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feat: add `blas/base/dtpmv` by aman-095 · Pull Request #2827 · stdlib-js/stdlib · GitHub

feat: add blas/base/dtpmv - #2827

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feat: add blas/base/dtpmv#2827
aman-095 wants to merge 2 commits into
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aman-095:dtpmv

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Progresses: #2039.

Description

What is the purpose of this pull request?

This RFC proposes to add a routine to 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, supplied in packed form as defined in BLAS Level 2 routines. Specifically adding @stdlib/blas/base/dtpmv is proposed.

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stdlib-bot added the BLAS Issue or pull request related to Basic Linear Algebra Subprograms (BLAS). label Aug 24, 2024
ShabiShett07 marked this pull request as draft July 4, 2025 06:49

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/stdlib merge

stdlib-bot added the bot: In Progress Pull request is currently awaiting automation. label Aug 3, 2025
stdlib-bot removed the bot: In Progress Pull request is currently awaiting automation. label Aug 3, 2025

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Coverage Report

Package Statements Branches Functions Lines
blas/base/dtpmv $\color{green}457/457$
$\color{green}+100.00\%$
$\color{green}70/70$
$\color{green}+100.00\%$
$\color{green}3/3$
$\color{green}+100.00\%$
$\color{green}457/457$
$\color{green}+100.00\%$

The above coverage report was generated for the changes in this PR.

kgryte self-requested a review August 7, 2025 18:33
stdlib-bot added the Needs Review A pull request which needs code review. label Aug 7, 2025
* dtpmv.ndarray( 'row-major', 'upper', 'no-transpose', 'non-unit', 3, AP, 1, 0, x, 1, 0 );
* // x => <Float64Array>[ 14.0, 8.0, 3.0 ]
*/
ndarray( uplo: MatrixTriangle, trans: TransposeOperation, diag: DiagonalType, N: number, AP: Float64Array, strideAP: number, offsetAP: number, x: Float64Array, strideX: number, offsetX: number ): Float64Array;

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

The ndarray type definition is missing the order: Layout parameter as the first argument.

ndarray( order: Layout, uplo: MatrixTriangle, trans: TransposeOperation, diag: DiagonalType, N: number, AP: Float64Array, strideAP: number, offsetAP: number, x: Float64Array, strideX: number, offsetX: number ): Float64Array;

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