Pages that link to "Item:Q4376214"
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The following pages link to Regularization by Truncated Total Least Squares (Q4376214):
Displaying 35 items.
- Model selection criteria for a linear model to solve discrete ill-posed problems on the basis of singular decomposition and random projection (Q333589) (← links)
- Efficient determination of the hyperparameter in regularized total least squares problems (Q436016) (← links)
- Reconstruction of spectral function from effective permittivity of a composite material using rational function approximations (Q834089) (← links)
- A parameter estimation method for model analysis (Q854450) (← links)
- Level choice in truncated total least squares (Q1020912) (← links)
- A total least squares method for Toeplitz systems of equations (Q1272882) (← links)
- Regularization, GSVD and truncated GSVD (Q1824353) (← links)
- A weighted view on the partial least-squares algorithm (Q1977038) (← links)
- Efficient local search procedures for quadratic fractional programming problems (Q1986108) (← links)
- An efficient Gauss-Newton algorithm for solving regularized total least squares problems (Q2116040) (← links)
- Approximation accuracy of the Krylov subspaces for linear discrete ill-posed problems (Q2306411) (← links)
- Randomized core reduction for discrete ill-posed problem (Q2309262) (← links)
- Statistical paleoclimate reconstructions via Markov random fields (Q2349575) (← links)
- Regularized robust optimization: the optimal portfolio execution case (Q2376119) (← links)
- Rational approximation for estimation of quality \(Q\) factor and phase velocity in linear, viscoelastic, isotropic media (Q2430873) (← links)
- Regularization parameter estimation for large-scale Tikhonov regularization using a priori information (Q2445799) (← links)
- Tikhonov regularization for weighted total least squares problems (Q2463930) (← links)
- Regularized total least squares based on quadratic eigenvalue problem solvers (Q2566641) (← links)
- The regularizing effect of the Golub-Kahan iterative bidiagonalization and revealing the noise level in the data (Q2655224) (← links)
- Ill-conditioning of the truncated singular value decomposition, Tikhonov regularization and their applications to numerical partial differential equations. (Q2889380) (← links)
- A model function method in regularized total least squares (Q3058423) (← links)
- Padé approximations for identification of air bubble volume from temperature- or frequency-dependent permittivity of a two-component mixture (Q4908321) (← links)
- A Novel Method for Load Bounds Identification for Uncertain Structures in Frequency Domain (Q4962547) (← links)
- Estimating the Nonparametric Regression Function by Using Padé Approximation Based on Total Least Squares (Q4985163) (← links)
- Regularization in ultrasound tomography using projection-based regularized total least squares (Q4991471) (← links)
- Implicit iterative algorithm for solving regularized total least squares problems (Q5039298) (← links)
- Truncation level selection in nonparametric regression using Padé approximation (Q5082566) (← links)
- Regularization properties of LSQR for linear discrete ill-posed problems in the multiple singular value case and best, near best and general low rank approximations (Q5117399) (← links)
- Condition Numbers of the Multidimensional Total Least Squares Problem (Q5358299) (← links)
- Acoustic Scattering Field Reconstruction Using Truncated Total Least Square Algorithm (Q6120489) (← links)
- Regularized TLS-EM for estimating missing data (Q6192341) (← links)
- Unsupervised learning of observation functions in state space models by nonparametric moment methods (Q6194475) (← links)
- Quantum-inspired algorithm for truncated total least squares solution (Q6582001) (← links)
- Regularized and structured tensor total least squares methods with applications (Q6614698) (← links)
- RandONets: shallow networks with random projections for learning linear and nonlinear operators (Q6648362) (← links)
