Stefan Thurner (Full Full Professor of Science of Complex Systems, Rudolf Hanel (Associate Professor, Associate Professor, Medical Uni, Peter Klimek (Associate Professor, Associate Professor, Medical Uni
Introduction to the Theory of Complex Systems
Stefan Thurner (Full Full Professor of Science of Complex Systems, Rudolf Hanel (Associate Professor, Associate Professor, Medical Uni, Peter Klimek (Associate Professor, Associate Professor, Medical Uni
Introduction to the Theory of Complex Systems
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Complex systems are everywhere. Ecosystems, financial markets, traffic, the economy, the internet and social media are complex systems. This textbook summarizes our understanding of complex systems and the methodological progress made over the past 20 years in a clear, structured, and comprehensive way.
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Complex systems are everywhere. Ecosystems, financial markets, traffic, the economy, the internet and social media are complex systems. This textbook summarizes our understanding of complex systems and the methodological progress made over the past 20 years in a clear, structured, and comprehensive way.
Produktdetails
- Produktdetails
- Verlag: Oxford University Press
- Seitenzahl: 448
- Erscheinungstermin: 4. Dezember 2018
- Englisch
- Abmessung: 254mm x 177mm x 30mm
- Gewicht: 1030g
- ISBN-13: 9780198821939
- ISBN-10: 019882193X
- Artikelnr.: 52904826
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Oxford University Press
- Seitenzahl: 448
- Erscheinungstermin: 4. Dezember 2018
- Englisch
- Abmessung: 254mm x 177mm x 30mm
- Gewicht: 1030g
- ISBN-13: 9780198821939
- ISBN-10: 019882193X
- Artikelnr.: 52904826
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Stefan Thurner is full professor for Science of Complex Systems at the Medical University of Vienna, where he chairs the Section for Science of Complex Systems. He is external professor at the Santa Fe Institute, senior researcher at IIASA, and president of the Complexity Science Hub Vienna. He obtained a PhD in theoretical physics from the Technical University of Vienna and a PhD in economics from the University of Vienna. He held postdoctoral positions at Humboldt Universität zu Berlin and Boston University before joining the faculty of the University of Vienna and later Medical University. Stefan started his career with contributions to theoretical particle physics and gradually shifted his research focus to the understanding of complex systems. He is the author of more than 200 scientific articles. Peter Klimek is Associate Professor at the Section for Science of Complex Systems at the Medical University of Vienna and faculty member of the Complexity Science Hub Vienna. His research interests include network medicine, complexity economics, modelling of collective socio-economic phenomena, electoral fraud detection, as well as novel methods to measure systemic risk. Rudolf Hanel is Associate Professor at the Section for Science of Complex Systems at the Medical University of Vienna and faculty member of the Complexity Science Hub Vienna. His research interests range from applications in medical physics to theoretical work on the behaviour of driven regulatory systems with a focus on mathematical issues.
1: Introduction to complex systems
2: Probability and random processes
3: Scaling
4: Networks
5: Evolutionary processes
6: Statistical mechanics and information theory for complex systems
7: The future of the science of complex systems?
8: Special functions and approximations
2: Probability and random processes
3: Scaling
4: Networks
5: Evolutionary processes
6: Statistical mechanics and information theory for complex systems
7: The future of the science of complex systems?
8: Special functions and approximations
1: Introduction to complex systems
2: Probability and random processes
3: Scaling
4: Networks
5: Evolutionary processes
6: Statistical mechanics and information theory for complex systems
7: The future of the science of complex systems?
8: Special functions and approximations
2: Probability and random processes
3: Scaling
4: Networks
5: Evolutionary processes
6: Statistical mechanics and information theory for complex systems
7: The future of the science of complex systems?
8: Special functions and approximations