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Stochastic Evolution Systems: Linear Theory and Applications to Non-linear Filte

Description: Stochastic Evolution Systems by B.L. Rozovskii Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Covering the general theory of linear stochastic evolution systems with unbounded drift and diffusion operators, this book sureys Itos second-order parabolic equations and explores filtering problems for processes whose trajectories can be described by them. Publisher Description Et moi, "J si javait su comment en revcnir, One seMcc mathematics has rendered the je ny semis point aile. human race. It has put common sense back Jules Verne where it belongs, on the topmost shclf next to the dusty canister labelled discarded non- sense. The series is divergent; therefore we may be able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: One service topology has rendered mathematical physics ...; One service logic has rendered com- puter science ...; One service category theory has rendered mathematics .... All arguably true. And all statements obtainable this way form part of the raison detre of this series. Author Biography Rozovskii (USC, Los Angeles) Details ISBN 0792300378 ISBN-13 9780792300373 Title Stochastic Evolution Systems Author B.L. Rozovskii Format Hardcover Year 1990 Pages 315 Edition 1990th Publisher Springer GE_Item_ID:140371253; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 67.64 USD

Location: Fairfield, Ohio

End Time: 2024-10-25T02:37:23.000Z

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Stochastic Evolution Systems: Linear Theory and Applications to Non-linear Filte

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780792300373

Book Title: Stochastic Evolution Systems

Number of Pages: Xviii, 315 Pages

Language: English

Publication Name: Stochastic Evolution Systems : Linear Theory and Applications to Non-Linear Filtering

Publisher: Springer Netherlands

Publication Year: 1990

Subject: Differential Equations / General, Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Electrical

Type: Textbook

Item Weight: 50.8 Oz

Subject Area: Mathematics, Technology & Engineering

Item Length: 9.3 in

Author: B. L. Rozovskii

Item Width: 6.1 in

Series: Mathematics and Its Applications Ser.

Format: Hardcover

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