numerical differentiation meaning in English
数值微分法
Examples
- The numerical differentiation of first and second order with tikhonov regularization
正则化方法求一阶和两阶的数值微分 - This thesis is to recommend a important class of regularized strategies for solving inverse problems - mollifier method . it anaysises the consistency , numerical stability and error estimates of mollified solution . similar to tikhonov regularization , a discrepancy principle for selecting the mol - lifier parameter is proven and applications to numerical differentiation and numerical inversion of abel transform and also given
本文将介绍求解反问题的一类重要的正则化策略?缓镇法，并基于用gauss核构造的缓镇算子，分析了缓镇解的相容性、数值稳定性和误差估计，与tikhonov正则化类似，我们证明了决定缓镇参数的偏差原理。 - Based on this ill - posed problem of edge detection , the edge types that exist in real images are described as mathematical models and the edge models that smoothed by gaussian function are regarded as the research objects . the paper systematically analyzes the characteristics of the different edge types and the relations between the localization of the different edge types and the smoothing scale while using the numerical differentiation as the method to detect edges
本文从边缘检测的“两难”问题出发，对实际图像中可能出现的边缘类型进行了数学模型描述，然后把高斯平滑后的边缘模型作为研究对象，系统地分析了采用微分法检测边缘时，不同的边缘类型表现出来的特性，以及不同类型的边缘定位与平滑尺度的关系。