The following pages link to LSQR (Q13285):
Displaying 50 items.
- Karmarkar's projective method for linear programming: a computational survey (Q3491310) (← links)
- Iterative solution schemes for quadratic DRM-MD (Q3539901) (← links)
- A Useful Form of Unitary Matrix Obtained from Any Sequence of Unit 2-Norm <i>n</i>-Vectors (Q3561172) (← links)
- A convergence analysis of the performance of the DRM-MD boundary integral approach (Q3587936) (← links)
- A generalized LSQR algorithm (Q3588932) (← links)
- Fast single domain-subdomain BEM algorithm for 3D incompressible fluid flow and heat transfer (Q3619775) (← links)
- Numerical Methods for Large Sparse Linear Least Squares Problems (Q3694540) (← links)
- Tensor Equivalents for Solution of Linear Systems: A Parallel Algorithm (Q3773172) (← links)
- (Q4016503) (← links)
- How Fast are Nonsymmetric Matrix Iterations? (Q4016796) (← links)
- Analysis of Discrete Ill-Posed Problems by Means of the L-Curve (Q4036162) (← links)
- Numerical Linear Algebra for High-Performance Computers (Q4209212) (← links)
- Atomic Decomposition by Basis Pursuit (Q4210402) (← links)
- Fast CG-Based Methods for Tikhonov--Phillips Regularization (Q4253091) (← links)
- FFT-Based Preconditioners for Toeplitz-Block Least Squares Problems (Q4285950) (← links)
- (Q4287442) (← links)
- (Q4300051) (← links)
- (Q4325973) (← links)
- (Q4355915) (← links)
- Regularization by Truncated Total Least Squares (Q4376214) (← links)
- On optimization techniques for solving nonlinear inverse problems (Q4520990) (← links)
- SPMR: A Family of Saddle-Point Minimum Residual Solvers (Q4569320) (← links)
- Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization (Q4569361) (← links)
- A new implementation of LSMR algorithm for the quaternionic least squares problem (Q4583131) (← links)
- LSMB: Minimizing the Backward Error for Least-Squares Problems (Q4584922) (← links)
- Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods (Q4594173) (← links)
- Preconditioning and Iterative Solution of All-at-Once Systems for Evolutionary Partial Differential Equations (Q4610151) (← links)
- Krylov Subspace Solvers and Preconditioners (Q4615479) (← links)
- (Q4618363) (← links)
- (Q4625049) (← links)
- Parameter Selection and Preconditioning for a Graph Form Solver (Q4625760) (← links)
- LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables (Q4631282) (← links)
- A Convergence Result for Some Krylov–Tikhonov Methods in Hilbert Spaces (Q4639209) (← links)
- A Regularized Factorization-Free Method for Equality-Constrained Optimization (Q4641674) (← links)
- Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS (Q4641716) (← links)
- Efficient Satellite Based Geopotential Recovery (Q4643553) (← links)
- Tikhonov Regularization with a Solution Constraint (Q4652322) (← links)
- (Q4654008) (← links)
- On numerical stability in large scale linear algebraic computations (Q4680363) (← links)
- Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator (Q4685334) (← links)
- Iterative Krylov Methods for Large Linear Systems (Q4805351) (← links)
- (Q4843151) (← links)
- GMRESR: a family of nested GMRES methods (Q4868087) (← links)
- Semidefinite Programming (Q4877532) (← links)
- Multisplitting for regularized least squares with Krylov subspace recycling (Q4924926) (← links)
- (Q4962487) (← links)
- Sampled Tikhonov regularization for large linear inverse problems (Q4973539) (← links)
- Rank $2r$ Iterative Least Squares: Efficient Recovery of Ill-Conditioned Low Rank Matrices from Few Entries (Q4999366) (← links)
- The low rank approximations and Ritz values in LSQR for linear discrete ill-posed problem (Q5000587) (← links)
- Sampled limited memory methods for massive linear inverse problems (Q5000590) (← links)
