docs: add repl.txt

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Author: aayush0325

lib/node_modules/@stdlib/lapack/base/dlange/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # dlange
 
-> Compute an `LU` factorization of a real tridiagonal matrix `A` using elimination with partial pivoting and row interchanges.
+> LAPACK routine to compute the value of the one norm, or the frobenius norm, or the infinity norm, or the element with the largest absolute value of a real matrix `A`.
 
 <section class="intro">
 
@@ -80,7 +80,7 @@ The supported norms are:
 var dlange = require( '@stdlib/lapack/base/dlange' );
 ```
 
-#### dlange( N, DL, D, DU, DU2, IPIV )
+#### dlange( norm, M, N, A, LDA, work )
 
 Computes the value of the one norm, or the frobenius norm, or the infinity norm, or the element with the largest absolute value of a real matrix `A`.
 

lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt

@@ -0,0 +1,108 @@
+
+{{alias}}( order, norm, M, N, A, LDA, work )
+    Computes the value of the one norm, or the frobenius norm, or the infinity
+    norm, or the element with the largest absolute value of a real matrix `A`.
+
+    Indexing is relative to the first index. To introduce an offset, use typed
+    array views.
+
+    Parameters
+    ----------
+    order: string
+        Row-major (C-style) or column-major (Fortran-style) order. Must be
+        either 'row-major' or 'column-major'.
+
+    norm: string
+        Specifies the type of norm to be calculated, should be one of the
+        following: `max`, `one`, `frobenius` or `infinity`.
+
+    M: integer
+        Number of rows in `A`.
+
+    N: integer
+        Number of columns in `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    LDA: integer
+        Stride of the first dimension of `A` (a.k.a., leading dimension of the
+        matrix `A`).
+
+    work: Float64Array
+        Work array used to compute the infinity norm, should have `M` indexed
+        elements if computing the infinity norm otherwise pass a dummy array.
+
+    Returns
+    -------
+    Required norm: number
+        Value of the required norm.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var work = new {{alias:@stdlib/array/float64}}( 1 );
+    > var order = 'row-major';
+    > var norm = 'max';
+    > {{alias}}( order, norm, 2, 2, A, 2, work )
+    4.0
+
+
+{{alias}}.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
+    Computes the value of the one norm, or the frobenius norm, or the infinity
+    norm, or the element with the largest absolute value of a real matrix `A`
+    using alternative indexing semantics.
+
+    While typed array views mandate a view offset based on the underlying
+    buffer, the offset parameters support indexing semantics based on starting
+    indices.
+
+    Parameters
+    ----------
+    norm: string
+        Specifies the type of norm to be calculated, should be one of the
+        following: `max`, `one`, `frobenius` or `infinity`.
+
+    M: integer
+        Number of rows in `A`.
+
+    N: integer
+        Number of columns in `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    sa1: integer
+        Stride of the first dimension of `A`.
+
+    sa2: integer
+        Stride of the second dimension of `A`.
+
+    oa: integer
+        Starting index for `A`.
+
+    work: Float64Array
+        Work array used to compute the infinity norm, should have `M` indexed
+        elements if computing the infinity norm otherwise pass a dummy array.
+
+    sw: integer
+        Stride length for `work`.
+
+    ow: integer
+        Starting index for `work`.
+
+    Returns
+    -------
+    Required norm: number
+        Value of the required norm.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var work = new {{alias:@stdlib/array/float64}}( 1 );
+    > var norm = 'max';
+    > {{alias}}.ndarray( norm, 2, 2, A, 2, 1, 0, work, 1, 0 )
+    4.0
+
+    See Also
+    --------