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feat: add ndarray/base/diagonal
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feat: add ndarray/base/diagonal
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lib/node_modules/@stdlib/ndarray/base/diagonal/README.md
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| <!-- | ||
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| @license Apache-2.0 | ||
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| Copyright (c) 2026 The Stdlib Authors. | ||
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| 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 | ||
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| http://www.apache.org/licenses/LICENSE-2.0 | ||
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| 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. | ||
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| --> | ||
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| # diagonal | ||
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| > Return a view of the diagonal of a matrix (or stack of matrices). | ||
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| <section class="intro"> | ||
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| For an `M`-by-`N` matrix `A`, the `k`-th diagonal is defined as | ||
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| <!-- <equation class="equation" label="eq:diagonal_definition" align="center" raw="D_k = \{\, A_{i,j} : j - i = k \,\}" alt="Definition of the k-th diagonal of a matrix."> --> | ||
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| ```math | ||
| D_k = \{\, A_{i,j} : j - i = k \,\} | ||
| ``` | ||
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| <!-- <div class="equation" align="center" data-raw-text="D_k = \{\, A_{i,j} : j - i = k \,\}" data-equation="eq:diagonal_definition"> | ||
| <img src="" alt="Definition of the k-th diagonal of a matrix."> | ||
| <br> | ||
| </div> --> | ||
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| <!-- </equation> --> | ||
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| where `k = 0` corresponds to the main diagonal, `k > 0` corresponds to the super-diagonals (above the main diagonal), and `k < 0` corresponds to the sub-diagonals (below the main diagonal). For example, given the matrix | ||
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| <!-- <equation class="equation" label="eq:diagonal_example" align="center" raw="A = \begin{bmatrix} a_{0,0} & a_{0,1} & a_{0,2} \\ a_{1,0} & a_{1,1} & a_{1,2} \\ a_{2,0} & a_{2,1} & a_{2,2} \end{bmatrix}" alt="Example matrix."> --> | ||
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| ```math | ||
| A = \begin{bmatrix} a_{0,0} & a_{0,1} & a_{0,2} \\ a_{1,0} & a_{1,1} & a_{1,2} \\ a_{2,0} & a_{2,1} & a_{2,2} \end{bmatrix} | ||
| ``` | ||
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| <!-- <div class="equation" align="center" data-raw-text="A = \begin{bmatrix} a_{0,0} & a_{0,1} & a_{0,2} \\ a_{1,0} & a_{1,1} & a_{1,2} \\ a_{2,0} & a_{2,1} & a_{2,2} \end{bmatrix}" data-equation="eq:diagonal_example"> | ||
| <img src="" alt="Example matrix."> | ||
| <br> | ||
| </div> --> | ||
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| <!-- </equation> --> | ||
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| the main diagonal is `[ a_{0,0}, a_{1,1}, a_{2,2} ]`, the super-diagonal `k = 1` is `[ a_{0,1}, a_{1,2} ]`, and the sub-diagonal `k = -1` is `[ a_{1,0}, a_{2,1} ]`. | ||
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| </section> | ||
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| <!-- /.intro --> | ||
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| <section class="usage"> | ||
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| ## Usage | ||
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| ```javascript | ||
| var diagonal = require( '@stdlib/ndarray/base/diagonal' ); | ||
| ``` | ||
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| #### diagonal( x, dims, k, writable ) | ||
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| Returns a view of the diagonal of a matrix (or stack of matrices) `x`. | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
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| var x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] ); | ||
| // returns <ndarray>[ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] | ||
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| var y = diagonal( x, [ 0, 1 ], 0, false ); | ||
| // returns <ndarray>[ 1.0, 5.0, 9.0 ] | ||
| ``` | ||
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| The function accepts the following arguments: | ||
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| - **x**: input ndarray. | ||
| - **dims**: dimension indices defining the plane in which to extract the diagonal. | ||
| - **k**: diagonal offset. | ||
| - **writable**: boolean indicating whether the returned ndarray should be writable. | ||
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| </section> | ||
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| <!-- /.usage --> | ||
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| <section class="notes"> | ||
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| ## Notes | ||
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| - The order of the dimension indices contained in `dims` matters. The first element specifies the row-like dimension. The second element specifies the column-like dimension. | ||
| - Each provided dimension index must reside on the interval `[-ndims, ndims-1]`. | ||
| - The diagonal offset `k` is interpreted as `column - row`. Accordingly, when `k = 0`, the function returns the main diagonal; when `k > 0`, the function returns the diagonal above the main diagonal; and when `k < 0`, the function returns the diagonal below the main diagonal. | ||
| - The returned ndarray is a **view** of the input ndarray. Accordingly, writing to the original ndarray will **mutate** the returned ndarray and vice versa. | ||
| - The `writable` parameter **only** applies to ndarray constructors supporting **read-only** instances. | ||
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| </section> | ||
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| <!-- /.notes --> | ||
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| <section class="examples"> | ||
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| ## Examples | ||
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| <!-- eslint no-undef: "error" --> | ||
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| ```javascript | ||
| var uniform = require( '@stdlib/random/uniform' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var diagonal = require( '@stdlib/ndarray/base/diagonal' ); | ||
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| // Create a stack of matrices: | ||
| var x = uniform( [ 2, 3, 3 ], -10.0, 10.0, { | ||
| 'dtype': 'float64' | ||
| }); | ||
| console.log( 'X: ', ndarray2array( x ) ); | ||
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| // Extract the main diagonals of the stack: | ||
| var y = diagonal( x, [ 1, 2 ], 0, false ); | ||
| console.log( ndarray2array( y ) ); | ||
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| // Extract the super-diagonals of the stack: | ||
| y = diagonal( x, [ 1, 2 ], 1, false ); | ||
| console.log( ndarray2array( y ) ); | ||
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| // Extract the sub-diagonals of the stack: | ||
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| y = diagonal( x, [ 1, 2 ], -1, false ); | ||
| console.log( ndarray2array( y ) ); | ||
| ``` | ||
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| </section> | ||
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| <!-- /.examples --> | ||
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| <section class="references"> | ||
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| </section> | ||
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| <!-- /.references --> | ||
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| <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> | ||
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| <section class="related"> | ||
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| </section> | ||
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| <!-- /.related --> | ||
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| <!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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| <section class="links"> | ||
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| </section> | ||
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| <!-- /.links --> | ||
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