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1)  Tikhonov regularization method with constrations
带约束的Tikhonov正则化方法
2)  modified TIKHONOV regularization method
修正的TIKHONOV正则化方法
1.
In order to improve the success rate and search efficiency, the paper suggests applying modified TIKHONOV regularization method to reduce ill-condition of normal matrix which is formed by single epoch observations to get more reliable and nearer real solution.
为了提高模糊度解算的效率和成功率,针对单历元组成的法方程存在严重病态的情况,提出应用修正的TIKHONOV正则化方法降低了法方程的病态性,使实数解接近于整数真实值,并使生成的权逆阵的结构得到明显的改善,而后利用模糊度实数解和权逆阵组成模糊度搜索准则,应用遗传算法进行模糊度搜索。
3)  Tikhonov regularization method
Tikhonov正则化方法
1.
Aiming at mathematical-physical problems,the improved GA and Tikhonov regularization methods were used to simulate and identify the operator of the function.
以数学物理方程为研究对象,采用改进的遗传算法与Tikhonov正则化方法,对方程的算子进行模拟与识别,分别用余弦函数与帽子函数对其进行拟合。
2.
The authors use Tikhonov regularization method to solve it.
对该不适定问题,文中用Tikhonov正则化方法构造正则化解,并证明了所得正则化解稳定地收敛于精确解。
4)  Tikhonov-Phillip's regularization method
Tikhonov-Phillip正则化方法
5)  Tikhonov regularization
Tikhonov正则化方法
1.
It is shown that there exists a unique minimizer for the Tikhonov regularization functional and minimizer is a periodic spline.
用Tikhonov正则化方法讨论了周期函数的数值微分问题 。
2.
Conclusion TSVD is feasible and efficient for BLT reconstruction and compared with Tikhonov regularization,TSVD method has better noise-resistance,less time cost and more convenience for the determination of regularization parameter.
结论TSVD方法在BLT重建中是可行和有效的,与常用的Tikhonov正则化方法相比,TSVD法的抗噪性能更好,重建时间也较少,且正则化参数的选取及调整更为方便。
6)  constrained regularization method
约束正则化方法
1.
A constrained regularization method and the CONTIN algorithm that based on it are presented for inversion computation of particle size distributions in photon correlation spectroscopy.
介绍用于光子相关光谱法颗粒粒径分布反演计算的约束正则化方法及基于它的CONTIN算法,通过数值模拟反演理想单峰和双峰分布,分析CONTIN算法的展宽效应、该效应与粒径的关系。
补充资料:公理化方法(见公理化和形式化)


公理化方法(见公理化和形式化)
axiomatical method

  gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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