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ere we provide codes for a very powerful Lanczos based hybrid
iterative method that can be used for large scale linear ill-posed
inverse problems. The method will automatically choose [Tikhonov]
regularization parameters, and automatically determ
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支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化（Tikhonov Regularization）方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区
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本程序是基于Tikhonov正则化方法重建图像分析-This procedure is based on the Tikhonov regularization method for reconstruction of image analysis
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Comparison of the Iterative Stationary of 1st and 2nd order and CG
methods on a Tikhonov regularization inverse problem: -Comparison of the Iterative Stationary of 1st and 2nd order and CG methods on a Tikhonov regularization inverse problem:
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利用Tikhonov正则化实现的超分辨率图像序列的重建，效果还好-Use Tikhonov regularization to achieve super-resolution image sequence reconstruction, better results
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Tikhonov.m 纪洪诺夫正则化方法-Tikhonov.m Regularization..............
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example of 2D tikhonov regularization tools
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example of tikhonov regularization tools
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This MATLAB .m file takes a "true" image, and an "observed" image that is the true image that has been noised with uncorrelated Gaussian noise. The function then performs Tikhonov regularization to clean up the defects in the image, with the Tikhonov
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正则化方法包括Tikhonov，tsvd,ttls,tgsvd,csvd-Regularization Method include Tikhonov，tsvd,ttls,tgsvd,csvd.
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Tikhonov正则化在并行磁共振图像重建中的应用-Tikhonov regularization in parallel magnetic resonance image reconstruction
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本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。-The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.
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《不适定问题的正则化方法及应用》pp.6例题1.2的Tikhonov正则化方法及迭代Tikhonov正则化方法程序包。-Tikhonov regularization method and iterative Tikhonov regularization method package for the book regularization method and applications of ill-posed problems pp.6 example 1.2.
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不适定问题的迭代Tikhonov正则化方法，介绍了Tikhonov正则化方法解决不定适问题-An iterative Tikhonov regularization method for ill posed problems is introduced, and the Tikhonov regularization method is introduced to solve the ill posed problem
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计算病态反问题时所采用的的正则化方法(Regularization method used in the computation of ill posed inverse problems)
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论文Tikhonov, Ivanov and Morozov regularization for support vector machine learning(paper, Tikhonov, Ivanov and Morozov regularization for support vector machine learning)
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解病态方程的正则化方法、逆问题不适定解的处理与正则化(Regularization method for solving ill conditioned equations)
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多种最优化方法的集合函数，包括吉洪诺夫正则化算法等。(mutilple method for inverse problem, mainly to solve ill-conditioned system of linear equations.including Tikhonov regularization method.)
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吉洪诺夫正则化的matlab函数，可以自己选择参数值，调用即可(The matlab function of Tikhonov regularization)
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压缩包里包含了：正则化方法，L曲线，奇异值分解等，希望对大家有帮助(Compression package contains: regularization method, L curve, singular value decomposition and so on, we hope to help everyone.)
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