Andrew Majda – författare
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5 produkter
Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows
Av Andrew Majda, Xiaoming Wang
Inbunden, 2006
1872 kr
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The general area of geophysical fluid mechanics is truly interdisciplinary. Now ideas from statistical physics are being applied in novel ways to inhomogeneous complex systems such as atmospheres and oceans. In this book, the basic ideas of geophysics, probability theory, information theory, …
Information Theory and Stochastics for Multiscale Nonlinear Systems
Av Andrew Majda, Marcus J. Grote
Inbunden, 2005
1386 kr
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This book introduces mathematicians to the fascinating mathematical interplay between ideas from stochastics and information theory and practical issues in studying complex multiscale nonlinear systems. It emphasizes the serendipity between modern applied mathematics and applications where rigorous …
Computational Fluid Dynamics and Reacting Gas Flows
Av Andrew Majda, Mitchell Luskin m. fl.
E-bok, 2012
1427 kr
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This IMA Volume in Mathematics and its Applications COMPUTATIONAL FLUID DYNAMICS AND REACTING GAS FLOWS is in part the proceedings of a workshop which was an integral part of the 1986-87 IMA program on SCIENTIFIC COMPUTATION. We are grateful to the Scientific Committee: Bjorn Engquist (Chairman), …
Computational Fluid Dynamics and Reacting Gas Flows
Av Bjorn Engquist, Mitchell Luskin m. fl.
Häftad, 2011
1098 kr
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This IMA Volume in Mathematics and its Applications COMPUTATIONAL FLUID DYNAMICS AND REACTING GAS FLOWS is in part the proceedings of a workshop which was an integral part of the 1986-87 IMA program on SCIENTIFIC COMPUTATION. We are grateful to the Scientific Committee: Bjorn Engquist (Chairman), …
Mathematical Strategies for Climate and Long Range Weather Forecasting in Hierarchy of Models
Av Andrew Majda
Inbunden, 2019
1524 kr
Kommande
This book gives a research exposition of interdisciplinary topics at the cutting edge of the applied mathematics of climate change and long range weather forecasting through a hierarchy of models with contemporary applications to grand challenges such as intraseasonal weather prediction. The …