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Computational Challenges in the Geosciences 2013 ed. [Hardback]

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  • Formāts: Hardback, 167 pages, height x width: 235x155 mm, weight: 3967 g, 57 Illustrations, black and white; IX, 167 p. 57 illus., 1 Hardback
  • Sērija : The IMA Volumes in Mathematics and its Applications 156
  • Izdošanas datums: 17-Sep-2013
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1461474337
  • ISBN-13: 9781461474333
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  • Hardback
  • Cena: 75,00 €
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  • Formāts: Hardback, 167 pages, height x width: 235x155 mm, weight: 3967 g, 57 Illustrations, black and white; IX, 167 p. 57 illus., 1 Hardback
  • Sērija : The IMA Volumes in Mathematics and its Applications 156
  • Izdošanas datums: 17-Sep-2013
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1461474337
  • ISBN-13: 9781461474333
Citas grāmatas par šo tēmu:

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.

Physical and Computational Issues in the Numerical Modeling of Ocean Circulation
1(24)
Robert L. Higdon
Modeling Hazardous, Free-Surface Geophysical Flows with Depth-Averaged Hyperbolic Systems and Adaptive Numerical Methods
25(24)
D.L. George
Real-Time Forecasting and Visualization of Hurricane Waves and Storm Surge Using SWAN+ADCIRC and FigureGen
49(22)
J.C. Dietrich
C.N. Dawson
J.M. Proft
M.T. Howard
G. Wells
J.G. Fleming
R.A. Luettich Jr.
J.J. Westerink
Z. Cobell
M. Vitse
H. Lander
B.O. Blanton
C.M. Szpilka
J.H. Atkinson
Methane in Subsurface: Mathematical Modeling and Computational Challenges
71(30)
Malgorzata Peszynska
Fast Algorithms for Bayesian Inversion
101(42)
Sivaram Ambikasaran
Arvind K. Saibaba
Eric F. Darve
Peter K. Kitanidis
Modeling Spatial and Structural Uncertainty in the Subsurface
143
Margot Gerritsen
Jef Caers