Nonlinear Instability Analysis (14 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Hardcover. Condition: Very Good+. Dust Jacket Condition: No Dust Jacket. Laminated hardcover. Board edges bumped. Remainder mark. Contents clean, sound binding. ; Advances in Fluid Mechanics; 8.66 X 5.67 X 1.02 inches.

Hardcover. Condition: Very Good+. Dust Jacket Condition: No Dust Jacket. First Edition. Laminated hardcover. Presumed first edition. Spine ends/corners softened. Ex-university library with bookplates to fep and ffep, no other library markings. Contents appear unmarked. ; 8.70 X 5.70 X 0.90 inches; 351 pages.

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. Nonlinear dynamics is a fundamental aspect of many complex systems, from climate modeling to financial markets, but analyzing and predicting instability requires a deep understanding of mathematical concepts and computational techniques. 'Exploring Nonlinear Dynamics in Instability Analysis' offers a comprehensive overview of the latest research and innovations in nonlinear dynamics, examining the ways in which nonlinear systems can be analyzed and predicted using advanced mathematical and computational tools. This book provides a detailed analysis of the latest research on nonlinear dynamics, as well as practical guidance on how to apply these concepts to real-world problems, from climate modeling to financial forecasting. Whether you're a researcher, engineer, or data scientist, 'Exploring Nonlinear Dynamics in Instability Analysis' is an essential resource for anyone seeking to understand and predict complex systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The reader is about to embark on a tutorial journey through a series of nonlinear dynamic systems that contain a rich tapestry of phenomena and solutions. The study of nonlinear systems can be greatly enhanced by the combined use of the stochastic dynamic equations and Monte Carlo calculations. When a dynamic system is forced and dissipative all the trajectories tend toward a bounded set of zero volume - often a strange attractor with a fractal dimension. The stochastic dynamic equations can directly reveal the statistical moments of the system, but their direct solution is inefficient, and they are not a closed set. The power of the combined method is that the time averaged Monte Carlo moments will agree exactly with equations described by the left hand side of the full stochastic dynamic equations set to zero - no closure is required. Every equation expresses an exact relationship among the variables. One is able to delve far deeper into the nature of the nonlinear systems. This tutorial exposition offers the tools for the past nonlinear modeling efforts in the traditional physical sciences and in various complex modeling problems in new fields of biology and health sciences.