Bøger af David Harel

Können Computer alles? Wenn es so wäre, gäbe es dieses Buch nicht. Es beweist bestechend logisch, dass selbst die größten, schnellsten, intelligentesten und teuersten Computer der Welt nur beschränkt leistungsfähig sind. Der Mensch kann noch so viel Geld, Zeit und Know-how investieren, es gibt Computer-Probleme, die er niemals lösen wird. Eine beunruhigende, provokative Botschaft - und doch: wussten wir es nicht eigentlich schon, haben es aber nie wirklich glauben wollen? Der bekannte Computer-Wissenschaftler David Harel vermittelt die mathematischen Fakten spannend, unterhaltsam und allgemeinverständlich. Mit der Beschränktheit des Computers werden wir an die Grenzen allen Wissens geführt. Grenzen, die den Menschen beflügeln, das Mögliche weiter zu verbessern und selbst aus dem Unmöglichen Nutzen zu ziehen. Eine brillante tour de force mit überraschenden Aspekten, die den Leser - ob vorgebildeter Laie oder Fachkundiger - von der ersten bis zur letzten Seite fesselt.

A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level. The field is concerned with the interactions between computer science on the one hand and biology, chemistry, and DNA-oriented nanoscience on the other. In particular, this book offers a comprehensive overview of research into algorithmic self-assembly, RNA folding, the algorithmic foundations for biochemical reactions, and the algorithmic nature of developmental processes.The editors of the book invited 36 chapters, written by the leading researchers in this area, and their contributions include detailed tutorials on the main topics, surveys of the state of the art in research, experimental results, and discussions of specific research goals. The main subjects addressed are sequence discovery, generation, and analysis; nanoconstructions and self-assembly; membrane computing; formal models and analysis; process calculi and automata; biochemical reactions; and other topics from natural computing, including molecular evolution, regulation of gene expression, light-based computing, cellular automata, realistic modelling of biological systems, and evolutionary computing. This subject is inherently interdisciplinary, and this book will be of value to researchers in computer science and biology who study the impact of the exciting mutual interaction between our understanding of bioprocesses and our understanding of computation.

This book constitutes the refereed proceedings of the 14th International Conference on Model Driven Engineering Languages and Systems, MODELS 2011, held in Wellington, New Zealand, in October 2011. The papers address a wide range of topics in research (foundations track) and practice (applications track). For the first time a new category of research papers, vision papers, are included presenting "e;outside the box"e; thinking. The foundations track received 167 full paper submissions, of which 34 were selected for presentation. Out of these, 3 papers were vision papers. The application track received 27 submissions, of which 13 papers were selected for presentation. The papers are organized in topical sections on model transformation, model complexity, aspect oriented modeling, analysis and comprehension of models, domain specific modeling, models for embedded systems, model synchronization, model based resource management, analysis of class diagrams, verification and validation, refactoring models, modeling visions, logics and modeling, development methods, and model integration and collaboration.

'Algorithmics' presents the most important, concepts, methods and results that are fundamental to the science of computing. It starts by introducing the basic ideas of algorithms, including their structures and methods of data manipulation. It demonstrates how to design accurate and efficient algorithms, and discusses their inherent limitations.

This award-winning best-seller addresses the fundamentals of computer science. The authors discuss the design of algorithms, their efficiency and correctness, quantum algorithms, concurrency, large systems and artificial intelligence.

Dieses Buch schlie t die L cke: Bisher gab es kaum Material zur Wissenschaft des Rechnens. Es herrscht akuter Bedarf an einer detaillierten Darstellung der Grundlagen der Informatik. Sehr gut lesbar: dieses einzige verf gbare Buch in deutscher Sprache...