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.
采用引进具有二阶连续可微的辅助函数，将非线性不等式组转化为非线性方程组，然后利用牛顿迭代法对非线性方程组进行求解。
In is established the equivalence between the nonlinear inequalities with nonlinear equations by using auxiliary function, a descended Newton algorithm is proposed.
采用引进具有二阶连续可微的辅助函数，将非线性不等式组转化为非线性方程组，然后利用牛顿迭代法对非线性方程组进行求解。
In is established the equivalence between the nonlinear inequalities with nonlinear equations by using auxiliary function, a descended Newton algorithm is proposed.
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