In order to attain a high-resolution image, the algorithm is based on the MAP algorithm, solving the optimization by proposed iteration steps with using the gradient projection method.
该方法基于MAP算法，通过利用梯度投影的方法对重建结果不断进行迭代优化得到最终的理想高分辨率影像。
In the process of optimization, the gradient computation of the energy function with respect to optical parameters is critical, for which, an algorithm based on the gradient tree is put forward.
优化过程中，能量函数关于光学参数的梯度计算是关键，本文提出一种基于梯度树的梯度求解方法。
The gradient optimization algorithm based on the stochastic finite element was adopted to analyze the reliability of the frame with stochastic parameters.
基于随机有限元的梯度优化算法引入拥有随机参数的框架可靠度分析。
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