以下翻译并不逐字翻译.
Advanced LP Solving
Despite the maturity of LP technology, some use cases require more advanced techniques. For example, a number of different LP algorithms and implementations are available, each of which has strengths and weaknesses. Furthermore, numerical instability can cause solvers to slow down or fail to solve certain models.
尽管线性规划求解器的技术已经非常成熟, 但是在一些案例中依然需要一些更为先进的技术. 例如, 在大量的不同线性规划的求解算法和其实现中, 不同的算法之间各有优劣. 此外, 数值的不稳定可能导致模型的求解非常缓慢或是无法求解.
This guide introduces the concepts and provides examples to help you get the most performance and reliability out of LP solvers.
以下将介绍相关的案列, 以充分了解各个线性求解算法的性能和可靠性