---
title: vDSP_vaam
framework: Accelerate
role: symbol
role_heading: Function
platforms: [iOS 4.0+, iPadOS 4.0+, Mac Catalyst 13.1+, macOS 10.4+, visionOS 1.0+, watchOS 2.0+]
path: accelerate/vdsp_vaam
---

# vDSP_vaam

Calculates the single-precision element-wise product of the sums of two pairs of vectors, using the specified stride.

## Declaration

```occ
extern void vDSP_vaam(const float *__A, vDSP_Stride __IA, const float *__B, vDSP_Stride __IB, const float *__C, vDSP_Stride __IC, const float *__D, vDSP_Stride __ID, float *__E, vDSP_Stride __IE, vDSP_Length __N);
```

## Parameters

- `__A`: The input vector A in E = (A + B) * (C + D).
- `__IA`: The distance between the elements in the input vector A.
- `__B`: The input vector B in E = (A + B) * (C + D).
- `__IB`: The distance between the elements in the input vector B.
- `__C`: The input vector C in E = (A + B) * (C + D).
- `__IC`: The distance between the elements in the input vector C.
- `__D`: The input vector D in E = (A + B) * (C + D).
- `__ID`: The distance between the elements in the input vector D.
- `__E`: The output vector E in E = (A + B) * (C + D).
- `__IE`: The distance between the elements in the output vector E.
- `__N`: The number of elements that the function processes.

## Mentioned in

Using vDSP for vector-based arithmetic

## Discussion

Discussion This function calculates the products of the first N elements of the addition of vectors A and B and the addition of vectors C and D, as follows:  for (n = 0; n < N; ++n)     E[n] = (A[n]+B[n]) * (C[n]+D[n]);

The following code shows an example of using this function:

## See Also

### Quaternary add-add-multiply operations

- [vDSP_vaamD](accelerate/vdsp_vaamd.md)
