问题描述
我希望学生解决作业中的二次程序，而不必安装额外的软件，例如cvxopt等.是否有仅依赖于NumPy/SciPy的python实现?
I would like students to solve a quadratic program in an assignment without them having to install extra software like cvxopt etc. Is there a python implementation available that only depends on NumPy/SciPy?
推荐答案
我遇到了一个很好的解决方案，并希望将其解决. NICTA的ELEFANT机器学习工具包中有一个LOQO的python实现( http://elefant.forge. nicta.com.au ).看一看optimization.intpointsolver.这是由Alex Smola编写的代码，我使用了相同代码的C版本，取得了巨大的成功.
I ran across a good solution and wanted to get it out there. There is a python implementation of LOQO in the ELEFANT machine learning toolkit out of NICTA (http://elefant.forge.nicta.com.au as of this posting). Have a look at optimization.intpointsolver. This was coded by Alex Smola, and I've used a C-version of the same code with great success.
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