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Informationen zum Autor Debasish Roy is currently working as Professor in the Computational Mechanics Laboratory at the Indian Institute of Science, Bangalore. He obtained his Ph.D. from the Indian Institute of Science, followed by post-doctoral research at the University of Innsbruck, Austria. Besides being a fellow of the Indian National Academy of Engineering, he has also held an Honorary Professorship in the School of Engineering, University of Aberdeen, and a distinguished visiting fellowship of the Royal Academy of Engineering, London. His areas of research include computational mechanics of non-classical continua, stochastic dynamical systems and optimization/inverse problems. He has published over 120 papers in journals of international repute, delivered keynote/invited lectures at many international conferences and served on editorial boards. G. Visweswara Rao was Technical Advisor in ACS Design Consulting Private Limited, Bangalore. He received his Ph.D. from the Indian Institute of Science, Bangalore, in 1989. He has published several research papers in the areas of structural dynamics specific to earthquake engineering, nonlinear and random vibration, and structural control, and co-authored Elements of Structural Dynamics: A New Perspective (2012) with D. Roy. His areas of research include non-linear and stochastic structural dynamics. Klappentext This book introduces essential concepts in stochastic processes that interface seamlessly with applications of interest in science and engineering. Zusammenfassung A comprehensive discussion on stochastic processes and calculus in an easy-to-understand manner. It emphasizes applying theory to develop powerful tools for diverse applications including system identification and optimization. Inhaltsverzeichnis List of figures; List of tables; Preface; Dedication; Acronyms; 1. Probability theory and random variables; 2. Random variables: conditioning, convergence and simulation; 3. An introduction to stochastic processes; 4. Stochastic calculus and diffusion processes; 5. Numerical solutions to stochastic differential equations; 6. Non-Linear Stochastic Filtering and Recursive Monte Carlo Estimation; 7. Nonlinear filters with gain-type additive updates; 8. Improved numerical solutions to SDEs by change of measure; 9. Evolutionary global optimization via change of measures: A Martingale Route; 10. COMBEO ¿ a new global optimization scheme by change of measures; Appendices; Bibliography; References....
