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Stochastic Partial Differential Equations and Applications
Contributor(s): Da Prato, Giuseppe (Editor), Tubaro, Luciano (Editor)
ISBN: 0824707923     ISBN-13: 9780824707927
Publisher: CRC Press
OUR PRICE:   $356.25  
Product Type: Paperback - Other Formats
Published: April 2002
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: Stochastic Partial Differential Equations and Applications analyzes recent developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. It presents precise conditions for nontrivial and well-defined scattering, new Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing.
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Mathematics | Mathematical Analysis
- Medical
Dewey: 519.2
LCCN: 2002025021
Series: Lecture Notes in Pure and Applied Mathematics
Physical Information: 0.93" H x 6.82" W x 9.88" (1.65 lbs) 476 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Based on the proceedings of the International Conference on Stochastic Partial Differential Equations and Applications-V held in Trento, Italy, this illuminating reference presents applications in filtering theory, stochastic quantization, quantum probability, and mathematical finance and identifies paths for future research in the field.

Stochastic Partial Differential Equations and Applications analyzes recent developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. It presents precise conditions for nontrivial and well-defined scattering, new Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing.

With contributions from more than 40 leading experts in the field, Stochastic Partial Differential Equations and Applications is an excellent resource for pure and applied mathematicians; numerical analysts; mathematical physicists; geometers; economists; probabilists; computer scientists; control, electrical, and electronics engineers; and upper-level undergraduate and graduate students in these disciplines.