C++ 的 numpy 替代品：线性代数/FFT/数字好东西？
我已经使用 python + numpy 一段时间了，并且熟悉（并着迷）它。现在，我需要使用 C++ 进行一些计算，并且正在寻找一个不错的库来快速、轻松地完成数值计算 (TM :P)。我环顾四周，发现了几个选项：
- GSL
- Eigen
- NT2
- Boost uBlast
由于理解和使用新库是一项相当大的努力，我想知道 SO 人员是否可以对此发表评论。现在我需要基本的 FFT 和 SVD 分解，但是像数组切片、函数矢量化之类的好东西将非常感激。
您对此有何想法？
I've been using python + numpy for a while, and got familiarized (and charmed) with it. Now, I need to do some calculations using C++, and was looking for a nice library to do numerical stuff fast and easy (TM :P). I've been looking around and I found several options:
- GSL
- Eigen
- NT2
- Boost uBlast
As understanding and getting use to a new library is quite an effort, I was wondering if the SO folks could give comments on this. Right now I would need basic FFT and SVD decomposition, but goodies like slicing of arrays, vectorization of functions and the like would be much appreciated.
What are your thoughts in this aspect?
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