#include "MatlabEngine.hpp" void sparseArray() {using namespace matlab::engine;//连接到命名的共享MATLAB会话启动为:// MATLAB -r " MATLAB .engine. shareengine ('myMatlabEngine')"字符串会话(u“myMatlabEngine”);std::unique_ptr matlabPtr = connectMATLAB(session);//定义稀疏数组std::vector data = {3.5, 12.98, 21.76};Std::vector rows = {0,0,1};Std::vector cols = {0,4,8};Size_t NNZ = 3;//为数据创建缓冲区matlab::data::ArrayFactory factory;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); }