应用截断奇异值分解(truncated singular value decomposition,TSVD)的正则化方法对该不适定方程组进行求解,并且采用了L曲线法对正则化参数进行选取。 2. Methods Truncated singular value decomposition(TSVD) regularization method is applied to solving BLT inverse problem with the source permissible region as a ...
Common regularization methods include truncated singular value decomposition (TSVD) and truncated iteration with a Krylov subspace method. It can be difficult to determine when to truncate. Recently, it has been demonstrated that extrapolation of approximate solutions determined by TSVD gives a new ...
Truncated Singular Value Decomposition (SVD) is a matrix factorization technique that factors a matrix M into the three matrices U, Σ, and V. This is very similar to PCA, excepting that the factorization for SVD is done on the data matrix, whereas for PCA, the factorization is done on th...
etd.lib.nsysu.edu.tw|基于 1 个网页 3. 精简的奇值分解 ...;为了减少计算的时间,我们会对TCC矩阵执行一种「精简的奇值分解」(truncated singular value decomposition)运算。 ssttpro.acesuppliers.com|基于 1 个网页
Truncated singular value decomposition(TSVD)-based methods are often used for two-dimensional inversion,but can suffer from drawbacks such as failure to locate an appropriate truncating position,sensitivity to noise,and generation of artificial signals.In this paper,we proposed an improved TSVD-based ...
Common regularization methods include truncated singular value decomposition (TSVD) and truncated iteration with a Krylov subspace method. It can be difficult to determine when to truncate. Recently, it has been demonstrated that extrapolation of approximate solutions determined by TSVD gives a new ...
Joint inversion of T1–T2 spectrum combining the iterative truncated singular value decomposition and the parallel particle swarm optimization algorithms Comput Phys Comm, 0010-4655, 198 (2016), pp. 59-70, 10.1016/j.cpc.2015.09.003 URL https://www.sciencedirect.com/science/article/pii/S00104655150...
Existing methods include the truncated singular value decomposition (TSVD) method [12], the Landweber iteration algorithm [13], the Tikhonov regularization method [14–18], the algebraic reconstruction technique (ART) [19,20], the simultaneous iterative reconstruction technique (SIRT) [21,22], and...
truncated singular value decomposition (SVD). It is very similar to PCA, but operates on sample vectors directly, instead of on a covariance matrix. This means it can work with scipy.sparse matrices efficiently.In particular, truncated SVD works on term count/tf–idf matrices as ...
A new modified singular value decomposition method, piecewise polynomial truncated SVD (PPTSVD), which was originally developed to identify discontinuity of the earth's radial density function, has been used for large solvent peak suppression and noise elimination in nuclear magnetic resonance (NMR) s...