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eigen    音标拼音: ['ɑɪgən]
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  • Eigen: Getting started
    It serves as a minimal introduction to the Eigen library for people who want to start coding as soon as possible You can also read this page as the first part of the Tutorial, which explains the library in more detail; in this case you will continue with The Matrix class
  • Eigen
    Eigen is thoroughly tested through its own test suite (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite Eigen is elegant The API is extremely clean and expressive while feeling natural to C++ programmers, thanks to expression templates
  • Eigen: Eigen::PermutationMatrix lt; SizeAtCompileTime . . .
    List of all members | Public Member Functions Eigen::PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, StorageIndex_ > Class Template Reference Dense matrix and array manipulation » Reference » Core module
  • Eigen: Eigen::Quaternion lt; Scalar_, Options_ gt; Class Template Reference
    Quaternion () [2 8] template<typename Scalar_ , int Options_> Eigen::Quaternion< Scalar_, Options_ >::Quaternion ( const Scalar w, const Scalar x, const Scalar y, const Scalar z )
  • Eigen: The Matrix class - tuxfamily. org
    All Eigen matrices default to column-major storage order, but this can be changed to row-major, see Storage orders The operator[] is also overloaded for index-based access in vectors, but keep in mind that C++ doesn't allow operator[] to take more than one argument
  • Eigen-unsupported: Eigen::LevenbergMarquardt lt; FunctorType_ gt; Class . . .
    List of all members | Public Member Functions Eigen::LevenbergMarquardt< FunctorType_ > Class Template Reference Non linear optimization module
  • Eigen: Translation lt; _Scalar, _Dim gt; Class Template Reference
    operator* AffineTransformType operator* ( const EigenBase< OtherDerived > linear, const Translation< _Scalar, _Dim > t ) Returns the concatenation of a linear transformation l with the translation t The documentation for this class was generated from the following files: ForwardDeclarations h Translation h Eigen
  • Eigen: Extending MatrixBase (and other classes)
    You can extend many of the other classes used in Eigen by defining similarly named preprocessor symbols For instance, define EIGEN_ARRAYBASE_PLUGIN if you want to extend the ArrayBase class
  • Eigen-unsupported: TensorConvolutionSycl. h Source File
    TensorConvolutionSycl h 1 This file is part of Eigen, a lightweight C++ template library
  • Eigen::PardisoLLT lt; MatrixType, _UpLo gt; Class Template Reference
    class Eigen::PardisoLLT< MatrixType, _UpLo > A sparse direct Cholesky (LLT) factorization and solver based on the PARDISO library This class allows to solve for A X = B sparse linear problems via a LL^T Cholesky factorization using the Intel MKL PARDISO library The sparse matrix A must be selfajoint and positive definite





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