Pages that link to "Item:Q5589678"
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The following pages link to Calculating the Singular Values and Pseudo-Inverse of a Matrix (Q5589678):
Displaying 50 items.
- A Framework for Regularization via Operator Approximation (Q5254474) (← links)
- Condition Numbers of the Multidimensional Total Least Squares Problem (Q5358299) (← links)
- Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems (Q5372617) (← links)
- PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations (Q5372627) (← links)
- The generalized triangular decomposition (Q5444317) (← links)
- Extension of GKB‐FP algorithm to large‐scale general‐form Tikhonov regularization (Q5502416) (← links)
- An Elimination Method for Computing the Generalized Inverse (Q5552526) (← links)
- A note on generalized inverses (Q5565193) (← links)
- Iterative refinement of linear least squares solutions II (Q5567413) (← links)
- Least squares, singular values and matrix approximations (Q5569883) (← links)
- Numerically stable deflation of hessenberg and symmetric tridiagonal matrices (Q5633575) (← links)
- Fast Nonnegative Least Squares Through Flexible Krylov Subspaces (Q5738172) (← links)
- A matrix LSQR iterative method to solve matrix equation<i>AXB</i>=<i>C</i> (Q5747722) (← links)
- Extension of biplot methodology to multivariate regression analysis (Q5861487) (← links)
- A Block Bidiagonalization Method for Fixed-Accuracy Low-Rank Matrix Approximation (Q5863873) (← links)
- Krylov Subspace Approach to Core Problems within Multilinear Approximation Problems: A Unifying Framework (Q5885802) (← links)
- Fast enclosure of matrix eigenvalues and singular values via rounding mode controlled computation (Q5929749) (← links)
- Two-sided hyperbolic SVD (Q5962280) (← links)
- Learning feedback Nash strategies for nonlinear port-Hamiltonian systems (Q6040975) (← links)
- A non-iterative method for vertex corrections of the Kubo formula for electric conductivity (Q6041002) (← links)
- Low-rank tensor methods for partial differential equations (Q6047498) (← links)
- A literature survey of matrix methods for data science (Q6068265) (← links)
- Paige's algorithm for solving a class of tensor least squares problem (Q6093561) (← links)
- Tensor product approach to modelling epidemics on networks (Q6095052) (← links)
- Accurate and fast matrix factorization for low-rank learning. (Q6097244) (← links)
- Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support (Q6101122) (← links)
- A new matrix maximization model for computing ratios of generalized singular values from high-order GSVD (Q6101875) (← links)
- Row Replicated Block Cimmino (Q6116384) (← links)
- Alternating cyclic vector extrapolation technique for accelerating nonlinear optimization algorithms and fixed-point mapping applications (Q6126026) (← links)
- Efficient approximations of the fisher matrix in neural networks using kronecker product singular value decomposition (Q6127062) (← links)
- Explicit deflation in Golub-Kahan-Lanczos bidiagonalization methods (Q6163324) (← links)
- Jackstraw inference for AJIVE data integration (Q6167041) (← links)
- The Joint Bidiagonalization of a Matrix Pair with Inaccurate Inner Iterations (Q6180360) (← links)
- Acceleration of iterative refinement for singular value decomposition (Q6181168) (← links)
- Numerical range for weighted Moore-Penrose inverse of tensor (Q6198242) (← links)
- Analyzing vector orthogonalization algorithms (Q6540314) (← links)
- Randomized low-rank approximation methods for projection-based model order reduction of large nonlinear dynamical problems (Q6555374) (← links)
- Structural damage detection based on improved sensitivity function of modal flexibility and Iterative reweighted \(l_p\) regularization (Q6565591) (← links)
- Solver-free classical computational homogenization for nonlinear periodic heterogeneous media (Q6569918) (← links)
- Comparative analysis of model reduction strategies for circuit based periodic control problems (Q6578417) (← links)
- Tensorial total variation-based image and video restoration with optimized projection methods (Q6585822) (← links)
- Small singular values can increase in lower precision (Q6592219) (← links)
- Matrix completion from a computational statistics perspective (Q6600376) (← links)
- Analyzing complex mathematical model behavior by partial least squares regression-based multivariate metamodeling (Q6604436) (← links)
- On Krylov subspace methods for skew-symmetric and shifted skew-symmetric linear systems (Q6614938) (← links)
- A geometric algebra solution to the absolute orientation problem (Q6616701) (← links)
- Adaptive predictor-set linear model: an imputation-free method for linear regression prediction on data sets with missing values (Q6625469) (← links)
- The power of bidiagonal matrices (Q6628853) (← links)
- Optimal approximation of a large matrix by a sum of projected linear mappings on prescribed subspaces (Q6628866) (← links)
- Data-driven optimal shrinkage of singular values under high-dimensional noise with separable covariance structure with application (Q6652566) (← links)
