采用拟牛顿优化方法，较好地解决了大规模参数优化问题。
The Quasi-Newton method is applied to solving the second problem, which is suitable to optimizing large number of parameters.
针对RLP算法的数值不稳定性，基于拟牛顿优化方法，提出了一种稳健的自适应FIR滤波算法。
A robust adaptive algorithm for FIR filters based on the quasi-Newton class of optimization methods is derived, which can be regarded as the improvement of RLP algorithm on the problem of stability.
结合牛顿法与子空间迭代的思想，给出了一种求解大型优化问题的方法。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
采用牛顿-欧拉方法对物料抓取机械手操作臂进行了动力学分析，为步进电机的选型和结构优化提供了理论依据。
The Newton-Euripides method is put into use in analysis the object holding manipulator dynamics and the result will provide theory evidence in step motor selecting and structure optimizing.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
为了提高支持向量机(SVM)的识别性能，提出了在常用内核的基础上构造一个组合内核函数，然后用拟牛顿算法对其超参数进行优化的方法。
To improve the performance of support vector machines (SVM), a hybrid kernel is constructed from the existing common kernels, and the hyper-parameters are optimized by using a quasi-Newton method.
本文针对设置有对称斜腹杆的钢筋混凝土框架-桁架结构，运用非线性规划方法拟牛顿乘子法，对框架-桁架结构体系中斜撑的刚度进行优化。优化结果可供工程设计参考使用。
In this paper, a nonlinear planning method, quasi Newton multiplier method, is introduced for the optimization of the bracing stiffness in braced frame structures with symmetric bracings.
约束最优化方法包括梯度法、共轭方向法、牛顿法和拟牛顿法。
Unconstrained optimization methods include gradient, conjugate direction, Newton, and quasi-Newton methods.
该算法通过两步递 归最优化方法来实现 ，并采用改进的高斯—牛顿法来确保算法的快速收敛 性。
The EML registration is achieved by two step recursive optimization. The quick convergence is assured through the improved Gauss Newton algorithm.
该算法通过两步递 归最优化方法来实现 ，并采用改进的高斯—牛顿法来确保算法的快速收敛 性。
The EML registration is achieved by two step recursive optimization. The quick convergence is assured through the improved Gauss Newton algorithm.
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