Advances in Geocomputing (Lecture Notes in Earth Sciences)

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Advances in Geocomputing (Lecture Notes in Earth Sciences) Overview

This book provides a concise overview of the recent development in geocomputing, which covers the model construction and result visualisation, advanced computational theory and high performance software development on supercomputers and their applications in simulating geodynamics, crustal dynamics, earthquakes, tsunami and rock physics spanning different scales. A DVD-ROM is attached together with this book for the image and animation files of the amazing simulation results.

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Computational Models For Life Sciences - CMLS '07: 2007 International Symposium on Computational Models of Life Sciences (AIP Conference Proceedings / ... / Mathematical and Statistical Physics)

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Computational Models For Life Sciences - CMLS '07: 2007 International Symposium on Computational Models of Life Sciences (AIP Conference Proceedings / ... / Mathematical and Statistical Physics) Overview

All papers have been peer-reviewed. This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The conference proceedings consists of research papers addressing novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. Topics include image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, numerical analysis, fractals and chaos, optimization, simulation and modeling, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management.

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Advances in High Performance Computing and Computational Sciences: The 1st Kazakh-German Advanced Research Workshop, Almaty, Kazakhstan, September 25 to ... Mechanics and Multidisciplinary Design)

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Advances in High Performance Computing and Computational Sciences: The 1st Kazakh-German Advanced Research Workshop, Almaty, Kazakhstan, September 25 to ... Mechanics and Multidisciplinary Design) Overview

This volume contains contributions to the First Kazakh-German Advanced Research Workshop on Computational Science and High Performance Computing presented in September 2005 at Almaty, Kazakhstan. The workshop was organized by the High Performance Computing Center Stuttgart (Stuttgart, Germany), al-Farabi Kazakh National University (Almaty, Kazakhstan) and the Institute of Computational Technologies SB RAS (Novosibirsk, Russia) in the framework of activities of the German-Russian Center for Computational Technologies and High Performance

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Beyond the Map: Archaeology and Spatial Technologies (Nato a S I Series Series a, Life Sciences)

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Beyond the Map: Archaeology and Spatial Technologies (Nato a S I Series Series a, Life Sciences) Overview

This set of papers by European and North American archaeologists explore the interface between new spatial technologies and areas of theoretical concern in spatial archaeology. Differing aspects of landscape, such as vision, perception and movement, are explored through a series of case studies that focus on how spatial technologies can influence archaeological interpretation and to what extent these new technologies can be manipulated to take us beyond 2-dimensional maps. Individual site-based analyses and new applications of predictive modelling are also presented and assessed together with the wider questions of spatial technologies within heritage management.

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Modelling, Analysis and Design of Hybrid Systems (Lecture Notes in Control and Information Sciences)

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Modelling, Analysis and Design of Hybrid Systems (Lecture Notes in Control and Information Sciences) Feature

• ISBN13: 9783540438120
• Condition: USED - Like New
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Modelling, Analysis and Design of Hybrid Systems (Lecture Notes in Control and Information Sciences) Overview

Summarizes the results of a priority program launched by Deutsche Forschungsgemeinschaft (DFG) called KONDISK. Softcover.

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Introduction to Computational Science: Modeling and Simulation for the Sciences

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This is a great book for the college bound. Very interesting and easy to read.

Introduction to Computational Science: Modeling and Simulation for the Sciences Overview

Computational science is a quickly emerging field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. However, limited educational materials exist in this field. Introduction to Computational Science fills this void with a flexible, readable textbook that assumes only a background in high school algebra and enables instructors to follow tailored pathways through the material. It is the first textbook designed specifically for an introductory course in the computational science and engineering curriculum.

The text embraces two major approaches to computational science problems: System dynamics models with their global views of major systems that change with time; and cellular automaton simulations with their local views of how individuals affect individuals. While the text is generic, an extensive author-generated Web-site contains tutorials and files in a variety of software packages to accompany the text.

• Generic software approach in the text
• Web site with tutorials and files in a variety of software packages
• Engaging examples, exercises, and projects that explore science
• Additional, substantial projects for students to develop individually or in teams
• Consistent application of the modeling process
• Quick review questions and answers
• Projects for students to develop individually or in teams
• Reference sections for most modules, as well as a glossary
• Online instructor's manual with a test bank and solutions

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• Chemistry in the Laboratory
• A First Course in Scientific Computing: Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90
• Chemistry: The Science in Context (Second Edition)
• Spreadsheet Tools for Engineers using Excel (Mcgraw-Hill's Best--Basic Engineering Series and Tools)
• Short Guide to Writing about Biology, A (7th Edition)

Computational Modeling (Quantitative Applications in the Social Sciences)

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Computational Modeling (Quantitative Applications in the Social Sciences) Overview

Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model.

After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples.

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• Agent-Based Models (Quantitative Applications in the Social Sciences)
• Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
• Social Network Analysis (Quantitative Applications in the Social Sciences)
• The Sciences of the Artificial - 3rd Edition
• Dynamic Modeling: An Introduction (Quantitative Applications in the Social Sciences)

Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics)

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Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics) Overview

The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

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• Agent-Based Models (Quantitative Applications in the Social Sciences)
• Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
• Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
• Simulation for the Social Scientist
• Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation