Rcpp_block_matrix_vector_substract

C++ Function Reference

1 Signature

Eigen::MatrixXd BigDataStatMeth::Rcpp_block_matrix_vector_substract(T A, T B, hsize_t block_size, bool bparal, Rcpp::Nullable< int > threads=R_NilValue)

2 Description

Low-level block-based matrix-vector subtraction.

3 Parameters

A (T): Input matrix
B (T): Input vector (subtracted from A)
block_size (hsize_t): Size of blocks for computation
bparal (bool): Whether to use parallel processing
threads (Rcpp::Nullable< int >): Number of threads for parallel computation

4 Returns

Result of matrix-vector subtraction

5 Details

Internal implementation of block-based matrix-vector subtraction with configurable block size and parallel processing.

6 Usage Example

#include "BigDataStatMeth.hpp"

// Example usage
auto result = Rcpp_block_matrix_vector_substract(...);

---
title: "Rcpp_block_matrix_vector_substract"
subtitle: "C++ Function Reference"
---

## Signature

```cpp
Eigen::MatrixXd BigDataStatMeth::Rcpp_block_matrix_vector_substract(T A, T B, hsize_t block_size, bool bparal, Rcpp::Nullable< int > threads=R_NilValue)
```

## Description

Low-level block-based matrix-vector subtraction.

## Parameters

- `A` (`T`): Input matrix
- `B` (`T`): Input vector (subtracted from A)
- `block_size` (`hsize_t`): Size of blocks for computation
- `bparal` (`bool`): Whether to use parallel processing
- `threads` (`Rcpp::Nullable< int >`): Number of threads for parallel computation

## Returns

Result of matrix-vector subtraction

## Details

Internal implementation of block-based matrix-vector subtraction with configurable block size and parallel processing.

## Usage Example

```cpp
#include "BigDataStatMeth.hpp"

// Example usage
auto result = Rcpp_block_matrix_vector_substract(...);
```