The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework ...
WeiterlesenThe subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in ...
WeiterlesenStatistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications ...
WeiterlesenThe book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based ...
WeiterlesenPresents the state-of-the-art-knowledge on corrosion of steel, cast iron and ductile iron with a focus on corrosion-induced ...
WeiterlesenEstablishes a vertical stress distribution of the walls under compression and in-plane bending load and an inclination angle ...
Weiterlesen“Stem Cells: From Hydra to Man” illustrates that there is more than human and mouse stem cells to learn from. Reflecting ...
WeiterlesenThe first part of the book reviews the basic theoretical and practical concepts involved in the visual aspect of virtual ...
WeiterlesenThe Abel Symposium 2005 was organized as a tribute to the work of Kiyosi Ito on the occasion of his 90th birthday. Distinguished ...
WeiterlesenFractional Brownian motion (fBm) has been widely used to model a number of phenomena in diverse fields from biology to finance. ...
WeiterlesenThe theory of fractional Brownian motion and other long-memory processes are addressed in this volume. Interesting topics ...
WeiterlesenThe behavior of many technical systems important in everyday life can be described using discrete states and state-changing ...
WeiterlesenThis book presents the main methodological and theoretical developments in stochastic global optimization. The extensive ...
WeiterlesenThis volume presents a number of fundamental theoretical advances in the area of stochastic hybrid systems, motivated primarily ...
WeiterlesenSTOCHASTIC LINEAR PROGRAMMING: Models, Theory, and Computation is a definitive presentation and discussion of the theoretical ...
WeiterlesenThis volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits ...
WeiterlesenOptimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, ...
WeiterlesenSampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers ...
WeiterlesenThis work presents stochastic switching systems and provides up-to-date methods and techniques for the analysis and design ...
WeiterlesenStochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and ...
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