Preconditioned Iterative Methods for Weighted Toeplitz Least Squares Problems

SIAM Journal on Matrix Analysis and Applications - United States
doi 10.1137/040616048
Full Text
Abstract

Available in full text

Categories
Analysis
Date
Authors
Publisher

Society for Industrial & Applied Mathematics (SIAM)

Related search

Some Iterative Regularized Methods for Highly Nonlinear Least Squares Problems

Mathematical Modeling and Analysis
ModelingAnalysisSimulation
2009English

On Iterative Methods for Solving Nonlinear Least Squares Problems With Operator Decomposition

Application Mathematics and Informatics
2018English

Convexly Constrained Linear Inverse Problems: Iterative Least-Squares and Regularization

IEEE Transactions on Signal Processing
Electronic EngineeringSignal ProcessingElectrical
1998English

A Weighted $H(div)$ Least-Squares Method for Second-Order Elliptic Problems

SIAM Journal on Numerical Analysis
Computational MathematicsApplied MathematicsNumerical Analysis
2008English

Improving Weighted Least Squares Inference

Econometrics and Statistics
UncertaintyEconomicsStatisticsEconometricsProbability
2019English

Density Weighted Linear Least Squares

2005English

On the Solution of Constrained and Weighted Linear Least Squares Problems

International Mathematical Forum
2006English

Algorithms for Nonlinear Least-Squares Problems

1988English

Partitioning Sparse Matrices for Parallel Preconditioned Iterative Methods

SIAM Journal of Scientific Computing
Computational MathematicsApplied Mathematics
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy