interior methods
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2019 ◽  
Vol 33 (27) ◽  
pp. 1950324
Author(s):  
Xianwen Meng ◽  
Yuan Li ◽  
Ling Shen

Water permeation across a carbon nanotube is important in carbon-based nanodevices. Water transfer rate is closely related to the radius of a carbon nanotube. It is hard to change water transfer rate by interior methods once the radius of the entrance of a carbon nanotube is chosen. In this paper, water transfer across a tandem carbon nanotube with a separation is investigated by molecular dynamics simulations. We find that water transfer rate experiences two different transfer behaviors: an increasing behavior and a decreasing behavior by changing the separation length. The result is important in designing a controllable carbon-based nanodevice.





2013 ◽  
Vol 28 (5) ◽  
pp. 1051-1080 ◽  
Author(s):  
Paul Armand ◽  
Joël Benoist ◽  
Dominique Orban


2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Aiqun Huang ◽  
Chengxian Xu

When using interior methods for solving semidefinite programming (SDP), one needs to solve a system of linear equations at each iteration. For problems of large size, solving the system of linear equations can be very expensive. In this paper, based on a semismooth equation reformulation using Fischer's function, we propose a filter method with trust region for solving large-scale SDP problems. At each iteration we perform a number of conjugate gradient iterations, but do not need to solve a system of linear equations. Under mild assumptions, the convergence of this algorithm is established. Numerical examples are given to illustrate the convergence results obtained.



2011 ◽  
Vol 52 (1) ◽  
pp. 209-238 ◽  
Author(s):  
Paul Armand ◽  
Joël Benoist ◽  
Jean-Pierre Dussault


2009 ◽  
Vol 19 (4) ◽  
pp. 1674-1693 ◽  
Author(s):  
Jorge Nocedal ◽  
Andreas Wächter ◽  
Richard A. Waltz
Keyword(s):  


2007 ◽  
Vol 18 (2) ◽  
pp. 666-690 ◽  
Author(s):  
Anders Forsgren ◽  
Philip E. Gill ◽  
Joshua D. Griffin


2006 ◽  
Vol 17 (1) ◽  
pp. 52-77 ◽  
Author(s):  
Sven Leyffer ◽  
Gabriel López-Calva ◽  
Jorge Nocedal


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