NP中的每个问题都可以归约为可满足性问题,这是计算复杂性理论的基石。
Every problem in NP can be reduced to the satisfiability problem, which is the cornerstone of computational complexity theory.
解析:良知如规矩尺度,指导我们应对变化。
A good learning algorithm should be able to generalize from a limited set of examples to unseen data.
每个数学问题都有一个解决方案;只是需要时间和努力去找到它。