Yi Lin, Xiaojun Duan, Chengli Zhao, Li Da Xu

Systems Science (eBook, PDF)

Methodological Approaches

• Format: PDF

Produktbeschreibung

By making use of the principles of systems science, the scientific community can explain many complicated matters of the world and shed new light on unsettled problems. This volume explores general systems, nonlinear systems dynamics, and the theory of catastrophe. It discusses dissipative structures and synergistics, chaos, fractals, complex systems and complexity, complex adaptive systems, open complex giant systems, and complex networks and related concepts and methods. Case studies demonstrate how various concepts and the logic of systems can be practically applied to resolve real-life problems, such as the prediction of natural disasters.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 399
• Erscheinungstermin: 26. November 2012
• Englisch
• ISBN-13: 9781439895528
• Artikelnr.: 40065872

Autorenporträt

Dr. Yi Lin, also known as Jeffrey Yi-Lin Forrest, is a specially appointed professor in economics, finance, systems science, and mathematics at several major universities in China as well as tenured professor of mathematics at the Pennsylvania State System of Higher Education (Slippery Rock campus). His research interests are mainly in the area of systems research and applications in a wide-ranging number of disciplines of the traditional sciences, including mathematical modeling, foundations of mathematics, data analysis, theory and methods of predictions of disastrous natural events, economics and finance, management science, and philosophy of science.



Dr. Xiaojun Duan

is a professor at the Department of Mathematics and System Sciences, College of Science, National University of Defense Technology, Changsha, China. Her research interests include general systems theory and applications, data analysis, and complex system test and evaluation.

Mr. Chengli Zhao

is a lecturer at the Department of Mathematics and Systems Science of the National University of Defense Technology. Mr. Zhao's scientific interests and publications cover studies of complex systems, massive data computing, and web data mining.