#include“matlabdataArray.hpp”#include“matlabengine.hpp”void sparsearray（）{使用命名空间matlab ::引擎;//连接到名为shared matlab会话，开始为：// matlab -r“matlab.eengine.shareengine（'mymatlabengine'）”字符串会话（U“mymatlabengine”）;std :: unique_ptr  matlabptr = connectmatlab（会话）;//定义稀疏阵列STD :: Vector  Data = {3.5,12.98,21.76}的数据。STD :: Vector  Rows = {0,0,1};STD :: Vector  cols = {0,4,8};size_t nnz = 3;//为Data Matlab :: Data :: ArrayFactory Factory创建缓冲区;buffer_ptr_t  data_p = factory.createbuffer （nnz）;buffer_ptr_t  rows_p = factory.createBuffer （nnz）; buffer_ptr_t cols_p = factory.createBuffer(nnz); // Write data into the buffers double* dataPtr = data_p.get(); size_t* rowsPtr = rows_p.get(); size_t* colsPtr = cols_p.get(); std::for_each(data.begin(), data.end(), [&](const double& e) { *(dataPtr++) = e; }); std::for_each(rows.begin(), rows.end(), [&](const size_t& e) { *(rowsPtr++) = e; }); std::for_each(cols.begin(), cols.end(), [&](const size_t& e) { *(colsPtr++) = e; }); // Use the buffers to create the sparse array matlab::data::SparseArray arr = factory.createSparseArray({ 2,9 }, nnz, std::move(data_p), std::move(rows_p), std::move(cols_p)); // Put the sparse array in the MATLAB workspace matlabPtr->setVariable(u"s", arr); }