Brian R. Hunt

发表

Extracting Envelopes of Rossby Wave Packets

Istvan Szunyogh, Edward Ott, Aleksey V. Zimin, 2003 .

MATLAB and the Internet

Brian R. Hunt, Ronald L. Lipsman, Jonathan Rosenberg, 2001 .

Control of Chaos by Means of Embedded Unstable Periodic Orbits

Edward Ott, Brian R. Hunt, 1997 .

Differential Equations with Mathematica, Revised for Mathematica 3.0

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 1998 .

A Guide to MATLAB®: Practice Set C: Developing Your MATLAB Skills

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

A Guide to MATLAB®: For Beginners and Experienced Users

Brian R. Hunt, Ronald L. Lipsman, Jonathan Rosenberg, 2014 .

A guide to MATLAB

Brian R. Hunt, Ronald L. Lipsman, Jonathan Rosenberg, 2013 .

Atmospheric Dynamics for Efficient Ensemble Kalman Filtering

Istvan Szunyogh, James A. Yorke, Edward Ott, 2014 .

A local ensemble Kalman filter for atmospheric data assimilation

Istvan Szunyogh, James A. Yorke, Eric J. Kostelich, 2004 .

Differential Equations with Maple

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 1995 .

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics

Jaideep Pathak, Petros Koumoutsakos, Brian R. Hunt, 2019, Neural Networks.

A Guide to MATLAB®: Simulink

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

A Guide to MATLAB®: Troubleshooting

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

The Mathematica ® Primer

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 1998 .

Two Models for the Study of Congested Internet Connections

Edward Ott, James A. Yorke, Brian R. Hunt, 2004, ArXiv.

Local ensemble Kalman filtering in the presence of model bias

Istvan Szunyogh, Brian R. Hunt, Seung-Jong Baek, 2006 .

A Guide to MATLAB®: Preface

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

Observation bias correction with an ensemble Kalman filter

Hong Li, Istvan Szunyogh, Edward Ott, 2009 .

A Guide to MATLAB®: Interacting with MATLAB

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

A Preprocessor for Shotgun Assembly of Large Genomes

Michael Roberts, James A. Yorke, Brian R. Hunt, 2004, J. Comput. Biol..

A Local Ensemble Kalman Filter for Atmospheric Data Assimilation

Istvan Szunyogh, James A. Yorke, Edward Ott, 2002 .

Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM

Istvan Szunyogh, Junjie Liu, Eric J. Kostelich, 2006 .

Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms pdf

Michelle Girvan, Petros Koumoutsakos, Jaideep Pathak, 2019, ArXiv.

CONTROL OF SHIPBOARD CRANES

Celso Grebogi, James A. Yorke, Edward Ott, 2000 .

Application of local ensemble transform Kalman filter: Perfect model experiments with NASA FVGCM model

Hong Li, Istvan Szunyogh, Eric J. Kostelich, 2006 .

Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter

Istvan Szunyogh, Eric J. Kostelich, Brian R. Hunt, 2005, physics/0511236.

Exploiting Local Low Dimensionality of the Atmospheric Dynamics for Efficient Ensemble Kalman Filtering

Istvan Szunyogh, James A. Yorke, Edward Ott, 2002 .

Bifurcations and Chaos in a Periodically probed Computer Network

Edward Ott, James A. Yorke, Brian R. Hunt, 2009, Int. J. Bifurc. Chaos.

Mixed-Resolution Ensemble Data Assimilation

Brian R. Hunt, Sabrina Rainwater, B. Hunt, 2013 .

A Guide to MATLAB®: Getting Started

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

On The Dynamical Basis of Targeting Weather Observations

Istvan Szunyogh, James A. Yorke, Edward Ott, 2002 .

Synchronization of phase oscillators in large complex networks

Edward Ott, Brian R. Hunt, Juan M. Restrepo, 2006 .

Assessing a local ensemble Kalman filter: perfect model experiments with the National Centers for Environmental Prediction global model

Istvan Szunyogh, James A. Yorke, Eric J. Kostelich, 2005 .

Simultaneous global and limited-area ensemble data assimilation using joint states

Istvan Szunyogh, Edward Ott, Brian R. Hunt, 2012 .

