stdlib-js
diff --git a/lib/node_modules/@stdlib/blas/base/dtrmv/README.md b/lib/node_modules/@stdlib/blas/base/dtrmv/README.md
@@ -186,21 +186,67 @@ console.log( x );
 ### Usage
 
 ```c
-TODO
+#include "stdlib/blas/base/dtrmv.h"
 ```
 
-#### TODO
+#### c_dtrmv( order, uplo, trans, diag, N, \*A, LDA, \*X, sx )
 
-TODO.
+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.
+
+```c
+#include "stdlib/blas/base/shared.h"
+
+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 };
+
+c_dtrmv( CblasRowMajor, CblasUpper, CblasNoTrans, CblasUnit, 3, A, 3, x, 1 );
+```
+
+The function accepts the following arguments:
+
+-   **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**: `[in] double*` input matrix.
+-   **LDA**: `[in] CBLAS_INT` stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+-   **X**: `[inout] double*` input vector.
+-   **sx**: `[in] CBLAS_INT` stride length 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, 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, where `x` is an `N` element vector and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+
+```c
+#include "stdlib/blas/base/shared.h"
+
+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 };
+
+c_dtrmv_ndarray( CblasUpper, CblasNoTrans, CblasUnit, 3, A, 3, 1, 0, x, 1, 0 );
+```
+
+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**: `[in] 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**: `[inout] double*` input vector.
+-   **sx**: `[in] CBLAS_INT` stride length 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 +268,39 @@ TODO
 ### Examples
 
 ```c
-TODO
+#include "stdlib/blas/base/dtrmv.h"
+#include "stdlib/blas/base/shared.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Define a 3x3 triangular matrix stored in row-major order:
+    const double A[ 3*3 ] = {
+        1.0, 0.0, 0.0,
+        2.0, 1.0, 0.0,
+        3.0, 2.0, 1.0
+    };
+    // Define `x` vector:
+    double x[ 3 ] = { 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 `x = A*x`:
+    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 matrix-vector operations `x = A*x` using alternative indexing semantics:
+    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>

diff --git a/lib/node_modules/@stdlib/blas/base/dtrmv/benchmark/benchmark.native.js b/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 dtrmv = tryRequire( resolve( __dirname, './../lib/dtrmv.native.js' ) );
+var opts = {
+	'skip': ( dtrmv instanceof Error )
+};
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+	var x = ones( N, options.dtype );
+	var A = ones( N*N, options.dtype );
+	return benchmark;
+
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = dtrmv( 'row-major', 'upper', 'transpose', 'non-unit', N, A, N, 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 N;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+		f = createBenchmark( N );
+		bench( pkg+'::native:size='+(N*N), opts, f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/dtrmv/benchmark/benchmark.ndarray.native.js b/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} N - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+	var x = ones( N, options.dtype );
+	var A = ones( N*N, 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', N, A, N, 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 N;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+		f = createBenchmark( N );
+		bench( pkg+'::native:ndarray:size='+(N*N), opts, f );
+	}
+}
+
+main();