---
title: "sparse_matrix_create_float(_:_:)"
framework: accelerate
role: symbol
role_heading: Function
path: "accelerate/sparse_matrix_create_float(_:_:)"
---

# sparse_matrix_create_float(_:_:)

Returns a single-precision sparse matrix object.

## Declaration

```swift
func sparse_matrix_create_float(_ M: sparse_dimension, _ N: sparse_dimension) -> sparse_matrix_float!
```

## Parameters

- `M`: The number of rows of the matrix. Must be greater than 0.
- `N`: The number of columns of the matrix. Must be greater than 0.

## Return Value

Return Value A matrix object that is ready for receiving entries. If an error occurs, nil is returned.

## Discussion

Discussion This function creates a sparse matrix object that is stored in point-wise format and is ready to receive values from the various insert routines.  Point-wise format means individual values are stored for a given i,j location as opposed to blocks of values.  For block support use the block create routines.  See the various insert routines for details on inserting entries into this matrix object. After you’ve finished with the matrix, it’s important that you free the memory allocated to it with sparse_matrix_destroy(_:). important: Apple provides the BLAS and LAPACK libraries under the Accelerate framework to be in line with LAPACK 3.9.1. Starting with iOS 26, iPadOS 26, macOS 26, tvOS 26, visionOS 26, and watchOS 26, the libraries are in line with LAPACK 3.12.0. These new interfaces provide additional functionality, as well as a new ILP64 interface. To use the new interfaces, define ACCELERATE_NEW_LAPACK before including the Accelerate or vecLib headers. For ILP64 interfaces, also define ACCELERATE_LAPACK_ILP64. For Swift projects, specify ACCELERATE_NEW_LAPACK=1 and ACCELERATE_LAPACK_ILP64=1 as preprocessor macros in Xcode build settings under Apple Clang - Preprocessing > Preprocessor Macros.

## See Also

### Matrix creation and population

- [sparse_matrix_create_double(_:_:)](accelerate/sparse_matrix_create_double(_:_:).md)
- [sparse_insert_entry_double(_:_:_:_:)](accelerate/sparse_insert_entry_double(_:_:_:_:).md)
- [sparse_insert_entry_float(_:_:_:_:)](accelerate/sparse_insert_entry_float(_:_:_:_:).md)
- [sparse_insert_entries_double(_:_:_:_:_:)](accelerate/sparse_insert_entries_double(_:_:_:_:_:).md)
- [sparse_insert_entries_float(_:_:_:_:_:)](accelerate/sparse_insert_entries_float(_:_:_:_:_:).md)
- [sparse_insert_col_double(_:_:_:_:_:)](accelerate/sparse_insert_col_double(_:_:_:_:_:).md)
- [sparse_insert_col_float(_:_:_:_:_:)](accelerate/sparse_insert_col_float(_:_:_:_:_:).md)
- [sparse_insert_row_double(_:_:_:_:_:)](accelerate/sparse_insert_row_double(_:_:_:_:_:).md)
- [sparse_insert_row_float(_:_:_:_:_:)](accelerate/sparse_insert_row_float(_:_:_:_:_:).md)
