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Mathematics

D-Index
62
Citations
36609
World Ranking
452
National Ranking
233

Research.com Recognitions

  • 2013 - Fellow of the American Mathematical Society
  • 2010 - SIAM Fellow For contribution to numerical analysis and scientific computing, particularly for conservation laws.

Overview

Randall J. LeVeque is affiliated with the University of Washington in the United States. Their research primarily spans the fields of Earth and Planetary Sciences and Computer Science, with a notable focus on Geophysics and Artificial Intelligence, supported by activities in Computational Mechanics, Atmospheric Science, and Environmental Engineering.

LeVeque's work covers several specialized topics, including:

  • Earthquake and tectonic studies
  • Seismology and earthquake studies
  • Seismic imaging and inversion techniques
  • Target tracking and data fusion in sensor networks
  • Earthquake detection and analysis
  • Geology and paleoclimatology research
  • Computational fluid dynamics and aerodynamics

Recent publications illustrate a strong engagement with tsunami forecasting and hazard assessment, employing advanced computational and machine learning methods. Recent papers include:

  • "Comparison of Machine Learning Approaches for Tsunami Forecasting from Sparse Observations," 2021, Pure and Applied Geophysics
  • "A Source Clustering Approach for Efficient Inundation Modeling and Regional Scale Probabilistic Tsunami Hazard Assessment," 2020, Frontiers in Earth Science
  • "Tsunami Early Warning From Global Navigation Satellite System Data Using Convolutional Neural Networks," 2022, Geophysical Research Letters
  • "Multiscale evaluation method of the drag effect on shallow water flow through coastal forests based on 3D numerical simulations," 2021, International Journal for Numerical Methods in Fluids
  • "Sequential Bayesian Update to Detect the Most Likely Tsunami Scenario Using Observational Wave Sequences," 2022, Journal of Geophysical Research Oceans

LeVeque frequently publishes in venues such as arXiv (Cornell University), Journal of Geophysical Research Oceans, Journal of Disaster Research, Zenodo (CERN European Organization for Nuclear Research), and Pure and Applied Geophysics.

They have collaborated extensively with several coauthors, who include Kenjiro Terada, Reika Nomura, Shuji Moriguchi, Donsub Rim, and Saneiki Fujita.

In addition to research articles, Randall J. LeVeque has contributed to book publications, including "Riemann Problems and Jupyter Solutions," published by the Society for Industrial and Applied Mathematics in 2020.

Their contributions have been recognized through awards such as the SIAM Fellow in 2010 for contributions to numerical analysis and scientific computing, particularly conservation laws, and as a Fellow of the American Mathematical Society since 2013.

Best Publications

  • Finite Volume Methods for Hyperbolic Problems

    Randall J. LeVeque

  • Numerical methods for conservation laws

    Randall J. LeVeque

  • Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-dependent Problems

    Randall J. LeVeque

  • the immersed interface method for elliptic equations with discontinuous coefficients and singular sources

    Randall J. Leveque;Zhilin Li

  • Balancing Source Terms and Flux Gradients in High-Resolution Godunov Methods

    Randall J. LeVeque

  • High-resolution conservative algorithms for advection in incompressible flow

    Randall J. LeVeque

  • Wave Propagation Algorithms for Multidimensional Hyperbolic Systems

    Randall J. LeVeque

  • Immersed Interface Methods for Stokes Flow with Elastic Boundaries or Surface Tension

    Randall J. LeVeque;Zhilin Li

  • A study of numerical methods for hyperbolic conservation laws with stiff source terms

    R. J. LeVeque;H. C. Yee

  • Approximate Riemann Solvers

    Randall J. LeVeque

  • An Immersed Interface Method for Incompressible Navier-Stokes Equations

    Long Lee;Randall J. LeVeque

  • Algorithms for Computing the Sample Variance: Analysis and Recommendations

    Tony F. Chan;Gene H. Golub;Randall J. Leveque

  • Tsunami modelling with adaptively refined finite volume methods

    Randall J. LeVeque;David L. George;Marsha J. Berger

  • Adaptive Mesh Refinement Using Wave-Propagation Algorithms for Hyperbolic Systems

    Marsha J. Berger;Randall J. LeVeque

  • A Wave Propagation Method for Conservation Laws and Balance Laws with Spatially Varying Flux Functions

    Derek S. Bale;Randall J. LeVeque

  • Analysis of a one-dimensional model for the immersed boundary method

    R. P. Beyer;R. J. Leveque

  • On the Accuracy of Stable Schemes for 2d Scalar Conservation Laws

    Jonathan B. Goodman;Randall J. LeVeque

  • Probabilistic Tsunami Hazard Analysis: Multiple Sources and Global Applications

    Anita Grezio;Andrey Babeyko;Maria Ana Baptista;Jörn Behrens

  • Updating formulae and a pairwise algorithm for computing sample variances

    Tony F. Chan;Gene H. Golub;Randall J. LeVeque

  • 4. Iterative Methods for Sparse Linear Systems

    Randall J. LeVeque

  • Finite Volume Methods for Hyperbolic Problems: Characteristics and Riemann Problems for Linear Hyperbolic Equations

    Randall J. LeVeque

Frequent Co-Authors

Marsha Berger
Marsha Berger New York University
Lloyd N. Trefethen
Lloyd N. Trefethen University of Oxford
Katharine W. Huntington
Katharine W. Huntington University of Washington
Paul Bodin
Paul Bodin University of Washington
William S. D. Wilcock
William S. D. Wilcock University of Washington
Finn Løvholt
Finn Løvholt Norwegian Geotechnical Institute
Diego Melgar
Diego Melgar University of Oregon
Andrey Babeyko
Andrey Babeyko Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
Tom Parsons
Tom Parsons United States Geological Survey
John R. Delaney
John R. Delaney University of Washington

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