scholarly journals Mesoscale simulations of particulate flows with parallel distributed Lagrange multiplier technique

2011 ◽  
Vol 48 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Y. Kanarska ◽  
I. Lomov ◽  
T. Antoun
Keyword(s):  
Lagrange Multiplier ◽  
Particulate Flows ◽  
Lagrange Multiplier Technique ◽  
Mesoscale Simulations

A distributed Lagrange multiplier/fictitious domain method for viscoelastic particulate flows

2000 ◽  
Vol 91 (2-3) ◽  
pp. 165-188 ◽  
Author(s):  
P. Singh ◽  
D.D. Joseph ◽  
T.I. Hesla ◽  
R. Glowinski ◽  
T.-W. Pan
Keyword(s):  
Lagrange Multiplier ◽  
Fictitious Domain ◽  
Particulate Flows ◽  
Fictitious Domain Method ◽  
Domain Method

scholarly journals A XFEM Lagrange Multiplier Technique for Stefan Problems

2016 ◽  
Vol 7 ◽  
Author(s):  
Dave Martin ◽  
Hicham Chaouki ◽  
Jean-Loup Robert ◽  
Mario Fafard ◽  
Donald Ziegler
Keyword(s):  
Lagrange Multiplier ◽  
Stefan Problems ◽  
Lagrange Multiplier Technique

Performance Analysis and Optimization of Annular Fin With a Step Change in Thickness

2000 ◽  
Vol 123 (3) ◽  
pp. 601-604 ◽  
Author(s):  
B. Kundu ◽  
P. K. Das
Keyword(s):  
Heat Transfer ◽  
Temperature Distribution ◽  
Performance Analysis ◽  
Optimum Design ◽  
Lagrange Multiplier ◽  
Step Change ◽  
Annular Fin ◽  
Lagrange Multiplier Technique ◽  
Annular Disc ◽  
Fin Length

The temperature distribution in a concentric annular fin with a step change in thickness (AFST) has been obtained analytically. The optimum design of such fins has been performed using Lagrange multiplier technique considering either the fin volume or the rate of heat transfer as the constraint. It has been demonstrated that the optimum AFSTs transfer more heat compared to optimum annular disc fins for a given fin volume as well as for given fin volume and fin length.

On Certain Least-Squares Synthesis Methods Misconceptions

1979 ◽  
Vol 101 (1) ◽  
pp. 47-50 ◽  
Author(s):  
G. H. Sutherland
Keyword(s):  
Least Squares ◽  
Lagrange Multiplier ◽  
Numerical Results ◽  
Synthesis Methods ◽  
Linear Superposition ◽  
Synthesis Techniques ◽  
Lagrange Multiplier Technique ◽  
False Premise

This paper shows a fundamental flaw in previously published linear superposition least-squares synthesis techniques. These techniques have the desirable noniteration characteristic. However, this paper shows, by a reformulation of the method, that they are based on a false premise. Numerical results bear this out. A Lagrange-multiplier technique is suggested as a superior alternative.

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