feat: add c implementation for blas/base/dtrmv

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Author: ShabiShett07

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

@@ -86,6 +86,8 @@ dtrmv( 'row-major', 'upper', 'no-transpose', 'unit', 3, A, 3, x1, 1 );
 // x0 => <Float64Array>[ 1.0, 6.0, 3.0, 1.0 ]
 ```
 
+<!-- lint disable maximum-heading-length -->
+
 #### dtrmv.ndarray( uplo, trans, diag, N, A, sa1, sa2, oa, x, sx, ox )
 
 Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, using alternative indexing semantics and where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
@@ -163,44 +165,74 @@ console.log( x );
 
 <!-- /.examples -->
 
-<!-- C interface documentation. -->
+<!-- C usage documentation. -->
 
-* * *
+<section class="usage">
 
-<section class="c">
+### Usage
 
-## C APIs
+```c
+#include "stdlib/blas/base/dtrmv.h"
+```
 
-<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+#### c_dtrmv( order, uplo, trans, diag, N, \*A, LDA, \*X, strideX )
 
-<section class="intro">
+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.
 
-</section>
+```c
+#include "stdlib/blas/base/shared.h"
 
-<!-- /.intro -->
+double A[] = { 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 };
+const double x[] = { 1.0, 2.0, 3.0 };
 
-<!-- C usage documentation. -->
+c_dtrmv( CblasRowMajor, CblasUpper, CblasNoTrans, CblasUnit, 3, A, 3, x, 1 );
+```
 
-<section class="usage">
+The function accepts the following arguments:
 
-### Usage
+-   **order**: `[in] CBLAS_LAYOUT` storage layout.
+-   **uplo**: `[in] CBLAS_UPLO` specifies whether `A` is an upper or lower triangular matrix.
+-   **trans**: `[in] CBLAS_TRANSPOSE` specifies whether `A` should be transposed, conjugate-transposed, or not transposed.
+-   **diag**: `[in] CBLAS_DIAG` specifies whether `A` has a unit diagonal.
+-   **N**: `[in] CBLAS_INT` number of elements along each dimension of `A`.
+-   **A**: `[inout] double*` input matrix.
+-   **LDA**: `[in] CBLAS_INT` stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+-   **X**: `[in] double*` input vector.
+-   **strideX**: `[in] CBLAS_INT` index increment for `X`.
 
 ```c
-TODO
+void c_dtrmv( const CBLAS_LAYOUT order, const CBLAS_UPLO uplo, const CBLAS_TRANSPOSE trans, const CBLAS_DIAG diag, const CBLAS_INT N, const double *A, const CBLAS_INT LDA, double *x, const CBLAS_INT strideX )
 ```
 
-#### TODO
+#### c_dtrmv_ndarray( uplo, trans, diag, N, \*A, strideA1, strideA2, offsetA, \*X, strideX, offsetA )
 
-TODO.
+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.
 
 ```c
-TODO
+#include "stdlib/blas/base/shared.h"
+
+double A[] = { 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 };
+const double x[] = { 1.0, 2.0, 3.0 };
+
+c_dtrmv_ndarray( CblasUpper, CblasNoTrans, CblasUnit, 3, A, 3, 1, 0, x, 1, 0 );
 ```
 
-TODO
+The function accepts the following arguments:
+
+-   **uplo**: `[in] CBLAS_UPLO` specifies whether `A` is an upper or lower triangular matrix.
+-   **trans**: `[in] CBLAS_TRANSPOSE` specifies whether `A` should be transposed, conjugate-transposed, or not transposed.
+-   **diag**: `[in] CBLAS_DIAG` specifies whether `A` has a unit diagonal.
+-   **N**: `[in] CBLAS_INT` number of elements along each dimension of `A`.
+-   **A**: `[inout] double*` input matrix.
+-   **strideA1**: `[in] CBLAS_INT` stride of the first dimension of `A`.
+-   **strideA2**: `[in] CBLAS_INT` stride of the second dimension of `A`.
+-   **offsetA**: `[in] CBLAS_INT` starting index for `A`.
+-   **X**: `[in] double*` input vector.
+-   **strideX**: `[in] CBLAS_INT` index increment for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
 
 ```c
-TODO
+void c_dtrmv_ndarray( const CBLAS_UPLO uplo, const CBLAS_TRANSPOSE trans, const CBLAS_DIAG diag, const CBLAS_INT N, const double *A, const CBLAS_INT strideA1, const CBLAS_INT strideA2, const CBLAS_INT offsetA, double *x, const CBLAS_INT strideX, const CBLAS_INT offsetX )
 ```
 
 </section>
@@ -222,7 +254,34 @@ TODO
 ### Examples
 
 ```c
-TODO
+#include "stdlib/blas/base/dtrmv.h"
+#include "stdlib/blas/base/shared.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create a strided array:
+    const double A[] = { 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 };
+    double x[] = { 1.0, 2.0, 3.0 };
+
+    // Specify the number of elements along each dimension of `A`:
+    const int N = 3;
+
+    // Perform the matrix-vector operations `y = α*A*x + β*y`:
+    c_dtrmv( CblasRowMajor, CblasUpper, CblasNoTrans, CblasUnit, N, A, N, x, 1 );
+
+    // Print the result:
+    for ( int i = 0; i < N; i++ ) {
+        printf( "x[ %i ] = %lf\n", i, x[ i ] );
+    }
+
+    // Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`:
+    c_dtrmv_ndarray( CblasUpper, CblasNoTrans, CblasUnit, 3, A, 3, 1, 0, x, 1, 0 );
+
+    // Print the result:
+    for ( int i = 0; i < N; i++ ) {
+        printf( "x[ %i ] = %lf\n", i, x[ i ] );
+    }
+}
 ```
 
 </section>

lib/node_modules/@stdlib/blas/base/dtrmv/benchmark/benchmark.native.js

@@ -0,0 +1,103 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var ones = require( '@stdlib/array/ones' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var dgemv = tryRequire( resolve( __dirname, './../lib/dgemv.native.js' ) );
+var opts = {
+	'skip': ( dgemv instanceof Error )
+};
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = ones( len, options.dtype );
+	var A = ones( len*len, options.dtype );
+	return benchmark;
+
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = dgemv( 'row-major', 'upper', 'transpose', 'non-unit', len, A, len, x, 1 );
+			if ( isnan( z ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var len;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+		f = createBenchmark( len );
+		bench( pkg+':size='+(len*len), opts, f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/blas/base/dtrmv/benchmark/benchmark.ndarray.native.js

@@ -0,0 +1,103 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var ones = require( '@stdlib/array/ones' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var dgemv = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+	'skip': ( dgemv instanceof Error )
+};
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = ones( len, options.dtype );
+	var A = ones( len*len, options.dtype );
+	return benchmark;
+
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = dgemv( 'upper', 'transpose', 'non-unit', len, A, len, 1, 0, x, 1, 0 );
+			if ( isnan( z ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var len;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+		f = createBenchmark( len );
+		bench( pkg+':size='+(len*len), opts, f );
+	}
+}
+
+main();