Least Squares Mixed Element Methods for Darcy flow Problems

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Darcy流问题的最小二乘混合元法,芮洪兴,,本文我们用最小二乘混合元法求解多孔介质Darcy流问题。该问题被写成是一阶方程组。我们建立一类最小二乘混合元格式并得到最优阶误�

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Least Squares Mixed Element Methods for Darcy flow Problems

Darcy流问题的最小二乘混合元法,芮洪兴,,本文我们用最小二乘混合元法求解多孔介质Darcy流问题。该问题被写成是一阶方程组。我们建立一类最小二乘混合元格式并得到最优阶误�

2019-12-29 立即下载
6.66MB
Least Squares Data Fitting with Applications

As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data p

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Image Deformation Using Moving Least Squares 算法的matlab实现。通过移动的最小二乘法改变和自定义的控制点操作图片。

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PLS(Partial Least Squares)目标跟踪程序-Matlab

用法: 1、用法:图像序列放入Sequences文件夹; 2、主程序为PLS_tracking_multi.m,修改prefix为图像文件夹名称,初始化ROI在第113行之后(x_mid y_mid w h) 3、结果文件为./result/result.mat 参考论文:Object Tracking via Partial Least Squares Analysis

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Burrus C S. Iterative re-weighted least squares.pdf

迭代(重)加权最小二乘 论文 Describes a powerful optimization algorithm which iteratively solves a weighted least squares approximation problem in order to solve an L_p approximation problem

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Image Deformation Using Moving Least Squares的opencv的实现

使用移动最小二乘法来进行数据增强的代码,在opencv上的实现

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Method for Nonlinear Least Squares Problems

详细的讲解了求解各类最小二乘问题的方法:高斯牛顿法 梯度下降算法

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Image Deformation Using Moving Least Squares 移动最小二乘法 图像变形(matlab实现)

通过移动的最小二乘法改变和自定义的控制点操作图片。Image Deformation Using Moving Least Squares 移动最小二乘法 图像变形(matlab实现)

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the total least squares problem computational aspect and analysis

整体最小二乘基本理论,介绍整体最小二乘基本原理,配合实例计算。

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Least Squares Generative Adversarial Networks.pdf

LSGANs基本思想 LSGANs的英文全称是Least Squares GANs。这篇文章针对的是标准GAN生成的图片质量不高以及训练过程不稳定这两个缺陷进行改进。改进方法就是将GAN的目标函数由交叉熵损失换成最小二乘损失,而且这一个改变同时解决了两个缺陷。

2019-09-11 立即下载
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Object Tracking via Partial Least Squares Analysis论文和代码

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通用最小二乘回归Matlab代码General+Least+Squares+Regression

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[2017_TR_Olga Sorkine ]Least-Squares Rigid Motion Using SVD pdf 线性代数

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全英文的,但却是求解最小二乘问题的经典,值得学习!

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Circular and linear regression: Fitting circles and lines by least squares

Nonlinear least square fiitings

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Generalized modified least squares in the univariate linear model

Generalized modified least squares in the univariate linear model,刘绪庆,,In this short paper, we mainly aim to appeal to readers to pay close attention to the criterion of modified least squares and develop it to generalized modified least squares. The

2020-02-06 立即下载
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nonlinear_least_squares

里边包括基于导数的最优算法:梯度下降法,牛顿法,Line Search,Trust Region and Damped Methods等等

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What are the differences between least-squares and Kalman filtering

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