Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory with recent advances in studying stochastic networks. Exploring a broad range of applications, the book contains plenty of solved problems, exercises, case studies, paradoxes, and numerical examples. In addition to the standard single-station and single class discrete queues, the book discusses models for multi-class queues and queueing networks as well as methods based on fluid scaling, stochastic fluid flows, continuous parameter Markov processes, and quasi-birth-and-death processes, to name a few. It describes a variety of applications including computer-communication networks, information systems, production operations, transportation, and service systems such as healthcare, call centers and restaurants.
General Awareness Mathematical Aptitude Fundamentals of Computers Includes 5 Practice Sets Soldier General Duty is one of the branches of the Indian Army. It is mainly in charge of directing military operations which are based on land. For the recruitment to Soldier General Duty, the Indian Army conducts an examination called the Indian Army Soldier NER General Duty (GD) Recruitment Examination which is generally held four times a year and is advertised in the Employment News and other leading dailies. The recruitment is done on the basis of a written test which consists of General Awareness, Mathematical Aptitude and Fundamentals of Computers. This book has been divided into four parts • General Awareness • Mathematical Aptitude • Fundamentals of Computers • 5 Practice Sets Each chapter contains plenty of solved problems and exercises based on the questions of previous examinations along with hints and solutions of the practice sets for practice and revision of the candidates. DR. (CDR) N K NATARAJAN has an experience of over 25 years in the Indian Navy, and a three year stint as a Group Testing Officer at the Selection Center in Bhopal. In addition to serving in the army, he also holds a degree in management and a doctorate in psychology. He has helped assess more than 1500 candidates during his term as a selection officer.
India has a rich literary assemblage produced by its many different regional traditions, religious faiths, ethnic subcultures and linguistic groups. The published literature of the 20th century is a particularly interesting subject and is the focus of this book, as it represents the provocative conjuncture of the transitions of Indian modernity. This reference book surveys the major regional literatures of contemporary India in the context of the country's diversity and heterogeneity. Chapters are devoted to particular regions, and the arrangement of the work invites comparisons of literary traditions. Chapters provide extensive bibliographies of primary works, thus documenting the creative achievement of numerous contemporary Indian authors. Some chapters cite secondary works as well, and the volume concludes with a list of general works providing further information. An introductory essay overviews theoretical concerns, ideological and aesthetic considerations, developments in various genres, and the history of publishing in regional literatures. The introduction provides a context for approaching the chapters that follow, each of which is devoted to the literature of a particular region. Each chapter begins with a concise introductory section. The body of each chapter is structured according to social and historical events, literary forms, or broad descriptive or analytic trends, depending on the particular subject matter. Each chapter then closes with an extensive bibliography of primary works, thus documenting the rich literary tradition of the region. Some chapters also cite secondary sources as an aid to the reader. The final chapters of the book address special topics, such as sub-cultural literatures, or the interplay between literature and film. A list of additional sources of general information concludes the volume.
An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.
This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions that allow for adaptation to different models and real world applications. The models are highly attractive due to their compactness and comprehensibility but learning their structure is computationally intensive. To combat this problem, the authors review the use of functional gradients for boosting the structure and the parameters of statistical relational models. The algorithms have been applied successfully in several SRL settings and have been adapted to several real problems from Information extraction in text to medical problems. Including both context and well-tested applications, Boosting Statistical Relational Learning from Benchmarks to Data-Driven Medicine is designed for researchers and professionals in machine learning and data mining. Computer engineers or students interested in statistics, data management, or health informatics will also find this brief a valuable resource.
Conflict has resurfaced on the china India border. the framework that had prevailed from 19988 to proceed with deep engagement which the boarder issued lay unresolved has come to an end. The events of Doklam and Ladakh are not the end of this story. India now faces the process of a hostile relationship with China. This is not just hostile relationship with China. This is not Just a problem of sending troops to leach this is a problem that will paly out on the strategic scale. it is difficulty for India to navigate these waters as China is substantially ahead of India in many aspects.
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