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Description: factorization.zip
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Size: 709247 |
Author: 田天 |
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Description: factorization.zip
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Size: 708608 |
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Description: Code to run the Non-negative Matrix Factorization algorithm as presented in the Lee, Seung 1999 Nature paper.
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Size: 1211392 |
Author: chenjiawei |
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Description: 1． Using LU factorization method to solve the following tri-diagonal system
for n=10 and 100
-1. Using LU factorization method to solve the following tri-diagonal system for n = 10 and 100
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Size: 1024 |
Author: 吕鹏 |
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Description: 2． Using QR factorization to find all of the eigenvalues and eigenvectors for the following matrix-2. Using QR factorization to find all of the eigenvalues and eigenvectors for the following matrix
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Size: 84992 |
Author: 吕鹏 |
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Description: 非负矩阵分解技术（Nonnegtive Matrix Factorization 一种信号或图像的特征提取的方法，也可用于图像压缩 -Non-negative Matrix Factorization technique (Nonnegtive Matrix Factorization a signal or image feature extraction methods can also be used for image compression
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Size: 1024 |
Author: 邹晶 |
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Description: 非负矩阵分解的matlab代码，内容全！希望对大家有用-Non-negative Matrix Factorization of matlab code, the contents of the whole! Hope useful for everyone
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Size: 499712 |
Author: hefei |
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Description: The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively.
The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
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Size: 10240 |
Author: Allan KAO |
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Description: The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively.
The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
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Size: 1024 |
Author: Allan KAO |
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Description: LDL分解。作为矩阵方程数值解法最基础的矩阵分解算法，LDL算法可以高效分解对称矩阵。-LDL decomposition. Numerical Solution of matrix equation as the most basic matrix factorization algorithm, LDL decomposition algorithm can be efficient symmetric matrix.
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Size: 1024 |
Author: lommmmmm |
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Description: 数值方法课程中的程序，如GaussSeidel迭代法解方程组，Jacobi迭代法解方程组，SOR迭代法解方程组，杜利特尔矩阵分解以及矩阵的直接解法，拉格朗日插值等11个程序。-Courses in numerical methods, such as iterative method for solution GaussSeidel equations, Jacobi iterative method for solution of equations, SOR iterative method solution equations, Doolittle matrix factorization and matrix of the direct method, Lagrange interpolation 11 procedures and so on.
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Size: 6144 |
Author: 刘冬 |
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Description: Lucas-Kanader-Tomasi Feature Tracker，由运动恢复结构的问题，目的是从一组由摄像机移动获得的图像来恢复一个场景的立体结构。对于这个问题，C.Tomasi和T.Kanade[1]于1992年提出了一种Factorization的方法，可以有效地避免噪声的干扰，同时不会受限于特定的运动模型，例如单纯的平移或是旋转。-Lucas-Kanader-Tomasi Feature Tracker, by the movement to restore the structure of the problem, aimed at a group of mobile access by the camera image to restore the three-dimensional structure of a scene. For this problem, C. Tomasi and T. Kanade [1] in 1992 proposed a factorization method which can effectively avoid noise interference, while not restricted to a particular motion model, such as pure translation or rotation .
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Size: 186368 |
Author: 梁霄 |
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Description: HankelToeplitz and Takagi Factorization Package
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Size: 1024 |
Author: george |
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Description: 给定任意一个子波，通过克基霍夫变换返回最小相位子波。-Kolmogoroff spectral factorization.
Given an arbitrary wavelet this function retrieves the minimum
phase wavelet using Kolmogoroff factorization
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Size: 1024 |
Author: 马龙 |
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Description: 对稀疏矩阵进行LU分解，可用于电路仿真、FEM求解等 C语言-KLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. KLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News.
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Size: 560128 |
Author: aaq |
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Description: classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.-classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.
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Size: 1024 |
Author: Ji Hye Park |
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Description: 对整数进行因数分解，输入整数，输出因数分解-Factorization of the integers
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Size: 1024 |
Author: jianjia |
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Description: In linear algebra, LU decomposition (also called LU factorization) is a matrix decomposition which writes a matrix as the product of a lower triangular matrix and an upper triangular matrix. The product sometimes includes a permutation matrix as well. This decomposition is used in numerical analysis to solve systems of linear equations or calculate the determinant of a matrix.
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Size: 2048 |
Author: James |
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Description: a QR decomposition (also called a QR factorization) of a matrix is a decomposition of the matrix into an orthogonal and an upper triangular matrix. QR decomposition is often used to solve the linear least squares problem, and is the basis for a particular eigenvalue algorithm, the QR algorithm.
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Size: 2048 |
Author: James |
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Description: Nonnegative_matrix_factorization是实现非负矩阵分解的程序，该算法可以用来进行图像分解和模式识别
-Nonnegative_matrix_factorization is to achieve non-negative matrix factorization procedure, the algorithm can be used for pattern recognition and image decomposition
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Size: 15639552 |
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