...牛顿方法 牛顿方法(Newton's method) 逻辑回归中利用Sigmoid函数g(z)和梯度上升来最大化ℓ(θ)。现在我们讨论另一个最大化ℓ(θ)的算法----牛顿方法。
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There are many ways to solve nonlinear elliptic Euler-Lagrange equation, and we emphasize to tell of combining classical Newton method and continuation method to deal with equation.
解Euler-Lagrange方程的方法有许多种,在这篇论文中我们简要介绍了几种,但是重点讲述了古典的牛顿方法和连续方法的结合来处理方程。
参考来源 - 用于TV图像复原的连续方法·2,447,543篇论文数据,部分数据来源于NoteExpress
与牛顿方法相比,拉格朗日方法要简便得多。
The Lagrange method is simpler as compared to the Newton's method.
本节所叙述的是对单个方程的牛顿方法的一般化。
The process described in this section is a generalization of Newton's method for a single equation.
这种方法不仅具有牛顿方法的快速收敛性,又具有理想的总体收敛性。
This approach has not only the rapid convergence for Newton's method, but also the desirable overall convergence.
In fact, my program crashes because I end up trying to divide by zero, a really bad thing. Hint: if you implement Newton's method, do not make your first guess zero.
我下一步都没法开始,实际上,我的程序会崩溃,因为我试着去除0了,真糟糕,提示你:如果你想用牛顿的方法,第一个猜想数别设为0。
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