By Christos Zaroliagis, Grammati Pantziou, Spyros Kontogiannis

ISBN-10: 3319240234

ISBN-13: 9783319240237

ISBN-10: 3319240242

ISBN-13: 9783319240244

This Festschrift quantity is released in honor of Professor Paul G. Spirakis at the celebration of his 60^{th} birthday. It celebrates his major contributions to computing device technological know-how as an eminent, proficient, and influential researcher and such a lot visionary concept chief, with a good expertise in inspiring and guiding younger researchers.

The ebook is a mirrored image of his major study actions within the fields of algorithms, chance, networks, and video games, and encompasses a biographical caricature in addition to essays and learn contributions from shut collaborators and previous PhD students.

**Read or Download Algorithms, Probability, Networks, and Games: Scientific Papers and Essays Dedicated to Paul G. Spirakis on the Occasion of His 60th Birthday PDF**

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**Additional info for Algorithms, Probability, Networks, and Games: Scientific Papers and Essays Dedicated to Paul G. Spirakis on the Occasion of His 60th Birthday**

**Example text**

Synthesis Lectures on Distributed Computing Theory. Morgan & Claypool Publishers, San Rafael (2011) 55. : Mediated population protocols. Theor. Comput. Sci. 412(22), 2434–2450 (2011) 56. : Naming and counting in anonymous unknown dynamic networks. , Yamashita, M. ) SSS 2013. LNCS, vol. 8255, pp. 281–295. Springer, Heidelberg (2013) 57. : Causality, inﬂuence, and computation in possibly disconnected synchronous dynamic networks. J. Parallel Distrib. Comput. 74(1), 2016–2026 (2014) 58. : Computing in dynamic networks.

2 The equilibrium stability implies equality between the expected payoﬀs of a ﬁrm f for participating and for not participating: (v − c) · Pr{at least 1 other participates |f participates} − (2) c Pr{no other ﬁrm participates |f participates} = v Pr{at least 2 other ﬁrms participate |f does not} + 0 · Pr{at most 1 other ﬁrm participates |f does not} Equation (2) deﬁnes the equilibrium’s probability p. Thus, the veriﬁer can verify Eq. (2) by computing Eq. (3). (v − c) · A + (−c) · B = v · C + 0 · D, (3) where A = Pr{at least 1 other firm participates | f participates} = 1 − (1 − p)n−1 B = Pr{no other firm participates | f participates} = (1 − p)n−1 C = Pr{at least 2 other participate | f does not} = 1 − (1 − p)n−1 − (n − 1)p(1 − p)n−2 D = Pr{at most 1 other participates | f does not} = (1 − p)n−1 + (n − 1)p(1 − p)n−2 In fact, our simple example deﬁnes an easier job for the veriﬁer since Eq.

Technical report, The IETF Trust (2007) 6. : A comparative study of protocols for eﬃcient data propagation in smart dust networks. , Hellwagner, H. ) Euro-Par 2003. LNCS, vol. 2790, pp. 1003–1016. Springer, Heidelberg (2003) 7. : A comparative study of protocols for eﬃcient data propagation in smart dust networks. Parallel Process. Lett. 13(4), 615–627 (2003) 8. : Passively mobile communicating machines that use restricted space. Theor. Comput. Sci. 412(46), 6469–6483 (2011) 9. : An experimental study of basic communication protocols in ad-hoc mobile networks.

### Algorithms, Probability, Networks, and Games: Scientific Papers and Essays Dedicated to Paul G. Spirakis on the Occasion of His 60th Birthday by Christos Zaroliagis, Grammati Pantziou, Spyros Kontogiannis

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