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Stochastic Modelling in Physical Oceanography (Paperback, Softcover reprint of the original 1st ed. 1996): Robert Adler, Peter... Stochastic Modelling in Physical Oceanography (Paperback, Softcover reprint of the original 1st ed. 1996)
Robert Adler, Peter Muller, B.L. Rozovskii
R1,616 Discovery Miles 16 160 Ships in 10 - 15 working days

The study of the ocean is almost as old as the history of mankind itself. When the first seafarers set out in their primitive ships they had to understand, as best they could, tides and currents, eddies and vortices, for lack of understanding often led to loss of live. These primitive oceanographers were, of course, primarily statisticians. They collected what empirical data they could, and passed it down, ini tially by word of mouth, to their descendants. Data collection continued throughout the millenia, and although data bases became larger, more re liable, and better codified, it was not really until surprisingly recently that mankind began to try to understand the physics behind these data, and, shortly afterwards, to attempt to model it. The basic modelling tool of physical oceanography is, today, the partial differential equation. Somehow, we all 'know" that if only we could find the right set of equations, with the right initial and boundary conditions, then we could solve the mysteries of ocean dynamics once and for all.

Stochastic Evolution Systems - Linear Theory and Applications to Non-linear Filtering (Hardcover, 1990 ed.): B.L. Rozovskii Stochastic Evolution Systems - Linear Theory and Applications to Non-linear Filtering (Hardcover, 1990 ed.)
B.L. Rozovskii
R1,766 Discovery Miles 17 660 Ships in 10 - 15 working days

'Et moi, "'J si j'avait su comment en revcnir, One seMcc mathematics has rendered the je n'y 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 d'etre of this series."

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