gradient projection造句
例句与造句
- 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 - Generalized three term - memory gradient projection method for nonlinear programming with nonlinear equality and inequality constraints
求解非线性等式和不等式约束优化问题的三项记忆梯度广义投影算法 - Some convergence results of the gradient projection in method under milder conditions are obtained . finally we conclude the dissertation with some remarks in chapter 6
第六章是结论部分，主要对本论文的内容作了简单的概括和分析。 - Then based on the gradient projection method , the gradient projection direction is deduced . the gradient direction is the base for sensitivity analysis
接着，根据投影梯度法，推导出了投影梯度方向，该梯度方向是灵敏度分析的基础。 - 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。 - It's difficult to find gradient projection in a sentence. 用gradient projection造句挺难的
- 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。 - 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。 - 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。 - 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。 - Used perturbed method and making inexact generalized gradient projection with cone , perturbed generalized gradient projection method is proposed . the field of the algorithm is extended . numerical experiments show that the method is effective . secondly , using the trust region form and the pseudo - directional derivative of minimax problem , we propose the trust region form of minimax problem
对信赖域法作了进一步的研究，借助minimax问题的伪方向导数，构造出其信赖域二次模型，并结合非单调策略，给出求解minimax问题的简单易行的信赖域算法。 - In chapter 5 , the authors study the convergence properties of the gradient projection method for the constrained optimization problem . in this chapter , a new step - size rule , which avoids fulfiling the classical line search and includes choosing a constant as the step size as a special case , is presented and analyzed
第五章研究了求解约束最优化问题的梯度投影方法，在步长的选取时采用了一种新的策略，这种策略不需要进行传统的线搜索且包含步长取常数这种特例，在较弱的条件下，证明了梯度投影方法的全局收敛性。