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Shabareesh ShettyShabareesh Shetty
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chore: update repl.txt
--- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: na - task: lint_repl_help status: passed - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed ---
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lib/node_modules/@stdlib/blas/base/dsyrk/docs/repl.txt

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{{alias}}( ord, uplo, trans, N, K, α, A, lda, β, C, ldc )
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Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or
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`C = α*A**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N`
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{{alias}}( order, uplo, trans, N, K, α, A, lda, β, C, ldc )
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Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or
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`C = α*A^T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N`
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symmetric matrix and `A` is an `N` by `K` matrix in the first case and a
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`K` by `N` matrix in the second case.
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Parameters
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----------
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ord: string
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order: string
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Row-major (C-style) or column-major (Fortran-style) order.
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uplo: string
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// Standard usage:
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> var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
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> var C = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 4.0 ] );
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> var ord = 'row-major';
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> var order = 'row-major';
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> var uplo = 'upper';
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> var trans = 'no-transpose';
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> {{alias}}( ord, uplo, trans, 2, 2, 1.0, A, 2, 1.0, C, 2 )
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> {{alias}}( order, uplo, trans, 2, 2, 1.0, A, 2, 1.0, C, 2 )
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<Float64Array>[ 6.0, 13.0, 0.0, 29.0 ]
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{{alias}}.ndarray( uplo, trans, N, K, α, A, sa1, sa2, oa, β, C, sc1, sc2, oc )
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Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or
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`C = α*A**T*A + β*C`, using alternative indexing semantics and where `α`
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Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or
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`C = α*A^T*A + β*C`, using alternative indexing semantics and where `α`
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and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an
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`N` by `K` matrix in the first case and a `K` by `N` matrix in the second
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case.

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