A “Cramer rule” for the least-norm, least-squared-error solution of inconsistent linear equations

Least Squares Solutions of Inconsistent Fuzzy Linear Matrix Equations

least squares solutions of inconsistent fuzzy linear matrix equations

0

least squares solutions of inconsistent fuzzy linear matrix equations

The L Norm Error Estimate for the Div-curl Least-squares Method for 3d-stokes Equations

This paper studies L2 norm error estimate for the div-curl leastsquares finite element method for Stokes equations with homogenous velocity boundary condition. The analysis using a different way from that in [11] shows that, without the divergence of the vorticity, the L2 norm error bound of the velocity is O(h 3 2 ) in the standard linear element method. AMS Subject Classification: 65N30

Preprocessing in matlab inconsistent linear system for a meaningful least squares solution

Mathematical models of many physical/statistical problems are systems of linear equations. Due to measurement and possible human errors/mistakes in modeling/data, as well as due to certain assumptions to reduce complexity, inconsistency (contradiction) is injected into the model, viz. the linear system. While any inconsistent system irrespective of the degree of inconsistency has always a least...