feat: add blas/ext/base/ctriu

lib/node_modules/@stdlib/blas/ext/base/ctriu/README.md

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+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 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.
+
+-->
+
+# ctriu
+
+> Copy the upper triangular part of a single-precision complex floating-point matrix `A` to another matrix `B`.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var ctriu = require( '@stdlib/blas/ext/base/ctriu' );
+```
+
+#### ctriu( order, M, N, k, A, LDA, B, LDB )
+
+Copies the upper triangular part of a single-precision complex floating-point matrix `A` to another matrix `B`.
+
+```javascript
+var Complex64Array = require( '@stdlib/array/complex64' );
+
+var A = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var B = new Complex64Array( 4 );
+
+ctriu( 'row-major', 2, 2, 0, A, 2, B, 2 );
+// B => <Complex64Array>[ 1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 7.0, 8.0 ]
+```
+
+The function has the following parameters:
+
+-   **order**: storage layout.
+-   **M**: number of rows in `A`.
+-   **N**: number of columns in `A`.
+-   **k**: diagonal below which to ignore. A value of `k = 0` refers to the main diagonal, `k < 0` refers to a diagonal below the main diagonal, and `k > 0` refers to a diagonal above the main diagonal. Accordingly, when `k < 0`, the function copies the upper triangle **and** one or more sub-diagonals (i.e., part of the lower triangle), and, when `k > 0`, the function copies only part of the upper triangle.
+-   **A**: input matrix.
+-   **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+-   **B**: output matrix.
+-   **LDB**: stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`).
+
+Setting the `k` parameter to a value other than `0` allows including and excluding sub- and super-diagonals, respectively. For example, to copy the upper triangle and the first sub-diagonal,
+
+```javascript
+var Complex64Array = require( '@stdlib/array/complex64' );
+
+var A = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var B = new Complex64Array( 4 );
+
+ctriu( 'row-major', 2, 2, -1, A, 2, B, 2 );
+// B => <Complex64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+<!-- eslint-disable stdlib/capitalized-comments, max-len -->
+
+```javascript
+var Complex64Array = require( '@stdlib/array/complex64' );
+
+// Initial arrays...
+var A0 = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+var B0 = new Complex64Array( 5 );
+
+// Create offset views...
+var A1 = new Complex64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var B1 = new Complex64Array( B0.buffer, B0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ctriu( 'row-major', 2, 2, 0, A1, 2, B1, 2 );
+// B0 => <Complex64Array>[ 0.0, 0.0, 3.0, 4.0, 5.0, 6.0, 0.0, 0.0, 9.0, 10.0 ]
+```
+
+#### ctriu.ndarray( M, N, k, A, sa1, sa2, oa, B, sb1, sb2, ob )
+
+Copies the upper triangular part of a single-precision complex floating-point matrix `A` to another matrix `B` using alternative indexing semantics.
+
+```javascript
+var Complex64Array = require( '@stdlib/array/complex64' );
+
+var A = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var B = new Complex64Array( 4 );
+
+ctriu.ndarray( 2, 2, 0, A, 2, 1, 0, B, 2, 1, 0 );
+// B => <Complex64Array>[ 1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 7.0, 8.0 ]
+```
+
+The function has the following parameters:
+
+-   **M**: number of rows in `A`.
+-   **N**: number of columns in `A`.
+-   **k**: diagonal below which to ignore.
+-   **A**: input matrix.
+-   **sa1**: stride of the first dimension of `A`.
+-   **sa2**: stride of the second dimension of `A`.
+-   **oa**: starting index for `A`.
+-   **B**: output matrix.
+-   **sb1**: stride of the first dimension of `B`.
+-   **sb2**: stride of the second dimension of `B`.
+-   **ob**: starting index for `B`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Complex64Array = require( '@stdlib/array/complex64' );
+
+var A = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var B = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+
+ctriu.ndarray( 2, 2, 0, A, 2, 1, 0, B, 2, 1, 2 );
+// B => <Complex64Array>[ 0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 7.0, 8.0 ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   Elements outside of the copied region are left unchanged.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var uniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex64Array = require( '@stdlib/array/complex64' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ctriu = require( '@stdlib/blas/ext/base/ctriu' );
+
+var shape = [ 5, 8 ];
+var order = 'row-major';
+var strides = shape2strides( shape, order );
+
+var N = numel( shape );
+
+var opts = {
+    'dtype': 'float32'
+};
+var A = new Complex64Array( uniform( N*2, -10, 10, opts ) );
+console.log( ndarray2array( A, shape, strides, 0, order ) );
+
+var B = new Complex64Array( uniform( N*2, -10, 10, opts ) );
+console.log( ndarray2array( B, shape, strides, 0, order ) );
+
+ctriu( order, shape[ 0 ], shape[ 1 ], 0, A, strides[ 0 ], B, strides[ 0 ] );
+console.log( ndarray2array( B, shape, strides, 0, order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/blas/ext/base/ctriu.h"
+```
+
+#### stdlib_strided_ctriu( layout, M, N, k, \*A, LDA, \*B, LDB )
+
+Copies the upper triangular part of a single-precision complex floating-point matrix `A` to another matrix `B`.
