Least squares approximate feedback linearization: a variational approach

2002 ◽  
Author(s):  
A. Banaszuk ◽  
J. Hauser
Keyword(s):  
Least Squares ◽  
Variational Approach ◽  
Feedback Linearization

A modified tangent-gas approximation for two-dimensional steady flow

1958 ◽  
Vol 4 (6) ◽  
pp. 600-606 ◽  
Author(s):  
G. Power ◽  
P. Smith
Keyword(s):  
Least Squares ◽  
Steady Flow ◽  
Variational Approach ◽  
Least Squares Method ◽  
Two Dimensional ◽  
Subsonic Flows ◽  
Von Karman ◽  
Straight Line ◽  
Volume Relationship ◽  
Pressure Volume Relationship

A set of two-dimensional subsonic flows past certain cylinders is obtained using hodograph methods, in which the true pressure-volume relationship is replaced by various straight-line approximations. It is found that the approximation obtained by a least-squares method possibly gives best results. Comparison is made with values obtained by using the von Kármán-Tsien approximation and also with results obtained by the variational approach of Lush & Cherry (1956).

scholarly journals Variational approach to rare event simulation using least-squares regression

2019 ◽  
Vol 29 (6) ◽  
pp. 063107 ◽  
Author(s):  
Carsten Hartmann ◽  
Omar Kebiri ◽  
Lara Neureither ◽  
Lorenz Richter
Keyword(s):  
Least Squares ◽  
Variational Approach ◽  
Rare Event ◽  
Least Squares Regression ◽  
Rare Event Simulation ◽  
Event Simulation

scholarly journals First-order system least squares and the energetic variational approach for two-phase flow

2011 ◽  
Vol 230 (17) ◽  
pp. 6647-6663 ◽  
Author(s):  
J.H. Adler ◽  
J. Brannick ◽  
C. Liu ◽  
T. Manteuffel ◽  
L. Zikatanov
Keyword(s):  
Least Squares ◽  
Variational Approach ◽  
Two Phase Flow ◽  
Order System ◽  
Phase Flow ◽  
Two Phase ◽  
First Order

Heteroscedastic Methods for Performing All Pairwise Comparisons of Regression Lines Associated With J Independent Groups

Methodology ◽  
2015 ◽  
Vol 11 (3) ◽  
pp. 110-115 ◽  
Author(s):  
Rand R. Wilcox ◽  
Jinxia Ma
Keyword(s):  
Least Squares ◽  
Pairwise Comparisons ◽  
Simple Extension ◽  
Type I ◽  
Type I Errors ◽  
Well Elderly ◽  
Using Data

Abstract. The paper compares methods that allow both within group and between group heteroscedasticity when performing all pairwise comparisons of the least squares lines associated with J independent groups. The methods are based on simple extension of results derived by Johansen (1980) and Welch (1938) in conjunction with the HC3 and HC4 estimators. The probability of one or more Type I errors is controlled using the improvement on the Bonferroni method derived by Hochberg (1988) . Results are illustrated using data from the Well Elderly 2 study, which motivated this paper.

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