Annals of natural disasters have always caused common interest. Scientists and specialists of various domains, teachers, students, post-graduates, journalists .. and merely inquisitive can find useful and didactic information in such annals~ Sad experience of the natural disasters endured gives very important material for humanity. It allows us not only to understand better the phenomenon itself, but also to prepare ourselves for future cataclysms, which our "Mother-Nature" is so rich in. The book by Sergey Soloviev and a group of his collaborators represents a detailed description of tsunami waves and accompanying phenomena in the Mediterranean Sea over a period of approximately four thousand years. Sergey Soloviev, the founder and recognised leader of the Russian scientific school of tsunami researchers, was unable to see the publication of this book, passing away on March 9, 1994. However, his ample experience in investigation and systematisation of tsunami waves for the Pacific area [Soloviev and Go, 1974, 1975; Soloviev, Go and Kim, 1986] has been widely used in compiling this book. The Mediterranean coasts are the cradle of civilisation. Written accounts of past disasters in this region of the Earth are rather numerous and highly reliable. Therefore the results of the tsunami study in the Mediterranean Sea are of specific value both for the scientific community and for humanity at large.
The aim of these lecture notes is to provide a self-contained exposition of several fascinating formulas discovered by Srinivasa Ramanujan. Two central results in these notes are: (1) the evaluation of the Rogers-Ramanujan continued fraction — a result that convinced G H Hardy that Ramanujan was a “mathematician of the highest class”, and (2) what G. H. Hardy called Ramanujan's “Most Beautiful Identity”. This book covers a range of related results, such as several proofs of the famous Rogers-Ramanujan identities and a detailed account of Ramanujan's congruences. It also covers a range of techniques in q-series.
Why and how has civic engagement emerged in the policy process of Hong Kong as an Asian semi-democratic state? This book attempts to answer this question through examining six cases that straddle diverse policy domains. It identifies three explanatory factors, namely, the profile of a policy domain, the structure of societal interest, and the strength of the civil society sector as important in shaping the state’s strategy in managing society, hence its propensity to engage. These factors affect the outcome through dynamic interaction between the state and societal actors. The findings outlined in the book show that the development of civic engagement in Hong Kong consists of both society-led and state-led cases. Society-led development brought about a high degree of openness and inclusiveness, whereas state-led civic engagement practices tended to be tactics utilized by the state for appeasing or depoliticizing civil society. Compared with other Asian regimes, the use of ‘transgressive contention’ as a way to compel the state to engage society is a feature that stands out in the liberal autocratic regime in Hong Kong.
The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach introduces jumping gene algorithms designed to supply adequate, viable solutions to multiobjective problems quickly and with low computational cost. Better Convergence and a Wider Spread of Nondominated Solutions The book begins with a thorough review of state-of-the-art multiobjective optimization techniques. For readers who may not be familiar with the bioscience behind the jumping gene, it then outlines the basic biological gene transposition process and explains the translation of the copy-and-paste and cut-and-paste operations into a computable language. To justify the scientific standing of the jumping genes algorithms, the book provides rigorous mathematical derivations of the jumping genes operations based on schema theory. It also discusses a number of convergence and diversity performance metrics for measuring the usefulness of the algorithms. Practical Applications of Jumping Gene Algorithms Three practical engineering applications showcase the effectiveness of the jumping gene algorithms in terms of the crucial trade-off between convergence and diversity. The examples deal with the placement of radio-to-fiber repeaters in wireless local-loop systems, the management of resources in WCDMA systems, and the placement of base stations in wireless local-area networks. Offering insight into multiobjective optimization, the authors show how jumping gene algorithms are a useful addition to existing evolutionary algorithms, particularly to obtain quick convergence solutions and solutions to outliers.
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