+
+```c
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/complex/float32/ctor.h"
+
+const float A[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+float B[] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f };
+
+stdlib_strided_ctriu( CblasRowMajor, 2, 2, 0, (stdlib_complex64_t *)A, 2, (stdlib_complex64_t *)B, 2 );
+```
+
+The function accepts the following arguments:
+
+-   **layout**: `[in] CBLAS_LAYOUT` storage layout.
+-   **M**: `[in] CBLAS_INT` number of rows in `A`.
+-   **N**: `[in] CBLAS_INT` number of columns in `A`.
+-   **k**: `[in] CBLAS_INT` diagonal below which to ignore.
+-   **A**: `[in] stdlib_complex64_t*` input matrix.
+-   **LDA**: `[in] CBLAS_INT` stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+-   **B**: `[out] stdlib_complex64_t*` output matrix.
+-   **LDB**: `[in] CBLAS_INT` stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`).
+
+```c
+void API_SUFFIX(stdlib_strided_ctriu)( const CBLAS_LAYOUT layout, const CBLAS_INT M, const CBLAS_INT N, const CBLAS_INT k, const stdlib_complex64_t *A, const CBLAS_INT LDA, stdlib_complex64_t *B, const CBLAS_INT LDB );
+```
+
+#### stdlib_strided_ctriu_ndarray( M, N, k, \*A, sa1, sa2, oa, \*B, sb1, sb2, ob )
+
+Copies the upper triangular part of a single-precision complex floating-point matrix `A` to another matrix `B` using alternative indexing semantics.
+
+```c
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/complex/float32/ctor.h"
+
+const float A[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+float B[] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f };
+
+stdlib_strided_ctriu_ndarray( 2, 2, 0, (stdlib_complex64_t *)A, 2, 1, 0, (stdlib_complex64_t *)B, 2, 1, 0 );
+```
+
+The function accepts the following arguments:
+
+-   **M**: `[in] CBLAS_INT` number of rows in `A`.
+-   **N**: `[in] CBLAS_INT` number of columns in `A`.
+-   **k**: `[in] CBLAS_INT` diagonal below which to ignore.
+-   **A**: `[in] stdlib_complex64_t*` input matrix.
+-   **sa1**: `[in] CBLAS_INT` stride of the first dimension of `A`.
+-   **sa2**: `[in] CBLAS_INT` stride of the second dimension of `A`.
+-   **oa**: `[in] CBLAS_INT` starting index for `A`.
+-   **B**: `[out] stdlib_complex64_t*` output matrix.
+-   **sb1**: `[in] CBLAS_INT` stride of the first dimension of `B`.
+-   **sb2**: `[in] CBLAS_INT` stride of the second dimension of `B`.
+-   **ob**: `[in] CBLAS_INT` starting index for `B`.
+
+```c
+void API_SUFFIX(stdlib_strided_ctriu_ndarray)( const CBLAS_INT M, const CBLAS_INT N, const CBLAS_INT k, const stdlib_complex64_t *A, const CBLAS_INT strideA1, const CBLAS_INT strideA2, const CBLAS_INT offsetA, stdlib_complex64_t *B, const CBLAS_INT strideB1, const CBLAS_INT strideB2, const CBLAS_INT offsetB );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/blas/ext/base/ctriu.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/complex/float32/ctor.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Define a 3x3 input matrix stored in row-major order:
+    const float A[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f };
+
+    // Define a 3x3 output matrix:
+    float B[] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f };
+
+    // Specify the number of elements along each dimension of `A`:
+    const CBLAS_INT M = 3;
+    const CBLAS_INT N = 3;
+
+    // Copy the upper triangular part of `A` to `B`:
+    stdlib_strided_ctriu( CblasRowMajor, M, N, 0, (stdlib_complex64_t *)A, N, (stdlib_complex64_t *)B, N );
+
+    // Print the result:
+    for ( int i = 0; i < M; i++ ) {
+        for ( int j = 0; j < N; j++ ) {
+            int idx = ( (i*N) + j ) * 2;
+            printf( "B[ %i,%i ] = %f + %fi\n", i, j, B[ idx ], B[ idx+1 ] );
+        }
+    }
+
+    // Copy the upper triangular part of `A`, including the first sub-diagonal, to `B` using alternative indexing semantics:
+    stdlib_strided_ctriu_ndarray( M, N, -1, (stdlib_complex64_t *)A, N, 1, 0, (stdlib_complex64_t *)B, N, 1, 0 );
+
+    // Print the result:
+    for ( int i = 0; i < M; i++ ) {
+        for ( int j = 0; j < N; j++ ) {
+            int idx = ( (i*N) + j ) * 2;
+            printf( "B[ %i,%i ] = %f + %fi\n", i, j, B[ idx ], B[ idx+1 ] );
+        }
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+</section>
+
+<!-- /.links -->