
- MODULE 12 GEOMETRIC SEQUENCES MATH SOFTWARE
- MODULE 12 GEOMETRIC SEQUENCES MATH CODE
- MODULE 12 GEOMETRIC SEQUENCES MATH LICENSE
- MODULE 12 GEOMETRIC SEQUENCES MATH FREE
See the MPL2 FAQ for more information, and do not hesitate to contact us if you have any questions.Įigen is standard C++98 and so should theoretically be compatible with any compliant compiler.
MODULE 12 GEOMETRIC SEQUENCES MATH SOFTWARE
Many proprietary and closed-source software projects are using Eigen right now, as well as many BSD-licensed projects. For example, closed-source software may use Eigen without having to disclose its own source code.
MODULE 12 GEOMETRIC SEQUENCES MATH LICENSE
Of course you have to mind the license of the so-included library when using them. Such features can be explicitly disabled by compiling with the EIGEN_MPL2_ONLY preprocessor symbol defined.įurthermore, Eigen provides interface classes for various third-party libraries (usually recognizable by the header name).
MODULE 12 GEOMETRIC SEQUENCES MATH CODE
Note that currently, a few features rely on third-party code licensed under the LGPL: constrained_cg. Common questions about the MPL2 are answered in the official MPL2 FAQ.Įarlier versions were licensed under the LGP元+. Starting from the 3.1.1 version, it is licensed under the MPL2, which is a simple weak copyleft license.
MODULE 12 GEOMETRIC SEQUENCES MATH FREE
Eigen is a pure template library defined in the headers.Įigen is Free Software. There is no binary library to link to, and no configured header file. If you just want to use Eigen, you can use the header files right away. We use the CMake build system, but only to build the documentation and unit-tests, and to automate installation.



Explicit vectorization is performed for SSE 2/3/4, AVX, AVX2, FMA, AVX512, ARM NEON (32-bit and 64-bit), PowerPC AltiVec/VSX (32-bit and 64-bit), ZVector (s390x/zEC13) SIMD instruction sets, and since 3.4 MIPS MSA with graceful fallback to non-vectorized code.Expression templates allow intelligently removing temporaries and enable lazy evaluation, when that is appropriate.Its ecosystem of unsupported modules provides many specialized features such as non-linear optimization, matrix functions, a polynomial solver, FFT, and much more.It supports various matrix decompositions and geometry features.It supports all standard numeric types, including std::complex, integers, and is easily extensible to custom numeric types.It supports all matrix sizes, from small fixed-size matrices to arbitrarily large dense matrices, and even sparse matrices.

The tenth term could be found by multiplying the first term by the common ratio nine times or by multiplying by the common ratio raised to the ninth power. The common ratio is multiplied by the first term once to find the second term, twice to find the third term, three times to find the fourth term, and so on.
