Pages that link to "Item:Q4210364"

The following pages link to Solving Ill-Conditioned and Singular Linear Systems: A Tutorial on Regularization (Q4210364):

Displaying 50 items.

• The convergence of the perturbed Newton method and its application for ill-conditioned problems (Q426284) (← links)
• Sparse discretization matrices for Volterra integral operators with applications to numerical differentiation (Q548796) (← links)
• Efficient emulators for scattering using eigenvector continuation (Q822356) (← links)
• Fast estimation of multivariate spatiotemporal Hawkes processes and network reconstruction (Q825058) (← links)
• A heuristic for optimizing stochastic activity networks with applications to statistical digital circuit sizing (Q833427) (← links)
• The Lagrange method for the regularization of discrete ill-posed problems (Q941807) (← links)
• On the regularization of singular systems of linear algebraic equations by shifts (Q951712) (← links)
• Regularization using a parameterized trust region subproblem (Q959940) (← links)
• Trust-region and other regularisations of linear least-squares problems (Q1014897) (← links)
• An inverse problem in modelling liquid metal spraying (Q1401085) (← links)
• Multi-parameter regularization techniques for ill-conditioned linear systems (Q1402157) (← links)
• Numerical analysis of non-uniform sampling problem (Q1590789) (← links)
• Spatially adaptive splines for statistical linear inverse problems (Q1604621) (← links)
• A hybrid of adjustable trust-region and nonmonotone algorithms for unconstrained optimization (Q1630201) (← links)
• Optimal subgradient algorithms for large-scale convex optimization in simple domains (Q1689457) (← links)
• Object selection in credit scoring using covariance matrix of parameters estimations (Q1703531) (← links)
• A box regularized particle filter for state estimation with severely ambiguous and non-linear measurements (Q1737913) (← links)
• Preconditioning linear systems via matrix function evaluation (Q1760115) (← links)
• Wavelet domain signal deconvolution with singularity-preserving regularization (Q1861336) (← links)
• A regularised estimator for long-range dependent processes (Q1941250) (← links)
• Structured penalties for functional linear models -- partially empirical eigenvectors for regression (Q1950819) (← links)
• Adaptive non-linear high gain observer based sensorless speed estimation of an induction motor (Q2005327) (← links)
• On the covariance-Hessian relation in evolution strategies (Q2007723) (← links)
• A sketched finite element method for elliptic models (Q2180458) (← links)
• Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique (Q2207345) (← links)
• Fast hybrid numerical-asymptotic boundary element methods for high frequency screen and aperture problems based on least-squares collocation (Q2218211) (← links)
• A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations (Q2222281) (← links)
• Sparse identification of truncation errors (Q2222522) (← links)
• Regression based automatic face annotation for deformable model building (Q2276003) (← links)
• Interactive planning and sensing in unknown static environments with task-driven sensor placement (Q2280714) (← links)
• On efficiency of nonmonotone Armijo-type line searches (Q2284837) (← links)
• Accelerated first-order methods for large-scale convex optimization: nearly optimal complexity under strong convexity (Q2311123) (← links)
• Optimal subgradient methods: computational properties for large-scale linear inverse problems (Q2315075) (← links)
• The best approximate solution of the inconsistent linear system via a quadratic penalty function (Q2340813) (← links)
• An optimal subgradient algorithm for large-scale bound-constrained convex optimization (Q2408897) (← links)
• An optimal subgradient algorithm with subspace search for costly convex optimization problems (Q2415906) (← links)
• A rational Arnoldi approach for ill-conditioned linear systems (Q2428121) (← links)
• Solving inverse source problems by the orthogonal solution and kernel correction algorithm (OSKCA) with applications in fluorescence tomography (Q2437923) (← links)
• GARCH modelling of covariance in dynamical estimation of inverse solutions (Q2463143) (← links)
• The numerical rank of a matrix and its applications (Q2474904) (← links)
• Alternating direction method of multipliers for \(\ell_{1}\)-\(\ell_{2}\)-regularized logistic regression model (Q2630840) (← links)
• Optimization-based approach for joint X-ray fluorescence and transmission tomographic inversion (Q2797770) (← links)
• Numerical differentiation from a viewpoint of regularization theory (Q3420235) (← links)
• A wavelet-based method for solving discrete first-kind Fredholm equations with piecewise constant solutions (Q4446663) (← links)
• Stable Likelihood Computation for Gaussian Random Fields (Q4562661) (← links)
• APPROXIMATING SMOOTH, MULTIVARIATE FUNCTIONS ON IRREGULAR DOMAINS (Q5112008) (← links)
• Methods for Modal Model Quality Improvement — Measurement Data Pre-processing for Model Identification Process (part I) (Q5190462) (← links)
• Quasi-boundary value methods for regularizing the backward parabolic equation under the optimal control framework (Q5204630) (← links)
• On the Sensitivity of Singular and Ill-Conditioned Linear Systems (Q5232123) (← links)
• Frames and Numerical Approximation (Q5232350) (← links)