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Description: LU矩阵分解单机版最新版本，用于快速求解稀疏矩阵组成的方程组的解-LU decomposition matrix version of the latest stand-alone version for fast sparse matrix solution of the solution of the equations
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Size: 1134592 |
Author: wang |
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Description: 用途：用向量(稀疏存储)形式的Gauss-Seidel迭代解线性方程组Ax=b
％ 格式: x=spgs(A,b，x0,e,N),A为系数矩阵，b为右端向量，x返回解向量。
％ x0为初值向量(默认原点)，e为精度(默认1e-4),设置迭代次数上限以防发散(默
％ 认500)。 -purposes : with Vector (sparse storage) form of Gauss- Seidel iterative solution of linear equations Ax = b% Format : spgs x = (A, b, x0, e, N), A coefficient matrix, b subguadratic vector, returning x vector. X0% for initial vector (the default origin), e-precision (default 1e-4), iteration ceiling set to prevent divergence (mime identified 500%).
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Size: 1024 |
Author: 王志波 |
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Description: The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods.
In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated
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Size: 11264 |
Author: 徐亮 |
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Description: 解稀疏对称方程组的ICCG法fortran源程序
有算例，希望对你有帮助-Solution of sparse symmetric linear ICCG method source fortran examples there, and they hope to help you
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Size: 722944 |
Author: wangsong |
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Description: 这是Yousef Saad编写的矩阵运算的Fortran软件包（A basic tool-kit for sparse matrix computations (Version 2),包含常见的排序，预处理(ILU分解等)，Krylov子空间迭代法，以及有限差分等方法得到的算例等。有不少很实用的子程序（比如稀疏矩阵相加、相乘等等，可以学习专家的设计哟！）。极力向学习大型线性方程组数值解的人推荐（不足之处就是Fortran实现，本人觉得还是C语言好）。-Yousef Saad This is prepared in the Fortran matrix calculation package (A basic tool-kit for sparse matrix computations (Version 2), contains the common sort, preconditioning (ILU decomposition, etc.), Krylov subspace iteration method, as well as limited differential and other methods such as numerical example. there are many very practical subprogram (such as sparse matrix add, multiply, etc., can learn from experts in the design yo!). hard to study large-scale numerical solution of linear equations of the people Recommended (Fortran is inadequate to achieve, I feel good or C language).
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Size: 1157120 |
Author: 张德柱 |
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Description: SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perform an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions. -SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or
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Size: 1955840 |
Author: anfangde |
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Description: It is about soving sparse solution from linear system, simpel and fast.
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Size: 1024 |
Author: anne |
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Description: 解稀疏对称方程组的ICCG法fortran源程序-Solution of sparse symmetric equations of the ICCG method fortran source code
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Size: 1024 |
Author: 范磊 |
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Description: In kernel ridge regression we have seen the final solution was not sparse in the variables ® .
We will now formulate a regression method that is sparse, i.e. it has the concept of support
vectors that determine the solution.
The thing to notice is that the sparseness arose from complementary slackness conditions
which in turn came from the fact that we had inequality constraints. In the SVM the penalty
that was paid for being on the wrong side of the support plane was given by C
P
i » k
i for
positive integers k, where » i is the orthogonal distance away from the support plane. Note
that the term jjwjj2 was there to penalize large w and hence to regularize the solution.
Importantly, there was no penalt
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Size: 51200 |
Author: bahman |
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Description: Julien Mairal的关于稀疏表示的课件，介绍了稀疏表示的概念及求解方法以及应用方面的内容。-Julien Mairal courseware on the sparse representation, introduced the concept of sparse representation and solution methods and applications aspects.
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Size: 8964096 |
Author: zhuyuan |
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Description: 用matlab实现的基于稀疏表示的人脸识别方法。其中解稀疏表示时，包含了各种方法。-Using matlab face recognition method based on sparse representation. Solution of the sparse representation, contains a variety of methods.
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Size: 47104 |
Author: wangbinbin |
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Description: SPICE的代码，可以运行基于相关矩阵的估计方法，这个方法可以应用于稀疏求解，例如求解DOA-the matlab code for SPICE, it s a sparse covariance-based method for sparse solution, e.g.,the solution for the estimation of DOA
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Size: 3072 |
Author: Yi zhang |
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Description: 一个关于压缩感知的论文，用FOCUSS法求出最后的稀疏解，对于新手很有用-a method for compressed sensing
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Size: 2573312 |
Author: 倪得晶 |
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Description: 新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。-The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimization problems based on norm constraint then iterative algorithm along with uniform orientation plane array receives data to seek to minimize the objective function is sparse solution, get directions, spatial frequency coupling angle pitch angle, and separated signals Finally for each signal separation along the sparse area array pitch to seek solutions to obtain the pitch angle of the signal, and then obtain the corresponding azimuth.
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Size: 1024 |
Author: 宇哥 |
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Description: 高效稀疏求解包，包含一些应用实例，应用广泛。-Efficient sparse solution package, including some application examples, wide application.
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Size: 834560 |
Author: 王振 |
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Description: 压缩感知作为一个新起的采样理论，核心是求欠定方程组的稀疏解。本文件通过自定义一个TL0罚函数，用阈值迭代算法，在matlab工作环境里求出最优解-Compressed sensing as a new starting sampling theory, the core is seeking sparse solution underdetermined equations. This document is by custom a TL0 penalty function threshold iterative algorithm, matlab work environment in the optimal solution
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Size: 8192 |
Author: ZHANGQIAN0321 |
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Description: 压缩感知信号恢复算法OMP和CoSaMP算法，常用的算法- x = CoSaMP( A, b, k )
uses the Compressive Sampling Matched Pursuit (CoSaMP) algorithm
(see Needell and Tropp s 2008 paper http://arxiv.org/abs/0803.2392 )
to estimate the solution to the equation
b = A*x (or b = A*x+ noise )
where there is prior information that x is sparse.z
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Size: 11264 |
Author: cyberknight |
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Description: 计算Ax b的最稀疏解，利用梯度投影算法，矩阵分析与应用作业-Computing Ax b is the most sparse solution, using the gradient projection algorithm, Matrix Analysis and Applications jobs
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Size: 1024 |
Author: kiki |
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Description: 脉冲噪声背景下的联合稀疏恢复方法， 在不同背景下给出了测试结果-presents a robust solution for joint sparse
recovery (JSR) under impulsive noise. The unknown measurement
noise is endowed with the Student-t distribution, then a
novel Bayesian probabilistic model is proposed to describe the
JSR problem. To effectively recover the joint row sparse signal,
variational Bayes (VB) method is introduced for Bayesian theory
based JSR algorithms such that it overcomes the intractable
integrations inherent. Simulation results verify that the proposed
algorithm significantly outperforms the existing algorithms under
impulsive noise.
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Size: 1173504 |
Author: bigbigtom |
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Description: 同伦算法应用于DOA估计中，一范数稀疏求解优化方法(Homotopy algorithm is applied to DOA estimation, and a norm sparse solution optimization method is proposed.)
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Size: 2048 |
Author: 德玛亚第三代 |
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