Merge branch 'activations' of https://github.com/jalvesz/stdlib into …

…activations

.github/workflows/CI.yml

@@ -19,7 +19,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest, macos-12]
+        os: [ubuntu-latest, macos-13]
         toolchain:
           - {compiler: gcc, version: 10}
           - {compiler: gcc, version: 11}
@@ -34,9 +34,11 @@ jobs:
             toolchain:
               - {compiler: gcc, version: 10}
         exclude:
-          - os: macos-12
+          - os: macos-13
+            toolchain: {compiler: intel-classic, version: '2021.9'}
+          - os: macos-13
             toolchain: {compiler: intel, version: '2024.1'}
-          - os: macos-12
+          - os: macos-13
             toolchain: {compiler: gcc, version: 13}
     env:
       BUILD_DIR: ${{ matrix.build == 'cmake' && 'build' || '.' }}

README.md

@@ -219,7 +219,29 @@ python config/fypp_deployment.py --help
 git checkout stdlib-fpm
 fpm build --profile release
 ```
-#### Runing the examples
+
+
+#### Installing with fpm
+
+Either option you chose for building the `stdlib`, you can install it with:
+```sh
+fpm install --profile release
+```
+The command above will install the following files:
+- `libstdlib.a` into `~/.local/lib/` (Unix) or `C:\Users\<username>\AppData\Roaming\local\lib\` (Windows)
+- all the `.[s]mod` files produced by the compiler into `~/.local/include/` (Unix) or `C:\Users\<username>\AppData\Roaming\local\include\` (Windows)
+
+You can change the installation path by setting the prefix option to `fpm`:
+```sh
+fpm install --profile release --prefix /my/custom/installation/path/
+```
+
+You can use the `stdlib` by adding the `-lstdlib` flag to your compiler.
+If your prefix is a non standard path, add also:
+- `-L/my/custom/installation/path/lib`
+- `-I/my/custom/installation/path/include`
+
+#### Running the examples
 You can run the examples with `fpm` as:
 
 ```sh

doc/specs/stdlib_ascii.md

@@ -38,7 +38,7 @@ Converts input character variable to all lowercase.
 
 #### Class
 
-Pure function.
+Elemental function.
 
 #### Argument
 
@@ -70,7 +70,7 @@ Converts input character variable to all uppercase.
 
 #### Class
 
-Pure function.
+Elemental function.
 
 #### Argument
 
@@ -107,7 +107,7 @@ or numeral present next to either of its 2 ends.
 
 #### Class
 
-Pure function.
+Elemental function.
 
 #### Argument
 
@@ -142,7 +142,7 @@ transformed to lowercase.
 
 #### Class
 
-Pure function.
+Elemental function.
 
 #### Argument
 
@@ -174,7 +174,7 @@ Reverses the order of all characters in the input character type.
 
 #### Class
 
-Pure function.
+Elemental function.
 
 #### Argument
 

doc/specs/stdlib_linalg.md

@@ -1565,4 +1565,53 @@ If `err` is not present, exceptions trigger an `error stop`.
 {!example/linalg/example_norm.f90!}
 ```
 
+## `mnorm` - Computes the matrix norm of a generic-rank array.
+
+### Status
+
+Experimental
+
+### Description
+
+This function computes one of several matrix norms of `real` or `complex` array \( A \), depending on 
+the value of the `order` input argument. \( A \) must be an array of rank 2 or higher. For arrays of rank > 2,
+matrix norms are computed over specified dimensions.
+
+### Syntax
+
+`x = ` [[stdlib_linalg(module):mnorm(interface)]] `(a [, order, dim, err])`
+
+### Arguments
+
+`a`: Shall be a rank-n `real` or `complex` array containing the data, where n >= 2. It is an `intent(in)` argument.
+
+`order` (optional): Shall be an `integer` value or a `character` flag that specifies the norm type, as follows. It is an `intent(in)` argument. 
+
+| Integer input    | Character Input                 | Norm type                                                                   |
+|------------------|---------------------------------|-----------------------------------------------------------------------------|
+| `1`              | `'1'`                           | 1-norm (maximum column sum) \( \max_j \sum_i{ \left|a_{i,j}\right| } \)     |
+| `2`              | `'2'`                           | 2-norm (largest singular value)                                             |
+| (not prov.)      | `'Euclidean','Frobenius','Fro'` | Frobenius norm \( \sqrt{\sum_{i,j}{ \left|a_{i,j}\right|^2 }} \)            |
+| `huge(0)`        | `'inf', 'Inf', 'INF'`           | Infinity norm (maximum row sum) \( \max_i \sum_j{ \left|a_{i,j}\right| } \) |
+
+`dim` (optional): For arrays of rank > 2, shall be an integer array of size 2 specifying the dimensions over which to compute the matrix norm. Default value is `[1,2]`. It is an `intent(in)` argument.
+
+`err` (optional): Shall be a `type(linalg_state_type)` value. This is an `intent(out)` argument. 
+
+### Return value
+
+For rank-2 input arrays, the return value `x` is a scalar containing the matrix norm.
+For arrays of rank > 2, if the optional `dim` argument is present, `x` is a rank `n-2` array with the same shape as \( A \) except 
+for dimensions `dim(1)` and `dim(2)`, which are dropped. Each element of `x` contains the matrix norm of the corresponding submatrix of \( A \),
+evaluated over the specified dimensions only, with the given order.
+
+If an invalid norm type is provided, defaults to 1-norm and raises `LINALG_ERROR`.
+Raises `LINALG_VALUE_ERROR` if any of the arguments has an invalid size.
+If `err` is not present, exceptions trigger an `error stop`.
+
+### Example
+
+```fortran
+{!example/linalg/example_mnorm.f90!}
+```