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Towards Solving the Social Science Challenges with Computing Methods

Computational Social Science is an interdisciplinary field where social science questions are investigated with modern computational tools;

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Social Computing, Behavioral-Cultural Modeling and Prediction

on current challenges in social computing, behavioral-cultural modeling and prediction, and on state-of-the-art methods and best practices;

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Computational Methods in Applied Science & Engineering

(multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful;

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Cognitive Informatics and Soft Computing

The book presents new approaches and methods for solving real-world problems. It highlights, in particular, innovative research in the;

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Advanced Concepts, Methods, and Applications in Semantic Computing

applications of semantic computing for solving challenges in real-world domains is vital. Advanced Concepts, Methods, and Applications in Semantic;

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Soft Computing in Chemical and Physical Sciences

This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background;

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Numerical Mathematics And Computing

Authors Ward Cheney and David Kincaid show enthusiasts of science and engineering the potential computers have for solving numerical;

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Computational Social Science

simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information;

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Applied modelling and computing in social science

In social science outstanding results are yielded by advanced simulation methods, based on state of the art software technologies and an;

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Computer Science and Engineering

of computer science and engineering. We present the concept of computational intelligence methods and specific analysis along with examples and case;

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Computational Science ICCS 2021

; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference;

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Techniques of Scientific Computing for the Energy & Environment

Research and development in scientific computing and computational science has considerably increased the power of numerical simulation;

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Computational Science ICCS 2021

; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference;

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Soft Computing for Problem Solving 2019

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought;

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Soft Computing for Problem Solving 2019

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought;

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Soft Computing for Problem Solving

This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This;

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Data-Intensive Computing

The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates;

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Computational Science ICCS 2021

; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference;

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Domain Decomposition Methods in Science and Engineering XXIV

in Svalbard, Norway in February 2017. Domain decomposition methods are iterative methods for solving the often very large systems of equations that;

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Domain Decomposition Methods in Science and Engineering XXV

in St. John's, Newfoundland, Canada in July 2018. Domain decomposition methods are iterative methods for solving the often very large;

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Modeling, Simulation, and Optimization

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements;

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Computational Science ICCS 2021

; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference;

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Soft Computing Methods for System Dependability

processing techniques for solving problems within the dependability of computer system performance. This book will feature comparative experiences;

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Problem-solving in High Performance Computing

Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing;

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High Performance Computing for Computational Science -- VECPAR 2014

applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers;

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Numerical Issues In Statistical Computing For The Social Scientist

is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled;

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Ubiquitous Computing Technology for Real Time Enterprises

Combines the fundamental methods, algorithms, and concepts of pervasive computing with innovations and solutions to emerging challenges.;

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