通过最小化能量方案极小化代价函数，同时通过定点交替迭代策略将非线性方程进行线性化处理，快速恢复图像。
The cost functions are minimized by alternate minimization scheme. The nonlinear equations are linear by fixed-point iteration scheme.
在编程技术方面，将改进的牛顿迭代法与函数调用相结合，解决了非线性函数的输入与转移问题。
In respect of programming, the improved Newton iteration algorithm is associated with function designations, therefore input and transfer of nonlinear functions are solved.
核口袋算法的特点是用简单的迭代过程和核函数来实现非线性分类器的设计。
Its advantage is to implement a nonlinear classifier using a simply iterative procedure and kernel functions.
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