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This book constitutes the joint refereed proceedings of the 4th International Workshop on Approximation Algorithms for Optimization Problems, APPROX 2001 and of the 5th International Workshop on Ranomization and Approximation Techniques in Computer Science, RANDOM 2001, held in Berkeley, California, USA in August 2001. The 26 revised full papers presented were carefully reviewed and selected from a total of 54 submissions. Among the issues addressed are design and analysis of approximation algorithms, inapproximability results, on-line problems, randomization, de-randomization, average-case analysis, approximation classes, randomized complexity theory, scheduling, routing, coloring, partitioning, packing, covering, computational geometry, network design, and applications in various fields.
proceedings of the symposium. Somecontributorswereunabletoattendthe event.
This book deals with theories of multiple-task performance and focuses on learning and performance. It is primarily for professionals in human factors, psychology, or engineering who are interested in multiple-task performance but have no formal training in the area.
This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000OCo2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, OC Algorithms and ComplexityOCO and OC Formal Models and SemanticsOCO, reflecting the traditional division of the field. The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science. Contents: Vol 1: Algorithms; Computational Complexity; Distributed Computing; Natural Computing; Vol 2: Formal Specification; Logic in Computer Science; Concurrency; Formal Language Theory. Readership: Upper level undergraduates, graduate students and researchers in theoretical computer science and biocomputing."
An expansion of the 1979 edition, which covered 1941-56, examining the recent shift of power in the politics of the interstate-and-defense system, from the national to the local level, and from scientific to political elites. Annotation copyrighted by Book News, Inc., Portland, OR
This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic algorithms, GA and PSO and how they can be applied to problems like hardware/software partitioning in embedded systems, circuit partitioning in VLSI, design of operational amplifiers in analog VLSI, design space exploration in high-level synthesis, delay fault testing in VLSI testing and scheduling in heterogeneous distributed systems. It is shown how, in each case, the various aspects of the EA, namely its representation and operators like crossover, mutation, etc, can be separately formulated to solve these problems. This book is intended for design engineers and researchers in the field of VLSI and embedded system design. The book introduces the multi-objective GA and PSO in a simple and easily understandable way that will appeal to introductory readers.
This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Studies of Japanese syntax have played a central role in the long history of Japanese linguistics spanning more than 250 years in Japan and abroad. More recently, Japanese has been among the languages most intensely studied within modern linguistic theories such as Generative Grammar and Cognitive/Functional Linguistics over the past fifty years. This volume presents a comprehensive survey of Japanese syntax from these three research strands, namely studies based on the traditional research methods developed in Japan, those from broader functional perspectives, and those couched in the generative linguistics framework. The twenty-four studies contained in this volume are characterized by a detailed analysis of a grammatical phenomenon with broader implications to general linguistics, making the volume attractive to both specialists of Japanese and those interested in learning about the impact of Japanese syntax to the general study of language. Each chapter is authored by a leading authority on the topic. Broad issues covered include sentence types (declarative, imperative, etc.) and their interactions with grammatical verbal categories (modality, polarity, politeness, etc.), grammatical relations (topic, subject, etc.), transitivity, nominalizations, grammaticalization, word order (subject, scrambling, numeral quantifier, configurationality), case marking (ga/no conversion, morphology and syntax), modification (adjectives, relative clause), and structure and interpretation (modality, negation, prosody, ellipsis). Chapter titles Introduction Chapter 1. Basic structures of sentences and grammatical categories, Yoshio Nitta, Kansai University of Foreign Studies Chapter 2: Transitivity, Wesley Jacobsen, Harvard University Chapter 3: Topic and subject, Takashi Masuoka, Kobe City University of Foreign Studies Chapter 4: Toritate: Focusing and defocusing of words, phrases, and clauses, Hisashi Noda, National Institute for Japanese Language and Linguistics Chapter 5: The layered structure of the sentence, Isao Iori, Hitotsubashi University Chapter 6. Functional syntax, Ken-Ichi Takami, Gakushuin University; and Susumu Kuno, Harvard University Chapter 7: Locative alternation, Seizi Iwata, Osaka City University Chapter 8: Nominalizations, Masayoshi Shibatani, Rice University Chapter 9: The morphosyntax of grammaticalization, Heiko Narrog, Tohoku University Chapter 10: Modality, Nobuko Hasegawa, Kanda University of International Studies Chapter 11: The passive voice, Tomoko Ishizuka, Tama University Chapter 12: Case marking, Hideki Kishimoto, Kobe University Chapter 13: Interfacing syntax with sounds and meanings, Yoshihisa Kitagawa, Indiana University Chapter 14: Subject, Masatoshi Koizumi, Tohoku University Chapter 15: Numeral quantifiers, Shigeru Miyagawa, MIT Chapter 16: Relative clauses, Yoichi Miyamoto, Osaka University Chapter 17: Expressions that contain negation, Nobuaki Nishioka, Kyushu University Chapter 18: Ga/No conversion, Masao Ochi, Osaka University Chapter 19: Ellipsis, Mamoru Saito, Nanzan University Chapter 20: Syntax and argument structure, Natsuko Tsujimura, Indiana University Chapter 21: Attributive modification, Akira Watanabe, University of Tokyo Chapter 22: Scrambling, Noriko Yoshimura, Shizuoka Prefectural University