Why do Reservoir Computing Networks Predict Chaotic Systems so Well

Michelle Girvan, Jaideep Pathak, Edward Ott, 2017 .

Assimilating non-local observations with a local ensemble Kalman filter

Istvan Szunyogh, Edward Ott, Brian R. Hunt, 2007 .

Weight interpolation for efficient data assimilation with the Local Ensemble Transform Kalman Filter

Eugenia Kalnay, Neill E. Bowler, Brian R. Hunt, 2009 .

The onset of synchronization in arbitrary heterogeneous networks of interacting Kuramoto systems

Edward Ott, Brian R. Hunt, Ernest Barreto, 2007 .

Feedforward Control Law For A Shipboard Crane With Maryland Rigging System

Abdollah Homaifar, Marwan Bikdash, Brian R. Hunt, 2002 .

Reducing storage requirements for biological sequence comparison

Michael Roberts, James A. Yorke, Wayne Hayes, 2004, Bioinform..

A Guide to MATLAB®: Publishing and M-Books

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

A local ensemble transform Kalman filter data assimilation system for the NCEP global model

Istvan Szunyogh, James A. Yorke, Edward Ott, 2008 .

A composite state method for ensemble data assimilation with multiple limited-area models

Istvan Szunyogh, Craig H. Bishop, Edward Ott, 2015 .

Adding Your Own Process to Dynamics

James A. Yorke, Eric J. Kostelich, Brian R. Hunt, 1998 .

Improving Sequence Assembly of the Rat Genome Using Reliable Overlaps and Extended Reads

James A. Yorke, Paul Havlak, Aleksey V. Zimin, 2005 .

Stability of TCP Dynamics in Large Data Networks

James A. Yorke, Brian R. Hunt, Eric J. Harder, 2009, SIAM J. Appl. Dyn. Syst..

A Guide to MATLAB: MATLAB Programming

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2001 .

Differential equations with MATLAB : updated for MATLAB 2011b (7.13), Simulink 7.8, and Symbolic math toolbox 5.7

Brian R. Hunt, 2012 .

A Guide to MATLAB®: MATLAB Basics

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

A Guide to MATLAB: Glossary

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 2006 .

Chaotic Models and Anomaly Detection for Complex Data Networks

James A. Yorke, Edward Ott, Brian R. Hunt, 2012 .

A local ensemble Kalman filter for the NCEP GFS model

Istvan Szunyogh, James A. Yorke, Edward Ott, 2004 .

Assessing Predictability with a Local Ensemble Kalman Filter

Istvan Szunyogh, James A. Yorke, Edward Ott, 2007 .

A Machine Learning‐Based Global Atmospheric Forecast Model

Jaideep Pathak, Istvan Szunyogh, Brian R. Hunt, 2020 .

4D ensemble Kalman filtering for assimilation of asynchronous observations

Istvan Szunyogh, Edward Ott, James A. Yorke, 2004 .

Estimating forecast model bias in coupled global and limited-area models

Edward Ott, Brian R. Hunt, Matthew Kretschmer, 2015 .

Absolute Continuity of a Function and Uniform Integrability of Its Divided Differences

Brian R. Hunt, Patrick M. Fitzpatrick, B. Hunt, 2015, Am. Math. Mon..

A guide to MATLAB : for beginners and experienced users : updated for MATLAB 8 and Simulink 8

Brian R. Hunt, Ronald L. Lipsman, Jonathan Rosenberg, 2014 .

Design and Control of Shipboard Cranes

Celso Grebogi, Edward Ott, James A. Yorke, 1997 .

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

Michelle Girvan, Jaideep Pathak, Edward Ott, 2018, Chaos.

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components

Michelle Girvan, Jaideep Pathak, Istvan Szunyogh, 2021, Chaos.

The Hausdorff dimension of graphs of Weierstrass functions

Brian R. Hunt, B. Hunt, 1998 .

Maximum local Lyapunov dimension bounds the box dimension of chaotic attractors

Brian R. Hunt, B. Hunt, 1996 .

The theory of chaotic attractors

Tien Yien Li, Brian R. Hunt, Judy Kennedy, 2004 .

Correlations in DNA sequences across the three domains of life

James A. Yorke, Brian R. Hunt, Sabyasachi Guharay, 2000 .

