2023 - Research.com Mathematics in United States Leader Award
2016 - Steele Prize for Seminal Contribution to Research
2013 - Fellow of the American Mathematical Society
2013 - Norbert Wiener Prize in Applied Mathematics
2010 - Fellow of the American Academy of Arts and Sciences
2009 - SIAM Fellow For contributions to partial differential equations and their physical applications.
1994 - Member of the National Academy of Sciences
1990 - John von Neumann Lecturer
1977 - Fellow of Alfred P. Sloan Foundation
Andrew J. Majda spends much of his time researching Nonlinear system, Statistical physics, Mathematical analysis, Stochastic modelling and Classical mechanics. His Nonlinear system study also includes
His study in the field of Hyperbolic function, Euler's formula and Euler equations also crosses realms of Hyperbolic equilibrium point. The Stochastic modelling study combines topics in areas such as Stochastic process, Metric and Applied mathematics. His work deals with themes such as Shock wave and Turbulence, which intersect with Classical mechanics.
His main research concerns Statistical physics, Nonlinear system, Climatology, Convection and Turbulence. His Statistical physics research integrates issues from Scale, Dynamical systems theory, Uncertainty quantification, Data assimilation and Intermittency. His work carried out in the field of Nonlinear system brings together such families of science as Stochastic modelling, Mathematical analysis, Classical mechanics, Applied mathematics and Gaussian.
Andrew J. Majda interconnects Vortex and Vorticity in the investigation of issues within Classical mechanics. His studies deal with areas such as Madden–Julian oscillation and Predictability as well as Climatology. His Convection research also works with subjects such as
His scientific interests lie mostly in Climatology, Nonlinear system, Statistical physics, Madden–Julian oscillation and Convection. The Climatology study combines topics in areas such as Atmospheric sciences and Oscillation. The various areas that Andrew J. Majda examines in his Nonlinear system study include Dynamical systems theory, Stochastic modelling, Predictability, Errors-in-variables models and Gaussian.
His work in Statistical physics tackles topics such as Turbulence which are related to areas like Flux, Dissipation, Free energy principle and Classical mechanics. Andrew J. Majda works mostly in the field of Madden–Julian oscillation, limiting it down to concerns involving Extratropical cyclone and, occasionally, Rossby wave. The concepts of his Convection study are interwoven with issues in Troposphere and Mesoscale meteorology.
Andrew J. Majda spends much of his time researching Climatology, Dynamical systems theory, Statistical physics, Madden–Julian oscillation and Nonlinear system. His study in Climatology is interdisciplinary in nature, drawing from both Convection and Atmospheric sciences. His Dynamical systems theory research is multidisciplinary, incorporating perspectives in Phase space, Lyapunov function, Ergodicity, Applied mathematics and Complex system.
His Statistical physics research is multidisciplinary, relying on both Turbulence, Kullback–Leibler divergence and Probability density function. His Nonlinear system research integrates issues from Statistics, Stochastic modelling, Errors-in-variables models, Gaussian and Data assimilation. His work carried out in the field of Classical mechanics brings together such families of science as Field, Mathematical analysis and Rossby number.
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Absorbing Boundary Conditions for Numerical Simulation of Waves
Björn Engquist;Andrew Majda.
Proceedings of the National Academy of Sciences of the United States of America (1977)
Absorbing boundary conditions for the numerical simulation of waves
Bjorn Engquist;Andrew Majda.
Mathematics of Computation (1977)
Compressible fluid flow and systems of conservation laws in several space variables
Vorticity and incompressible flow
Andrew J. Majda;Andrea L. Bertozzi.
Introduction to PDEs and waves for the atmosphere and ocean
Oscillations and concentrations in weak solutions of the incompressible fluid equations
Ronald J. DiPerna;Andrew J. Majda.
Communications in Mathematical Physics (1987)
SIMPLIFIED MODELS FOR TURBULENT DIFFUSION : THEORY, NUMERICAL MODELLING, AND PHYSICAL PHENOMENA
Andrew J. Majda;Peter R. Kramer.
Physics Reports (1999)
Monotone difference approximations for scalar conservation laws
Michael G. Crandall;Andrew Majda.
Mathematics of Computation (1980)
Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows
Andrew J. Majda;Xiaoming Wang.
A mathematical framework for stochastic climate models
Andrew J. Majda;Ilya Timofeyev;Eric Vanden Eijnden.
Communications on Pure and Applied Mathematics (2001)
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