eigen | 易学教程

openMP---第一篇

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openMP 处理for循环 ///////////////////////////////////////////////////////////////////////////////////////////// / template <typename PointInT, typename PointOutT> void pcl::MovingLeastSquares <PointInT, PointOutT>::performProcessing (PointCloudOut & output) { // Compute the number of coefficients nr_coeff_ = (order_ + 1 ) * (order_ + 2 ) / 2 ; size_t mls_result_index = 0 ; #ifdef _OPENMP // (Maximum) number of threads const unsigned int threads = threads_ == 0 ? 1 : threads_; // Create temporaries for each thread in order to avoid synchronization typename PointCloudOut::CloudVectorType projected

PCL点云库：对点云进行变换（Using a matrix to transform a point cloud）

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点云数据可以用ASCII码的形式存储在PCD文件中（关于该格式的描述可以参考链接： The PCD (Point Cloud Data) file format ）。为了生成三维点云数据，在excel中用rand()函数生成200行0-1的小数，ABC三列分别代表空间点的xyz坐标。 # .PCD v.7 - Point Cloud Data file format VERSION .7 FIELDS x y z SIZE 4 4 4 TYPE F F F COUNT 1 1 1 WIDTH 200 HEIGHT 1 VIEWPOINT 0 0 0 1 0 0 0 POINTS 200 DATA ascii 0.88071666 0.369209703 0.062937221 0.06418104 0.579762553 0.221359779 ... ... 0.640053058 0.480279041 0.843647334 0.245554712 0.825770496 0.626442137 　　进行点云的变换主要用到的函数是pcl::transformPointCloud，函数原型为：　　void pcl::transformPointCloud(const pcl::PointCloud< PointT > & cloud_in, 　　　　　　　　　　　　　　　　　

How to multiply an Eigen Tensor by the scalar sum of another Eigen Tensor in C++?

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来源： https://stackoverflow.com/questions/52392465/how-to-multiply-an-eigen-tensor-by-the-scalar-sum-of-another-eigen-tensor-in-c

CMake find_package not working for Eigen?

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来源： https://stackoverflow.com/questions/53991812/cmake-find-package-not-working-for-eigen

CMake find_package not working for Eigen?

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来源： https://stackoverflow.com/questions/53991812/cmake-find-package-not-working-for-eigen

CMake find_package not working for Eigen?

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来源： https://stackoverflow.com/questions/53991812/cmake-find-package-not-working-for-eigen

Bad alloc exception thrown when using SVD from Eigen library

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来源： https://stackoverflow.com/questions/63270458/bad-alloc-exception-thrown-when-using-svd-from-eigen-library

Bad alloc exception thrown when using SVD from Eigen library

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来源： https://stackoverflow.com/questions/63270458/bad-alloc-exception-thrown-when-using-svd-from-eigen-library

optim c++优化库配置(windows环境，mingw)

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optim c++优化库配置(windows环境，mingw) windows环境下做科学计算常用的库是blas,lapack,openblas等，这些和矩阵运算有关，代码也是经过高度优化，下面介绍一个轻量的c++版本优化库optim在win环境下的安装使用方法，如果是linux的话可以用包管理器安装依赖，方便很多，这里就不做介绍了。预备软件: mingw 730(笔者将qt5自带的设置为系统全局gcc/g++环境),cmder/git bash(提供linux环境，方便执行),cmake(编译lapack使用)，armadillo编译安装(可以先编译安装openblas)，Eigen下载安装(其实只需要头文件即可); OpenBlas源码编译安装（https://www.openblas.net/）下载openblas源码，解压，打开cmder终端，执行： mkdir build cd build cmake -G "MinGW Makefiles" .. cmake-gui .. #使用图形化命令查看编译选项，勾选DYNAMIC_ARCH,可以生成对芯片架构进行指令优化；天天Entry：BUILD_SHARED_LIBS，生成动态链接库 cmake --build . -j 4. #新版cmake已经支持编译命令了 cmake --install . #默认安装至"C:

Eigen ConditionType array: Efficient way to broadcast instead of looping

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来源： https://stackoverflow.com/questions/63375963/eigen-conditiontype-array-efficient-way-to-broadcast-instead-of-looping