| 1. | General gradient projection method of interior points for linear coustrained optimization
一个求解线性不等式约束的非线性规划的广义梯度投影内点算法 |
| 2. | Three - term memory gradient rosen and solodov projection method for nonlinear programming with linear or nonlinear inequality constraints
解带线性或非线性约束最优化问题的混合三项记忆梯度投影算法 |
| 3. | Referring to kinematic control of redundant manipulators , extended - jacobian scheme and gradient - projection method of optimization scheme was mainly discussed
关于冗余机器人运动控制,本文着重讨论了扩展雅克比方案和优化方案中的梯度投影法。 |
| 4. | 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。 |
| 5. | Chapter 2 , using the technique of ( e , d ) generalized gradient projection and the idea of strongly subfeasible directions , several new algorithms for systems of nonlinear inequations are presented
第二章，利用( ， )广义梯度投影技术和强次可行方向法思想，建立了非线性不等式组的广义梯度投影算法。 |
| 6. | In chapter 2 . we give a class of new algorithms for nonlinear programming problems with linear constrained by combining the gradient projection method with non - quasi - newton method which was given in paper [ 2 ] . it ' s global convergence and the superlinear convergence are proved under suitable conditions
在第二章中我们将梯度投影与文[ 2 ]中的非拟牛顿法相结合，给出了求解线性约束非线性优化问题的一类梯度投影非拟牛顿算法。 |
| 7. | According to the geometry model constructed in this paper , kinematics analysis , inverse kinematics with its optimization , analysis and calculation of dynamics are introduced . the resolution of matrix reverse transformation and gradient projection based on fake reverse matrix are used in the computation
建立了该手腕的几何模型,针对该模型展开了运动学分析、逆运动学解的计算,计算使用了矩阵逆变换的解析法和基于伪逆阵的梯度投影法两种方法。 |
| 8. | 2 both least mean - square ( lms ) and least - square ( ls ) blind space - time receivers methods based on the rosen ' s gradient projection are presented for space - time receiver that merge with the idea of smart antenna , and combined with the different data - selected schemes . the effect of these schemes on the computational complexity of two detection methods is analyzed . the simulations illustrate that those methods are effective
2 、针对将智能天线的思想融入其中的空时接收机，提出了基于rosen梯度投影实现的最小均方( lms )与最小二乘盲空时接收机算法并将提出的不同数据方案结合起来，分析了提出的方案对每次迭代运算的运算量的影响，通过仿真实验验证了方法的有效性。 |
| 9. | 3 a novel recursive least - square ( rls ) blind space - time receiver algorithm based on the constrained condition , which can completely avoid the matrix inversion introduced into by constraints ( comparing with the normal rls ) , is proposed for multi - path slow fading cdma channels . the computational complexity of this method is not only lower than that of the normal rls , but also lower than that of both lms and ls blind space - time receiver methods that are realized based on the rosen ' s gradient projection . and the speed of convergence of the presented rls blind space - time receiver algorithm is better than that of both lms and ls blind space - time receiver methods
3 、针对多径慢衰落信道下ds - cdma盲空时接收机中线性约束二次规划问题提出一种新的递归最小二乘算法，该算法完全避免因约束而引进的矩阵求逆运算(相对于常规的递归最小二乘算法) ，不但运算量比常规的要低，而且比基于rosen梯度投影实现的最小均方( lms )与最小二乘盲空时接收机算法还低，且收敛速度比基于rosen梯度投影实现的最小均方( lms )与最小二乘盲空时多用户检测都好，将提出的新的递归最小二乘算法与提出的数据选择方案结合起来可以进一步降低其运算量，具有很大的实用价值，最后通过仿真实验进一步分析了其性能。 |
| 10. | Some important algorithms for nonlinear optimization problems are studied in this dissertation . the aim of this dissertation is to give some theoretical analysis . chapter 1 is the introduction of this dissertation , which introduces the variational inequality problem and the complementarity problem , the context of this dissertation and the main results obtained in this dissertation
本文主要是对非线性最优化问题中的若干重要算法的理论分析作了探讨，包括约束最优化问题中的梯度投影方法以及求解变分不等式和互补问题的几类算法，主要是集中在这几种算法的收敛性分析上。 |
