今天看了一篇介绍屏障法的文章，图文并茂，还有真代码一行一行解有约束的含有不等式的最优化问题。虽然标题有内点法，但是没有提内点法中的原始对偶方法。其实这两个方法都是在面对 KKT 条件的时候的思考，不过对对偶变量的处理看待角度不同，朴素的求解都是用牛顿法。如果你对普通的等式约束，KKT 条件，拉格朗日方法有了解的，这篇文章读起来就更容易了。https://towardsdatascience.com/how-to-solve-constrained-optimization-problem-the-interior-point-methods-1733095f9eb5
BY Data Science Archive
That growth environment will include rising inflation and interest rates. Those upward shifts naturally accompany healthy growth periods as the demand for resources, products and services rise. Importantly, the Federal Reserve has laid out the rationale for not interfering with that natural growth transition.It's not exactly a fad, but there is a widespread willingness to pay up for a growth story. Classic fundamental analysis takes a back seat. Even negative earnings are ignored. In fact, positive earnings seem to be a limiting measure, producing the question, "Is that all you've got?" The preference is a vision of untold riches when the exciting story plays out as expected.
That strategy is the acquisition of a value-priced company by a growth company. Using the growth company's higher-priced stock for the acquisition can produce outsized revenue and earnings growth. Even better is the use of cash, particularly in a growth period when financial aggressiveness is accepted and even positively viewed.he key public rationale behind this strategy is synergy - the 1+1=3 view. In many cases, synergy does occur and is valuable. However, in other cases, particularly as the strategy gains popularity, it doesn't. Joining two different organizations, workforces and cultures is a challenge. Simply putting two separate organizations together necessarily creates disruptions and conflicts that can undermine both operations.
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