LSLQ: An Iterative Method for Linear Least-Squares With an Error Minimization Property

SIAM Journal on Matrix Analysis and Applications - United States
doi 10.1137/17m1113552
Full Text
Abstract

Available in full text

Categories
Analysis
Date
Authors
Publisher

Society for Industrial & Applied Mathematics (SIAM)

Related search

Pruning Error Minimization in Least Squares Support Vector Machines

IEEE Transactions on Neural Networks
2003English

An Evaluation of Linear Least Squares Computer Programs

Journal of Research of the National Bureau of Standards, Section B: Mathematical Sciences
1969English

Experiments on Error Growth Associated With Some Linear Least-Squares Procedures

Mathematics of Computation
Computational MathematicsApplied MathematicsNumber TheoryAlgebra
1968English

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

IEEE Transactions on Signal Processing
Electronic EngineeringSignal ProcessingElectrical
1998English

Least-Norm Linear Programming Solution as an Unconstrained Minimization Problem.

1980English

Least Squares Estimations for the General Linear Model Parameters With Epsilon Skew Normal Error Term

Iraqi Journal of Science
GeneticsMolecular BiologyGeologyBiochemistryComputer ScienceBiotechnologyChemistry
2020English

A Least-Squares/Fictitious Domain Method for Linear Elliptic Problems With Robin Boundary Conditions

Communications in Computational Physics
AstronomyPhysics
2011English

Error Estimates for Least-Squares Mixed Finite Elements

ESAIM: Mathematical Modelling and Numerical Analysis
Numerical AnalysisApplied MathematicsAnalysisSimulationModelingComputational Mathematics
1994English

Preconditioned Iterative Methods for Weighted Toeplitz Least Squares Problems

SIAM Journal on Matrix Analysis and Applications
Analysis
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy