我记错了,讨论软件计算速度的文章应该是Jesús Fernández-Villaverdez写的,他也是Dynare的作者之一。
结论我也记得不准确(我把matlab说低了一些,但是还是慢十倍而不是30倍),大意是
C++ and Fortran are still considerably faster than any other alternative,
Julia delivers outstanding performance.Execution speed is only between 2.64 and 2.70 times slower than the execution speed of the best C++ compiler.
Baseline Python was slow.........it runs around 44 times slower than in C++
Matlab is between 9 to 11 times slower than the best C++ executable.
R runs between 475 to 491 times slower than C++.
Julia值得关注因为它慢的不多,而且sagent的合作者也写过相关教程,,它和Matlab差不多,且免费以前我很喜欢R,但是现在看来它的速度还是太慢了
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