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PART I: STOCHASTIC CALCULUS
1. Heat equation and Brownian motion
2. Ito calculus
3. Stochastic differential geometry
4. Examples of stochastic differential equations
PART II: SCATTERING DYNAMICS
5. Diffusion models of scattering
6. Rayleigh scattering
7. Population dynamics
8. Dynamics of K-scattering
9. Models of weak scattering
10. Scattering from general populations
PART III: SIMULATION AND EXPERIMENT
11. Simulation of K-scattering
12. Experimental tests
13. Non-linear dynamics of sea clutter
14. Observability of scattering cross-section A. Stability and infinite divisibility B. Ito versus Stratonovich stochastic integrals C. Filtrations, conditional probability and Markov property D. Girsanov's theorem E. Partition function solution to BDI model F. Summary of K-scattering G. Iterative solution for vector processes H. Open problems I. Suggested further reading References Index
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Add Electromagnetic Scattering from Random Media, The book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework in, Electromagnetic Scattering from Random Media to the inventory that you are selling on WonderClubX
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Add Electromagnetic Scattering from Random Media, The book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework in, Electromagnetic Scattering from Random Media to your collection on WonderClub |