Stochastic Differential Equations have become increasingly important in modelling complex systems in physics, chemistry, biology, climatology and other fields. This book examines and provides systems for practitioners to use, and provides a number of case studies to show how they can work in practice. Introduction Deterministic Slow-Fast Systems One-Dimensional Slowly Time-Dependent Systems Stochastic Resonance Multi-Dimensional Slow-Fast Systems Applications Appendices

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Noise-Induced Phenomena in Slow-Fast Dynamical Systems: A Sample-Paths Approach (Probability and Its Applications)
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