Learn the basics of white noise theory with White Noise
Distribution Theory. This book covers the mathematical foundation
and key applications of white noise theory without requiring
advanced knowledge in this area. This instructive text specifically
focuses on relevant application topics such as integral kernel
operators, Fourier transforms, Laplacian operators, white noise
integration, Feynman integrals, and positive generalized functions.
Extremely well-written by one of the field's leading researchers,
White Noise Distribution Theory is destined to become the
definitive introductory resource on this challenging topic.
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