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文件格式 Maximum eigenvalue and the corresponding eigenvector.
Maximum eigenvalue and the corresponding eigenvector.
生物技术 小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashol
小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashold時注意時值不要過大,因為這牽涉inverse matrex的計算.
数学计算 1． Using power method to find the eigenvalue with maximum modulus and its eigenvector for the follow
1． Using power method to find the eigenvalue with maximum modulus and its eigenvector for the following matrixes
数学计算 ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
数学计算 computes the eigenvalues of a symmetric tridiagonal * matrix T. The user may ask for all eigenvalue
computes the eigenvalues of a symmetric tridiagonal
* matrix T. The user may ask for all eigenvalues, all eigenvalues
in the half-open interval (VL, VU], or the IL-th through IU-th eigenvalues.
matlab例程 ％ COMPDIR Computes a search direction in a subspace defined by Z. ％ Helper function for NLCONST.
％ COMPDIR Computes a search direction in a subspace defined by Z.
％ Helper function for NLCONST.
％ Returns Newton direction if possible.
％ Returns random direction if gradient is small.
％ Otherwise, returns steepest descent direction.
％ If the steepest descent direction is small it computes ...
数学计算 Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA ...
数学计算 LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that sol
LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high performance computer architectures
其他 包括使用修正Gram-Schmit算法实现QR分解
包括使用修正Gram-Schmit算法实现QR分解，自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse p ...