Damages Claims for the Infringement of Competition Law provides a discussion of the emerging field of competition law damages and explores the important questions it raises about the use of the traditional tort law categories in an area of law that is heavily infused with economic analysis. The book combines a corrective justice perspective with an empirical and theoretical analysis of the practice of competition law damages in various jurisdictions in Europe. Rather than adopting the traditional economic analysis of law approach, the authors respect the autonomy of the fields of law and economics, while attempting to identify the areas of conflict that may emerge when economic concepts and categories are integrated in the legal system.
A survey of the Samizdat Archive of the Institute of Eastern Europe in Bremen. Introductory texts and annotated catalogue.
Der Sammelband vereint herausragende Beiträge der Konferenz Welt und Wissenschaft 2017 an der National Research University Higher School of Economics in Moskau.
The study analyzes the genesis of the modern attitude towards spelling and spelling mistakes in Germany and in Russia in the nineteenth century, showing that both the spelling norms and the relevance of their violation are social constructions to do with major developments of the time such as industrialization, political reaction, proliferation of literacy and mass schooling, and introduction of exams and grading as means to check the upward social mobility via education.
The “Data Analytics and Management in Data Intensive Domains” conference (DAMDID) traditionally is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research, promoting cooperation and exchange of ideas in the area of data analysis and management in domains driven by data intensive research. Approaches to data analysis and management being developed in specific data intensive domains (DID) of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business constitute the universe of the conference discourse. DAMDID conference was formed in 2015 as a result of transformation of the RCDL conference (“Digital libraries: advanced methods and technologies, digital collections”, http://rcdl.ru) so that the continuity with RCDL has been preserved after many years of its successful work.
We study synchronization aspects in parallel discrete event simulation (PDES) algorithms. Our analysis is based on the recently introduced model of virtual times evolution in an optimistic synchronization algorithm. This model connects synchronization aspects with the properties of the profile of the local virtual times. The main parameter of the model is a “growth rate” q = 1/(1 + b), where b is a mean rollback length. We measure the average utilization of events and the desynchronization between logical processes as functions of the parameter q. We found that there is a phase transition between an “active phase”, i.e. when the utilization of the average processing time is finite, and an “absorbing state” with zero utilization, vanishing at a critical point qc ≈ 0.136. The average desynchronization degree (i.e. the vari- ance of local virtual times) grows with the parameter q. We also investi- gate the influence of the sparse distant communications between logical processes and found that they do not change drastically the synchronization properties in the optimistic synchronization algorithm, which is the sharp contrast with the conservative algorithm . Finally, we compare our results with the existing case-study simulations.
This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.
The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.
Data Correcting Algorithms in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems.
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.
Doctoral students were invited to the Doctoral Consortium held in conjunction with the main conference of ECIR 2013. The Doctoral Consortium aimed to provide a constructive setting for presentations and discussions of doctoral students’ research projects with senior researchers and other participating students. The two main goals of the Doctoral Consortium were: 1) to advise students regarding current critical issues in their research; and 2) to make students aware of the strengths and weakness of their research as viewed from different perspectives. The Doctoral Consortium was aimed for students in the middle of their thesis projects; at minimum, students ought to have formulated their research problem, theoretical framework and suggested methods, and at maximum, students ought to have just initiated data analysis. The Doctoral Consortium took place on Sunday, March 24, 2013, at the ECIR 2013 venue, and participation is by invitation only. The format was designed as follows: The doctoral students presents summaries of their work to other participating doctoral students and the senior researchers. Each presentation was followed by a plenary discussion, and individual discussion with one senior advising researcher. The discussions in the group and with the advisors were intended to help the doctoral student to reflect on and carry on with their thesis work.
The book presents a brief summary of the scientific research on deep decarbonization of 16 largest economies by 2050.