Attractor Reconstruction by Machine Learning through Generalized Synchronization

Edward Ott, Zhixin Lu, Brian R. Hunt, 2018 .

Bifurcation rigidity

Celso Grebogi, James A. Yorke, Hüseyin Koçak, 1999 .

Extracting Envelopes of Nonzonally Propagating Rossby Wave Packets

Istvan Szunyogh, Edward Ott, Aleksey V. Zimin, 2006 .

Differential Equations With Mathematica

Jonathan Rosenberg, Brian R. Hunt, John E. Osborn, 1995 .

Use of the breeding technique to estimate the structure of the analysis "errors of the day"

Istvan Szunyogh, Rebecca E. Morss, James A. Yorke, 2003 .

Ensemble data assimilation for hyperbolic systems

Brian R. Hunt, Cecilia González-Tokman, B. Hunt, 2013 .

Assessing a local ensemble Kalman filter : perfect model experiments with the National Centers for Environmental Prediction global model

Istvan Szunyogh, James A. Yorke, Edward Ott, 2004 .

Differential Equations with Matlab

Kevin R. Coombes, Brian R. Hunt, John E. Osborn, 1996 .

Approximating invariant densities of metastable systems

Brian R. Hunt, Paul Wright, B. Hunt, 2009, Ergodic Theory and Dynamical Systems.

Chapter 2 – Prevalence

Brian R. Hunt, Vadim Kaloshin, B. Hunt, 2010 .

From High Dimensional Chaos to Stable Periodic Orbits: The Structure of Parameter Space

Celso Grebogi, James A. Yorke, Brian R. Hunt, 1997 .

A stretched exponential bound on the rate of growth of the number of periodic points for prevalent diffeomorphisms II

Brian R. Hunt, Vadim Kaloshin, 2001 .

Predictability of Weather and Climate: Ensemble forecasting and data assimilation: two problems with the same solution?

Istvan Szunyogh, Edward Ott, Brian R. Hunt, 2006 .

Identifying Low-Dimensional Nonlinear Behavior in Atmospheric Data

Brian R. Hunt, James A. Carton, J. Carton, 2001 .

Assimilating Nonlocal Observations using a Local Ensemble Kalman Filter

Istvan Szunyogh, Edward Ott, Brian R. Hunt, 2007 .

Structure in the parameter dependence of order and chaos for the quadratic map

Edward Ott, Brian R. Hunt, E. Ott, 1997 .

Emergence of synchronization in complex networks of interacting dynamical systems

Edward Ott, Juan G. Restrepo, Brian R. Hunt, 2006 .

How projections affect the dimension spectrum of fractal measures

Brian R. Hunt, Vadim Kaloshin, B. Hunt, 1997 .

A non‐Gaussian Ensemble Filter for Assimilating Infrequent Noisy Observations

Brian R. Hunt, John Harlim, B. Hunt, 2007 .

Local ensemble Kalman filtering in the presence of model bias

Istvan Szunyogh, Edward Ott, Brian R. Hunt, 2006 .

Prevalence: an addendum

James A. Yorke, Brian R. Hunt, Tim Sauer, 1993 .

Local Ensemble Transform Kalman Filter : An Efficient Scheme for Assimilating Atmospheric Data

Brian R. Hunt, John Harlim, B. Hunt, 2006 .

Data assimilation using a climatologically augmented local ensemble transform Kalman filter

Edward Ott, Brian R. Hunt, Matthew Kretschmer, 2015 .

Regularity of embeddings of infinite-dimensional fractal sets into finite-dimensional spaces

Brian R. Hunt, Vadim Kaloshin, Brian R Hunt, 1999 .

Estimating the State of Large Spatiotemporally Chaotic Systems

Edward Ott, Michael F. Schatz, Matthew Cornick, 2007 .

Assessing a local ensemble Kalman filter: Perfect model experiments with the NCEP global model

Istvan Szunyogh, Edward Ott, Eric J. Kostelich, 2004 .

Estimating the State of Large Spatio-Temporally Chaotic Systems: Application to a Rayleigh-Benard Convection Experiment

Edward Ott, Michael F. Schatz, Matthew Cornick, 2004 .