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eigen    音标拼音: ['ɑɪgən]
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  • Eigen: Matrix and vector arithmetic - tuxfamily. org
    Introduction Eigen offers matrix vector arithmetic operations either through overloads of common C++ arithmetic operators such as +, -, *, or through special methods such as dot (), cross (), etc For the Matrix class (matrices and vectors), operators are only overloaded to support linear-algebraic operations For example, matrix1*matrix2 means matrix-matrix product, and vector+scalar is just
  • Eigen: Getting started
    The Eigen header files define many types, but for simple applications it may be enough to use only the MatrixXd type This represents a matrix of arbitrary size (hence the X in MatrixXd), in which every entry is a double (hence the d in MatrixXd) See the quick reference guide for an overview of the different types you can use to represent a
  • Eigen: Assertions
    The macro eigen_assert is defined to be eigen_plain_assert by default We use eigen_plain_assert instead of assert to work around a known bug for GCC <= 4 3 Basically, eigen_plain_assert isassert
  • Eigen
    Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms
  • Eigen: Extending MatrixBase (and other classes)
    In this section we will see how to add custom methods to MatrixBase Since all expressions and matrix types inherit MatrixBase, adding a method to MatrixBase make it immediately available to all expressions ! A typical use case is, for instance, to make Eigen compatible with another API
  • Eigen: PermutationMatrix lt; SizeAtCompileTime, MaxSizeAtCompileTime . . .
    List of all members | Public Member Functions PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > Class Template Reference Dense matrix and array manipulation » Reference » Core_Module
  • Eigen-unsupported: TensorConvolutionSycl. h Source File
    1 This file is part of Eigen, a lightweight C++ template library
  • Eigen: Eigen::SimplicialLDLT lt; MatrixType_, UpLo_, Ordering_ gt; Class . . .
    This class provides a LDL^T Cholesky factorizations without square root of sparse matrices that are selfadjoint and positive definite The factorization allows for solving A X = B where X and B can be either dense or sparse
  • Eigen: Eigen::Quaternion lt; Scalar_, Options_ gt; Class Template Reference
    template<typename Scalar_, int Options_> class Eigen::Quaternion< Scalar_, Options_ > The quaternion class used to represent 3D orientations and rotations
  • 1248 – Eigen default branch fails to compile on Visual Studio 2013 2015 . . .
    Bug 1248 - Eigen default branch fails to compile on Visual Studio 2013 2015 Update 3 with error C2752





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