Result 1 to 20 of 62 total
Optimal AOR for rank deficient least squares problem. (English)
J. Nanjing Norm. Univ., Nat. Sci. Ed. 34, No. 4, 1-8 (2011).
1
The optimal parameters of the PSD method for rank deficient linear systems. (Chinese)
J. Shandong Univ., Nat. Sci. 46, No. 12, 13-18 (2011).
2
Numerical-symbolic exact irreducible decomposition of cyclic-12. (English)
LMS J. Comput. Math. 14, 155-172, electronic only (2011).
3
Chebyshev polynomial acceleration for block SOR methods for solving the rank-deficient least-squares problem. (English)
Int. J. Comput. Math. 88, No. 1, 6-20 (2011).
4
Euclidean structure from confocal conics: theory and application to camera calibration. (English)
Comput. Vis. Image Underst. 114, No. 7, 803-812 (2010).
5
The perturbation of the iterative methods for computing the polar decomposition of rank-deficient matrix. (Chinese)
J. Anhui Norm. Univ., Nat. Sci. 31, No. 2, 119-122 (2008).
6
AOR iterative methods for rank deficient least squares problems. (English)
J. Appl. Math. Comput. 26, No. 1-2, 105-124 (2008).
7
Constrained Kaczmarz extended algorithm for image reconstruction. (English)
Linear Algebra Appl. 429, No. 8-9, 2247-2267 (2008).
8
Symmetric block-SOR methods for rank-deficient least squares problems. (English)
J. Comput. Appl. Math. 215, No. 1, 14-27 (2008).
9
Comments on “Symmetric successive overrelaxation methods for rank deficient linear systems”. (English)
Appl. Math. Comput. 182, No. 2, 1709-1713 (2006).
10
Dimensionality reduction and volume minimization ‒ generalization of the determinant minimization criterion for reduced rank regression problems:TO:. (English)
Linear Algebra Appl. 418, No. 1, 201-214 (2006).
11
On accelerate overrelaxation methods for rank deficient linear systems. (English)
Appl. Math. Comput. 173, No. 2, 951-959 (2006).
12
Regularization methods for uniformly rank-deficient nonlinear least-squares problems. (English)
J. Optim. Theory Appl. 127, No. 1, 1-26 (2005).
13
Cramer-Rao bound of spatio-temporal linear pre-processing in parameter estimation from sensor array. (English)
Signal Process. 84, No. 2, 387-405 (2004).
14
Computing Moore-Penrose inverses of Toeplitz matrices by Newton’s iteration. (English)
Math. Comput. Modelling 40, No. 1-2, 181-191 (2004).
15
Conjugate gradient method for rank deficient saddle point problems. (English)
Numer. Algorithms 35, No. 2-4, 139-154 (2004).
16
Weighted Tikhonov filter matrices for ill-posed problems. (English)
Appl. Math. Comput. 149, No. 2, 411-422 (2004).
17
CGLS-GCV: A hybrid algorithm for low-rank-deficient problems. (English)
Appl. Numer. Math. 47, No. 2, 91-108 (2003).
18
Projections and preconditioning for inconsistent least-squares problems. (English)
Int. J. Comput. Math. 78, No.4, 599-616 (2001).
19
Recurrent neural networks for computing weighted Moore-Penrose inverse. (English)
Appl. Math. Comput. 116, No.3, 279-287 (2000).
20
Result 1 to 20 of 62 total
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