A novel cost function for heuristic-based design of compact antennas

Author(s):  
A. Muscat
2012 ◽  
Vol 74 (null) ◽  
pp. 35-46
Author(s):  
박선영 ◽  
Chongwon Kim ◽  
Seung-Hoon Yoo

2019 ◽  
Vol 12 (2) ◽  
pp. 86-92

During the last years, the growth of transactions made through credit and debit cards has presented quite signif- icant increases both in number and in amounts. This paper studies the existence of economies of scale in the pro- cessing of such transactions, a situation that would exist if it were compatible with the existence of a single firm destined to the processing of said operations. The existence of a single firm for processing is not in itself a problem per se, which does generate problems for the competition is the structure of said firm, because for the period of time analyzed, its shareholder composition was composed of The main banks that issue these cards, but also have given them the function of being the acquirer of the merchants for these payment methods, which generates a vertically inte- grated structure, which creates competition problems in the market. After estimating the model indirectly from a cost function, this work determines the existence of economies of scale in the industry.


Author(s):  
Sang-Chan Moon ◽  
◽  
Soon-Geul Lee ◽  
Ihn-Sik Weon ◽  
◽  
...  

1962 ◽  
Vol 35 (3) ◽  
pp. 235 ◽  
Author(s):  
Jack Hirshleifer
Keyword(s):  

Author(s):  
Tobias Harks ◽  
Anja Schedel

AbstractWe study a Stackelberg game with multiple leaders and a continuum of followers that are coupled via congestion effects. The followers’ problem constitutes a nonatomic congestion game, where a population of infinitesimal players is given and each player chooses a resource. Each resource has a linear cost function which depends on the congestion of this resource. The leaders of the Stackelberg game each control a resource and determine a price per unit as well as a service capacity for the resource influencing the slope of the linear congestion cost function. As our main result, we establish existence of pure-strategy Nash–Stackelberg equilibria for this multi-leader Stackelberg game. The existence result requires a completely new proof approach compared to previous approaches, since the leaders’ objective functions are discontinuous in our game. As a consequence, best responses of leaders do not always exist, and thus standard fixed-point arguments á la Kakutani (Duke Math J 8(3):457–458, 1941) are not directly applicable. We show that the game is C-secure (a concept introduced by Reny (Econometrica 67(5):1029–1056, 1999) and refined by McLennan et al. (Econometrica 79(5):1643–1664, 2011), which leads to the existence of an equilibrium. We furthermore show that the equilibrium is essentially unique, and analyze its efficiency compared to a social optimum. We prove that the worst-case quality is unbounded. For identical leaders, we derive a closed-form expression for the efficiency of the equilibrium.


Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 151
Author(s):  
Michele Flammini ◽  
Gianpiero Monaco ◽  
Luca Moscardelli ◽  
Mordechai Shalom ◽  
Shmuel Zaks

All-optical networks transmit messages along lightpaths in which the signal is transmitted using the same wavelength in all the relevant links. We consider the problem of switching cost minimization in these networks. Specifically, the input to the problem under consideration is an optical network modeled by a graph G, a set of lightpaths modeled by paths on G, and an integer g termed the grooming factor. One has to assign a wavelength (modeled by a color) to every lightpath, so that every edge of the graph is used by at most g paths of the same color. A lightpath operating at some wavelength λ uses one Add/Drop multiplexer (ADM) at both endpoints and one Optical Add/Drop multiplexer (OADM) at every intermediate node, all operating at a wavelength of λ. Two lightpaths, both operating at the same wavelength λ, share the ADMs and OADMs in their common nodes. Therefore, the total switching cost due to the usage of ADMs and OADMs depends on the wavelength assignment. We consider networks of ring and path topology and a cost function that is a convex combination α·|OADMs|+(1−α)|ADMs| of the number of ADMs and the number of OADMs deployed in the network. We showed that the problem of minimizing this cost function is NP-complete for every convex combination, even in a path topology network with g=2. On the positive side, we present a polynomial-time approximation algorithm for the problem.


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