The following pages link to (Q4868585):
Displaying 50 items.
- On choices of formulations of computing the generalized singular value decomposition of a large matrix pair (Q2028035) (← links)
- Using partial spectral information for block diagonal preconditioning of saddle-point systems (Q2028486) (← links)
- Newton-based matrix splitting method for generalized absolute value equation (Q2029446) (← links)
- Sparse harmonic transforms. II: Best \(s\)-term approximation guarantees for bounded orthonormal product bases in sublinear-time (Q2038427) (← links)
- On maximum residual block and two-step Gauss-Seidel algorithms for linear least-squares problems (Q2041935) (← links)
- Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation (Q2051545) (← links)
- A practical meshfree inverse method for identification of thermo-mechanical fracture load of a body by examining the crack path in the body (Q2058063) (← links)
- Generalizations of the constrained mock-Chebyshev least squares in two variables: tensor product vs total degree polynomial interpolation (Q2060814) (← links)
- Multidomain Chebyshev pseudo-spectral method applied to the Poisson-Boltzmann equation for two parallel plates (Q2060992) (← links)
- Fast alternating direction multipliers method by generalized Krylov subspaces (Q2063215) (← links)
- Gauss-Seidel method with oblique direction (Q2063282) (← links)
- A predictor-corrector iterative method for solving linear least squares problems and perturbation error analysis (Q2067966) (← links)
- Optimal orthogonalization processes (Q2070423) (← links)
- Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
- Comparison of pandemic intervention policies in several building types using heterogeneous population model (Q2074187) (← links)
- PDE modeling of bladder cancer treatment using BCG immunotherapy (Q2097382) (← links)
- Solving large linear least squares problems with linear equality constraints (Q2098770) (← links)
- Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A}+ t\mathbf{B}\) (Q2103995) (← links)
- GMRES using pseudoinverse for range symmetric singular systems (Q2104052) (← links)
- A reduced proximal-point homotopy method for large-scale non-convex BQP (Q2114822) (← links)
- Towards a reliable implementation of least-squares collocation for higher index differential-algebraic equations. II: The discrete least-squares problem (Q2116035) (← links)
- An efficient Gauss-Newton algorithm for solving regularized total least squares problems (Q2116040) (← links)
- A two-step randomized Gauss-Seidel method for solving large-scale linear least squares problems (Q2127524) (← links)
- On obtaining sparse semantic solutions for inverse problems, control, and neural network training (Q2132578) (← links)
- A stabilized GMRES method for singular and severely ill-conditioned systems of linear equations (Q2135556) (← links)
- A multigrid preconditioner for tensor product spline smoothing (Q2135908) (← links)
- Characterization of bifurcations in the Zeeman catastrophe machine using singular value decomposition (Q2137539) (← links)
- Cluster Gauss-Newton method. An algorithm for finding multiple approximate minimisers of nonlinear least squares problems with applications to parameter estimation of pharmacokinetic models (Q2138298) (← links)
- An efficient bounded-variable nonlinear least-squares algorithm for embedded MPC (Q2139405) (← links)
- Hierarchical orthogonal factorization: sparse least squares problems (Q2147465) (← links)
- Parameter estimation and its influence on layered metal-composite-metal plates simulation (Q2156264) (← links)
- Characterization of events in the Rössler system using singular value decomposition (Q2171457) (← links)
- A greedy block Kaczmarz algorithm for solving large-scale linear systems (Q2176512) (← links)
- Fractional derivative for interpolation in \(\mathbb{R}^n\) and \(\mathrm{SO}(n)\) applications in functionally graded materials and rigid body transformations (Q2178407) (← links)
- The DPG-star method (Q2192493) (← links)
- A joint bidiagonalization based iterative algorithm for large scale general-form Tikhonov regularization (Q2192617) (← links)
- On relaxed greedy randomized coordinate descent methods for solving large linear least-squares problems (Q2192631) (← links)
- Convergence analysis for modified PAHSS-PU method with new parameter setting (Q2196254) (← 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)
- A gradient descent method for solving a system of nonlinear equations (Q2213706) (← links)
- Inversion of multiconfiguration complex EMI data with minimum gradient support regularization: a case study (Q2214947) (← links)
- Column-oriented algebraic iterative methods for nonnegative constrained least squares problems (Q2225527) (← links)
- Error analysis, perturbation theory and applications of the bidiagonal decomposition of rectangular totally positive h-Bernstein-Vandermonde matrices (Q2229466) (← links)
- Block sampling Kaczmarz-Motzkin methods for consistent linear systems (Q2230558) (← links)
- Least upper bound of truncation error of low-rank matrix approximation algorithm using QR decomposition with pivoting (Q2231598) (← links)
- Function values are enough for \(L_2\)-approximation (Q2231650) (← links)
- A doubly relaxed minimal-norm Gauss-Newton method for underdetermined nonlinear least-squares problems (Q2238831) (← links)
- Condition numbers for a linear function of the solution to the constrained and weighted least squares problem and their statistical estimation (Q2238939) (← links)
- Efficient recursive least squares solver for rank-deficient matrices (Q2242621) (← links)
