The generalized POCS algorithm introduces the statistics of the noise to the constraints of projection iteration so that the algorithm is able to eliminate the noise effectively.
该算法将噪声的统计特性引入到投影迭代的限制条件之中，使得该推广的POCS算法具有很好的去噪声能力。
Optimization problem with nonlinear inequality constraints is discussed. With the help of the generalized projection, a unified algorithm model with a series of free parameters is presented.
对非线性不等式约束最优化问题进行了讨论，借助广义投影建立求解问题的一个含系列自由参数的统一算法模型。
Based on internal algorithm, a generalized variable metric projection internal algorithm for nonlinear programming with linear constraints and the convergence proof are given.
基于内点算法的思想，利用广义投影技术构造了一求解线性约束的非线性规划问题的变尺度方向内点算法，并给出了其收敛性证明。
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