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

# sparse_insert_entries_float(_:_:_:_:_:)

Inserts a list of scalar entries into a single-precision sparse matrix.

## Declaration

```swift
func sparse_insert_entries_float(_ A: sparse_matrix_float!, _ N: sparse_dimension, _ val: UnsafePointer<Float>!, _ indx: UnsafePointer<sparse_index>!, _ jndx: UnsafePointer<sparse_index>!) -> sparse_status
```

## Parameters

- `A`: The sparse matrix, A, which must have been created with doc://com.apple.accelerate/documentation/Accelerate/sparse_matrix_create_float(_:_:). doc://com.apple.accelerate/documentation/Accelerate/SPARSE_ILLEGAL_PARAMETER is returned if not met.
- `N`: The number of values to insert into A. Each of indx, jndx and val are of size N.
- `val`: Pointer to list of scalar values to insert into A. The value is inserted into the location specified by the corresponding indices in indx and jndx. Must hold N values.
- `indx`: An array of row indices that correspond to the values in val. Must hold N values.
- `jndx`: An array of column indices that correspond to the values in val. Must hold N values.

## Discussion

Discussion Use to build a sparse matrix by providing a list of point entries. For each entry provided, update A[indx[i],jndx[i]] = val[i]. Note that matrix properties cannot be modified after value insertion begins. This includes properties such as specifying a triangular matrix. Insertion can be expensive, generally speaking it is best to do a batch update. Inserted values may be temporarily held internally within the object and only inserted into the sparse format when a later computation triggers a need to insert. Indices in indx and jndx an are assumed to be unique. Additionally, indices are assumed to be in the bounds of the matrix. Undefined behavior if any of these assumptions are not met.All indices are 0 based (the first element of a pointer is ptr[0]). 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_matrix_create_float(_:_:)](accelerate/sparse_matrix_create_float(_:_:).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_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)