homotopy algorithms
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2019 ◽  
Vol 29 (12) ◽  
pp. 4485-4506 ◽  
Author(s):  
Salman Ahmad ◽  
Muhammad Ijaz Khan ◽  
Tasawar Hayat ◽  
Muhammad Waqas ◽  
Ahmed Alsaedi

Purpose The purpose of this paper is to study entropy generation in magneto-Jeffrey nanomaterial flow by impermeable moving boundary. Adopted nanomaterial model accounts Brownian and thermophoretic diffusions. Modeling is arranged for thermal radiation, nonlinear convection and viscous dissipation. In addition, the concept of Arrhenius activation energy associated with chemical reaction are introduced for description of mass transportation. Design/methodology/approach Homotopy algorithms are used to compute the system of ordinary differential equations. Findings The afore-stated analysis clearly notes that simultaneous aspects of activation energy and entropy generation are not yet investigated. Therefore, the intention here is to consider such effects to formulate and investigate the magneto-Jeffrey nanoliquid flow by impermeable moving surface. Originality/value As per the authors’ knowledge, no such work has yet been published in the literature.


2015 ◽  
Vol 51 (3) ◽  
pp. 1902-1915 ◽  
Author(s):  
Fernando G. Almeida Neto ◽  
Rodrigo C. De Lamare ◽  
Vitor H. Nascimento ◽  
Yuriy V. Zakharov
Keyword(s):  

2011 ◽  
Vol 58 (4) ◽  
pp. 529-543 ◽  
Author(s):  
Björn S. Rüffer ◽  
Fabian R. Wirth

2004 ◽  
Vol 4 (3) ◽  
pp. 226-234 ◽  
Author(s):  
Hai-Jun Su ◽  
J. Michael McCarthy ◽  
Layne T. Watson

In this paper, we apply a homotopy algorithm to the problem of finding points in a moving body that lie on specific algebraic surfaces for a given set of spatial configurations of the body. This problem is a generalization of Burmester’s determination of points in a body that lie on a circle for five planar positions. We focus on seven surfaces that we term “reachable” because they correspond to serial chains with two degree-of-freedom positioning structures combined with a three degree-of-freedom spherical wrist. A homotopy algorithm based on generalized linear products is used to provide a convenient estimate of the number of solutions of these polynomial systems. A parallelized version of this algorithm was then used to numerically determine all of the solutions.


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