eigen solvewithguess represents a topic that has garnered significant attention and interest. Because Eigen handles both fixed-size and dynamic-size expressions, some conditions cannot be clearly determined at compile time. We classify them into strict assertions and permissive assertions. Some workarounds and hacks might be useful for IDEs in order to use Eigen in an optimal way. This page is meant to collect them, to help newcomers. Eigen: Rotation2D< _Scalar > Class Template Reference.
Detailed Description template<typename _Scalar> class Eigen::Rotation2D< _Scalar > Represents a rotation/orientation in a 2 dimensional space. This is defined in the Geometry module. Eigen: Porting from Eigen2 to Eigen3. In Eigen all operations are performed in a lazy fashion except the matrix products which are always evaluated into a temporary by default.
In Eigen2, lazy evaluation could be enforced by tagging a product using the .lazy () function. Eigen is thoroughly tested through its own test suite (over 500 executables), the standard BLAS test suite, and parts of the LAPACK test suite. The API is extremely clean and expressive while feeling natural to C++ programmers, thanks to expression templates. Additionally, eigen: SparseView< MatrixType > Class Template Reference.
Member Function Documentation binaryExpr () const CwiseBinaryOp<CustomBinaryOp, const SparseView< MatrixType > , const OtherDerived> binaryExpr ( const Eigen::SparseMatrixBase< OtherDerived > & other, const CustomBinaryOp & func = CustomBinaryOp () ) const Eigen: Global aligned box typedefs. Detailed Description Eigen defines several typedef shortcuts for most common aligned box types. The general patterns are the following: AlignedBoxSizeType where Size can be 1, 2, 3, 4 for fixed size boxes or X for dynamic size, and where Type can be i for integer, f for float, d for double.
Eigen: VectorwiseOp< ExpressionType, Direction > Class Template Reference. 1515 – Matrix multiplication much slower on MSVC than on g++/clang. The Eigen version I used is 3.3.4. Building on this, btw I realise the benchmark is a bit crude (and might better be done with something like Google Benchmark), but I'm getting very consistent results. Similarly, eigen: Advanced initialization.
Eigen offers a comma initializer syntax which allows the user to easily set all the coefficients of a matrix, vector or array. Simply list the coefficients, starting at the top-left corner and moving from left to right and from the top to the bottom.
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