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Computational Challenges in the Geosciences (Hardcover, 2013 ed.): Clint Dawson, Margot Gerritsen Computational Challenges in the Geosciences (Hardcover, 2013 ed.)
Clint Dawson, Margot Gerritsen
R4,252 R1,840 Discovery Miles 18 400 Save R2,412 (57%) Ships in 12 - 17 working days

Computational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis. Each of these applications gives rise to complex physical and mathematical models spanning multiple space-time scales, which can only be studied through computer simulation. The data required by the models is often highly uncertain, and the numerical solution of the models requires sophisticated algorithms which are mathematically accurate, computationally efficient and yet must preserve basic physical properties of the models. This volume summarizes current methodologies and future research challenges in this broad and important field.

Computational Challenges in the Geosciences (Paperback, Softcover reprint of the original 1st ed. 2013): Clint Dawson, Margot... Computational Challenges in the Geosciences (Paperback, Softcover reprint of the original 1st ed. 2013)
Clint Dawson, Margot Gerritsen
R1,934 Discovery Miles 19 340 Ships in 10 - 15 working days

Computational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis. Each of these applications gives rise to complex physical and mathematical models spanning multiple space-time scales, which can only be studied through computer simulation. The data required by the models is often highly uncertain, and the numerical solution of the models requires sophisticated algorithms which are mathematically accurate, computationally efficient and yet must preserve basic physical properties of the models. This volume summarizes current methodologies and future research challenges in this broad and important field.

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