Pages that link to "Item:Q5693185"
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The following pages link to Augmented Implicitly Restarted Lanczos Bidiagonalization Methods (Q5693185):
Displaying 50 items.
- Low-dimensional tracking of association structures in categorical data (Q261042) (← links)
- Projected Tikhonov regularization of large-scale discrete ill-posed problems (Q368090) (← links)
- An augmented LSQR method (Q372851) (← links)
- Fast dimension-reduced climate model calibration and the effect of data aggregation (Q400583) (← links)
- A Krylov-Schur approach to the truncated SVD (Q413526) (← links)
- A harmonic Lanczos bidiagonalization method for computing interior singular triplets of large matrices (Q433291) (← links)
- Fast ESPRIT algorithms based on partial singular value decompositions (Q477709) (← links)
- Modulus-based iterative methods for constrained Tikhonov regularization (Q515743) (← links)
- Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization (Q530079) (← links)
- Some properties of LSQR for large sparse linear least squares problems (Q625665) (← links)
- Efficient alternating least squares algorithms for low multilinear rank approximation of tensors (Q831251) (← links)
- Restarted block Lanczos bidiagonalization methods (Q870765) (← links)
- Augmented block Householder Arnoldi method (Q952023) (← links)
- Mixed and componentwise condition numbers for a linear function of the solution of the total least squares problem (Q1637988) (← links)
- Tensor-free proximal methods for lifted bilinear/quadratic inverse problems with applications to phase retrieval (Q2052715) (← links)
- On obtaining sparse semantic solutions for inverse problems, control, and neural network training (Q2132578) (← links)
- Reduced multidimensional scaling (Q2135844) (← links)
- Mathematics of magic angles in a model of twisted bilayer graphene (Q2137781) (← links)
- An efficient, memory-saving approach for the Loewner framework (Q2144964) (← links)
- The minimal-norm Gauss-Newton method and some of its regularized variants (Q2203382) (← links)
- Computing the smallest singular triplets of a large matrix (Q2211056) (← links)
- Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach (Q2217423) (← links)
- A preconditioned multiple shooting shadowing algorithm for the sensitivity analysis of chaotic systems (Q2222553) (← links)
- On the convergence of Krylov methods with low-rank truncations (Q2234488) (← links)
- Analysis of directed networks via partial singular value decomposition and Gauss quadrature (Q2249727) (← links)
- Lanczos method for large-scale quaternion singular value decomposition (Q2274168) (← links)
- A cross-product approach for low-rank approximations of large matrices (Q2293619) (← links)
- On the computation of a truncated SVD of a large linear discrete ill-posed problem (Q2360674) (← links)
- Split-and-combine singular value decomposition for large-scale matrix (Q2375636) (← links)
- An implicitly restarted block Lanczos bidiagonalization method using Leja shifts (Q2376857) (← links)
- Probabilistic upper bounds for the matrix two-norm (Q2441121) (← links)
- Regularization parameter determination for discrete ill-posed problems (Q2510005) (← links)
- An implicitly restarted Lanczos bidiagonalization method with refined harmonic shifts for computing smallest singular triplets (Q2511197) (← links)
- Harmonic and refined extraction methods for the singular value problem, with applications in least squares problems (Q2566637) (← links)
- Hybrid iterative refined restarted Lanczos bidiagonalization methods (Q2679823) (← links)
- Compression of tokamak boundary plasma simulation data using a maximum volume algorithm for matrix skeleton decomposition (Q2699387) (← links)
- Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients (Q2945170) (← links)
- Inverse subspace problems with applications (Q2948071) (← links)
- A Preconditioned Hybrid SVD Method for Accurately Computing Singular Triplets of Large Matrices (Q3447456) (← links)
- TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems (Q4632005) (← links)
- Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models (Q4904729) (← links)
- Hybrid Projection Methods with Recycling for Inverse Problems (Q4997343) (← links)
- Approximate Generalized Inverses with Iterative Refinement for $\epsilon$-Accurate Preconditioning of Singular Systems (Q5028552) (← links)
- Randomized Spectral Clustering in Large-Scale Stochastic Block Models (Q5057098) (← links)
- A Matrix-Free Likelihood Method for Exploratory Factor Analysis of High-Dimensional Gaussian Data (Q5066017) (← links)
- On the regularization of convolutional kernel tensors in neural networks (Q5095242) (← links)
- Modulus-based iterative methods for constrained <b> <i>ℓ</i> </b> <sub> <i>p</i> </sub>–<b> <i>ℓ</i> </b> <sub> <i>q</i> </sub> minimization (Q5117383) (← links)
- Feedback control of chaotic systems using multiple shooting shadowing and application to Kuramoto–Sivashinsky equation (Q5161047) (← links)
- Hybrid Projection Methods with Recycling for Inverse Problems (Q5161739) (← links)
- Thick restarting the weighted harmonic Golub-Kahan-Lanczos algorithm for the linear response eigenvalue problem (Q5218406) (← links)
