This accessible treatment offers the mathematical Tools for describing and solving problems related to Stochastic vector fields.
Extensive appendixes--which include information on Fourier transforms, tensors, generalized functions, and invariant theory--contribute toward making this volume mathematically self-contained..
The author, Professor Emeritus of Engineering at Cornell University, starts with a survey of probability distributions and densities and proceeds to examinations of moments, characteristic functions, and the Gaussian distribution; random functions; and random processes in more dimensions.
It will prove a valuable reference for applied mathematicians and professionals in the fields of aerospace, chemical, civil, and nuclear engineering.
Advanced undergraduates and graduate students will find its use of generalized functions a relatively simple method of resolving mathematical questions.
This accessible treatment offers the mathematical Tools for describing and solving problems related to Stochastic vector fields
