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  • 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
  • Todo - Eigen
    The goal is to provide a seamless integration of sparse matrix on top of Eigen with both basic linear algebra features and more advanced algorithms like linear and eigen value solvers
  • Eigen: Porting from Eigen2 to Eigen3
    Up to version 3 2 Eigen provides Eigen2 support modes These are removed now, because they were barely used anymore and became hard to maintain after internal re-designs
  • IDEs - Eigen
    Here are some step-for-step procedures for using Eigen with Microsoft Visual Studio This page is written using the 2010 Express version by somebody who is not familiar with Visual Studio, so feel free to correct and improve!
  • 1515 – Matrix multiplication much slower on MSVC than on g++ clang
    The Eigen version I used is 3 3 4 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
  • Eigen: Homogeneous lt; MatrixType, _Direction gt; Class Template Reference
    #include <Eigen Geometry> Parameters MatrixType the type of the object in which we are making homogeneous
  • Eigen: Common pitfalls
    In short: do not use the auto keywords with Eigen's expressions, unless you are 100% sure about what you are doing In particular, do not use the auto keyword as a replacement for a Matrix<> type
  • 792 – SparseLU::factorize crashes with error: Assertion `index gt;= 0 . . .
    This bugzilla service is closed All entries have been migrated to https: gitlab com libeigen eigen Bug 792 - SparseLU::factorize crashes with error: "Assertion `index >= 0 index < size ()' failed "


















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