A new nonlinear optimization method called variable metric gradient projection method is presented. It is a combination of mathematical programming with optimality criterion.
本文将数学规划法与优化准则法有机地结合起来，导出了一种新的优化方法——变尺度梯度投影法。
The gradient projection method based on continuous scale factor is presented.
提出了基于连续比例因子的梯度投影算法。
The method absorbs the advantages of the gradient projection method and minimum norm method.
该方法吸收了梯度投影法和最小范数法的优点。
In this paper, the constrained optimization problem is discussed to arrive at a general perturbed gradient projection method for solution.
讨论带不等式和等式约束优化问题，提出了求解非线性规划问题的广义摄动梯度投影算法。
This paper is to study the convergence properties of the gradient projection method with trust region strategy for constrained optimization.
本文使用信赖域策略结合投影梯度算法来解约束优化问题，并给出算法及其收敛性。
The correction of the observation is obtained by the interation with gradient projection method and a simple calculation example is given to verify it.
本文以梯度投影法迭代直接求解出观测值的改正数，并在最后给出一个简单算例，以资验证。
In this paper, a new generalized gradient projection method with inexact line search is proposed for the nonlinear optimization problem with linear constraints.
本文研究了出现在系统与控制理论中的一些标准的、包含线性矩阵不等式的凸优化问题。
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。
And gradient-projection method focused on changing robotic motion from an optimizing perspective, which achieved some performance optimizations while fulfilling required tasks.
梯度投影法从优化的角度对机器人的运动进行处理，在保证机器人完成作业任务的同时，使机器人获得某些性能的优化。
And gradient-projection method focused on changing robotic motion from an optimizing perspective, which achieved some performance optimizations while fulfilling required tasks.
梯度投影法从优化的角度对机器人的运动进行处理，在保证机器人完成作业任务的同时，使机器人获得某些性能的优化。
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