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Dynamic Systems and Dynamic Classification Problems in Geophysical Applications Softcover reprint of the original 1st ed. 1998 [Pehme köide]

  • Formaat: Paperback / softback, 259 pages, kõrgus x laius: 235x155 mm, kaal: 427 g, XII, 259 p., 1 Paperback / softback
  • Sari: Data and Knowledge in a Changing World
  • Ilmumisaeg: 20-Jul-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642499538
  • ISBN-13: 9783642499531
  • Formaat: Paperback / softback, 259 pages, kõrgus x laius: 235x155 mm, kaal: 427 g, XII, 259 p., 1 Paperback / softback
  • Sari: Data and Knowledge in a Changing World
  • Ilmumisaeg: 20-Jul-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642499538
  • ISBN-13: 9783642499531
This book is the latest volume in the series entitled " Data and Knowledge in a Changing World ", published by the Committee on Data for Science and Technology (CODATA) of the International Council of Scientific Unions (Icsu). This series was established to collect together, from many diverse fields, the wealth of information pertaining t.o the intelligent exploitation of data in the conduct of science and technology. This volume is the first in a two-volume series that will discuss techniques for the analysis of natural dynamic systems, and their applications to a variety of geophysical problems. The present volume lays out the theoretical foun­ dations for these techniques. The second volume will use these techniques in applications to fields such as seismology, geodynamics, geoelectricity, ge­ omagnetism, aeromagnetics, topography and bathymetry. The book consists of two parts, which describe two complementary ap­ proaches to the analysis of natural systems. The first, written by A. Gvishi­ ani, deals with dynamic pattern recognition. It lays out the mathematical VI Foreword theory and the formalized algorithms that. forms the basis for the classifi­ cation of vector objects and the use of this classification in the study of dynamical systems, with particular emphasis on the prediction of system behavior in space and time. It discusses the construction of classification schemes, and the evaluation of their stability and reliability.

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Springer Book Archives
1 Why the Techniques Developed in this Book are Important? (A Few
Examples of Applications).- I Foundations.- 2 Basic Mathematical Facts.- II
Dynamic Pattern Recognition Problems and Control over Classification
Reliabity.- 3 Voting by a Set of Features Algorithms.- 4 Dynamic and Limit
Classification Problems.- 5 Dual Systems of Sets and Local Stability of
Classification.- 6 Investigation of Earthquake-prone Areas as a Limit Pattern
Recognition Problem.- 7 Control Experiments for Evaluating Classification
Reliability.- III Dynamic Systems.- 8 Basic Definitions and Facts.- 9
Geometry of Attractors.- 10 Bifurcation, Cascades and Chaos.- 11 Self
Organisation.- 12 Multifractals.- IV Convex Programming and Systems of Rigid
Blocks with Deformable Layers.- 13 Systems of Rigid Blocks with Thin
Deformable Layers (SRBTDL).- 14 System of Rigid and Deformable Blocks
(SRDB).- V Bibliography.- VI Index.- Colour Plates.