搜索资源列表
SFM
- 顺序函数法求解一维非稳态导热反问题的源代码-Sequential function method for solving one-dimensional unsteady heat conduction inverse problem of the source code
direct_stable
- 边界元法解传热学反问题（几何边界识别问题）-Heat transfer boundary element method for solving the inverse problem (geometric boundary identification problem)
1
- 针对ECT图像重建质量有待提高的现状，研究ECT的正问题及逆问题．在多种介质分布下获得投影数据，对LBP法、PLI法和新算法进行了比较研究-Both positive problem and inverse problem of E凹were investigated to improve reconstruction quality of ECT image．The LBP．PLI and new algorithms were compared extensivel
seimic-processing
- 地震资料处理是非常重要的地震处理流程，本代码包括滤波和正反问题。-Seismic data processing ,including filting and forward and inverse problem,it is very useful !
A-Spectral-Approach-EMD
- Although it has been proven to be particularly effective in many applications,EMD method has several drawbacks. The major problem with EMD is the lack of theoretical Framework which leads to difficulties for the characterization and evaluatio
myencryptsrc
- 贺兰_加密解密字符串，VB源码下载，CRndXorHash.cls功能：用VB6实现中英文文本的私钥加密。可能转换为不可显示字符，逆转换会出错！使用 MTransform.bas 中的转换16进制函数显示加密后的数据，可以解决逆转换问题！但加密、解密速度变慢！注意：对含特殊符号（如·）的字符串出现错误！必须为AscWII格式。 功能：加密字符串（含贺兰_进制转换(产生随机数，进制转换)模块） 1、"RndXorHash加密法" 2、"AES加密法" 3、"
Total-Variation---
- This program implements FISTA for solving the linear inverse problem with the total variation regularizer and either reflexive, periodic or zero boundary conditions. The blurring operation is assumed to be seperable.-This program implements FISTA for
primal_dual
- 全变差求解病态线性方程组的算法说明及其Matlab上的实现代码，在反演问题中常常会用到，全变差正则化具有边界识别强的特点，在图像去噪和恢复方面很有价值！-Total Variation solving ill-conditioned linear equations Matlab algorithm descr iption and implementation code on the inverse problem will often be used, total variation reg
mreit_11_12_30
- 关于电阻抗成像正问题与逆问题的主程序，求U、E、B的子程序按照公式即可，这里的模型是圆柱体-On problem and inverse problem of electrical impedance imaging are the main program, beg U, E, B subroutine according to the formulas, the model here is cylinder
shiyan
- 这个是MREIT逆问题时的测量数据，是32电极的，总共分3组-This is MREIT inverse problem of the measurement data, is 32 electrodes, a total of three groups
plot_ellipse
- 反演问题的误差椭球及及在各个模型空间的投影，应用与得到模型参数的置信区间。-Error ellipsoid and the inverse problem and the projection of each model space, the application of the model parameters and obtain confidence intervals.
l_curve
- 反演问题中正则化参数阿尔法的l-curve选取方法，用于画出l-curve，选取曲率最大的点。-Inverse problem regularization parameter alpha l-curve selection method used to draw l-curve, the point of maximum curvature.
primal_dual
- 反问题的对偶空间方法，对初学者很有帮助，可以下载学习。-Dual space method of inverse problem, very helpful for beginners, you can download the study.
firstqst
- 该程序是奇异值分解程序，有利于图像等反问题的研究和求解-The program is the singular value decomposition process, research and solution to the inverse problem of image etc.
Landweber.m
- 改程序是求解反问题的经典程序，可以进行修改使用，适合初学者-The reform program is the classic procedure for solving the inverse problem, can be modified to use, suitable for beginners
sLORETA
- sLORETA source code is an algorithm used to solve EEG/MEG inverse problem with zero localization error, by standardized the minimum norm solution.-sLORETA source code is an algorithm used to solve EEG/MEG inverse problem with zero localization error,
CSALSA_v2
- 增广拉格朗日算法。目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。-Augmented Lagrangian algorithm. Solving optimization objective function, commonly used in inverse problem solving, is typical of L1-norm algorithm.
ivtcg
- 不完全变量截断共轭梯度算法，目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。-Incomplete variable truncated conjugate gradient algorithm for solving optimization objective function, commonly used in inverse problem solving, is typical of L1-norm algorithm.
SolveDALM_fast
- 快速对偶增广拉格朗日算法，目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。-Quick optimization for dual augmented Lagrangian algorithm for solving the objective function, commonly used in inverse problem solving, is typical of L1 norm algorithm.
Tikhonov-for-inverse-problem
- 《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.