y = α*A*x + β*y` where `α` and `β` are scalars, `x` and `y` are `N` element vectors and, `A` is an `N` by `N` symmetric matrix supplied in packed form.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/sspr/README.md

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> Perform the symmetric rank 1 operation `A = α*x*x^T + A`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/ssymv/README.md

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> Perform the matrix-vector operation `y = α*A*x + β*y` where `α` and `β` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/ssyr/README.md

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> Perform the symmetric rank 1 operation `A = α*x*x**T + A`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/ssyr2/README.md

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> Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`.
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## Usage
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‎lib/node_modules/@stdlib/blas/base/strmv/README.md

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> Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
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‎lib/node_modules/@stdlib/blas/base/strsv/README.md

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> Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
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## Usage
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‎lib/node_modules/@stdlib/lapack/base/dge-trans/README.md

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> Convert a matrix from row-major layout to column-major layout or vice versa.
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‎lib/node_modules/@stdlib/lapack/base/dlacpy/README.md

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> Copy all or part of a matrix `A` to another matrix `B`.
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## Usage
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‎lib/node_modules/@stdlib/lapack/base/dlamch/README.md

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> Determine double-precision floating-point machine parameters.
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## Usage
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‎lib/node_modules/@stdlib/lapack/base/dlaswp/README.md

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> Perform a series of row interchanges on an input matrix.
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## Usage
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‎lib/node_modules/@stdlib/lapack/base/dpttrf/README.md

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> Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
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‎lib/node_modules/@stdlib/lapack/base/sge-trans/README.md

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> Convert a matrix from row-major layout to column-major layout or vice versa.
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## Usage
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‎lib/node_modules/@stdlib/lapack/base/slacpy/README.md

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> Copy all or part of a matrix `A` to another matrix `B`.
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‎lib/node_modules/@stdlib/lapack/base/slaswp/README.md

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> Perform a series of row interchanges on an input matrix.
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## Usage
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‎lib/node_modules/@stdlib/lapack/base/spttrf/README.md

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> Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
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## Usage
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