Design and optimization of muffler back pressure

2020 ◽  
Author(s):  
S. Thirumurugaveerakumar
Author(s):  
Taddese Mekonnen Ambay ◽  
Philipp Schick ◽  
Michael Grimm ◽  
Maximilian Sager ◽  
Felix Schneider ◽  
...  

2014 ◽  
Vol 2 ◽  
pp. 78-81
Author(s):  
Nobuaki Aoki ◽  
Noriyoshi Manabe ◽  
Tadafumi Adschiri
Keyword(s):  

2018 ◽  
Vol 13 (2) ◽  
pp. 107
Author(s):  
Flur Ismagilov ◽  
Vajcheslav Vavilov ◽  
Oksana Yushkova ◽  
Vladimir Bekuzin ◽  
Alexey Veselov

Author(s):  
Jaya Pratha Sebastiyar ◽  
Martin Sahayaraj Joseph

Distributed joint congestion control and routing optimization has received a significant amount of attention recently. To date, however, most of the existing schemes follow a key idea called the back-pressure algorithm. Despite having many salient features, the first-order sub gradient nature of the back-pressure based schemes results in slow convergence and poor delay performance. To overcome these limitations, the present study was made as first attempt at developing a second-order joint congestion control and routing optimization framework that offers utility-optimality, queue-stability, fast convergence, and low delay.  Contributions in this project are three-fold. The present study propose a new second-order joint congestion control and routing framework based on a primal-dual interior-point approach and established utility-optimality and queue-stability of the proposed second-order method. The results of present study showed that how to implement the proposed second-order method in a distributed fashion.


Author(s):  
V.F. Kravchenko ◽  
◽  
Yiyang Luo ◽  
V.I. Lutsenko ◽  
◽  
...  

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