Campuses:

Talks

Datesort descending Title / Speaker Event
April 23, 2002 Scaling: The Impact of Coupled Fluid Flow and Geomechanical Deformation Modeling on 4D Seismic
Susan Minkoff (University of Maryland Baltimore County)
Workshop: Inverse Problems and Quantification of Uncertainty
April 24, 2002 The Role of Nolinearity in Inverse Problems
Roel Snieder (Colorado School of Mines)
Workshop: Inverse Problems and Quantification of Uncertainty
April 24, 2002 Random Scattering and Uncertainty in Magnetotellurics
Benjamin White (ExxonMobil)
Workshop: Inverse Problems and Quantification of Uncertainty
April 24, 2002 Strong Nonlinearity and Large Dimensionality: Should We Go to Work or to Sleep?
Albert Tarantola (Institut de Physique du Globe de Paris)
Workshop: Inverse Problems and Quantification of Uncertainty
April 24, 2002 An Inverse Problem in Economics
Suzhou Huang (Ford Research Laboratory)
Workshop: Inverse Problems and Quantification of Uncertainty
April 24, 2002 Local Minima in Seismic Waveform Tomography
R. Gerhard Pratt (Queen's University)
Workshop: Inverse Problems and Quantification of Uncertainty
April 25, 2002 Inverse Scattering of Guided Waves
Gerard Herman (Technische Universiteit te Delft)
Workshop: Inverse Problems and Quantification of Uncertainty
April 25, 2002 Uncertainty Analysis of the Solution Model of 3D Seismic Reflection Tomography
Delphine Sinoquet (Institut Français du Pétrole)
Workshop: Inverse Problems and Quantification of Uncertainty
April 25, 2002 Large Scale Modelling of the Milky Way - An Application of New Goodness of Fit Techniques in Inverse Regression Models
Nicolai Bissantz (Georg-August-Universität zu Göttingen)
Workshop: Inverse Problems and Quantification of Uncertainty
April 25, 2002 Adapting to Nonstationary Behavior. Examples from Geophysics and Cosmology
Luis Tenorio (Colorado School of Mines)
Workshop: Inverse Problems and Quantification of Uncertainty
April 25, 2002 A Few Words About the Seismology of the Solar Interior
Michael Thompson (The Blackett Laboratory)
Workshop: Inverse Problems and Quantification of Uncertainty
April 26, 2002 Resolution Limits of Traveltime Tomograms based on Diffraction Physics
Gerard Schuster (The University of Utah)
Workshop: Inverse Problems and Quantification of Uncertainty
April 26, 2002 Infectious Diseases Modeling at Dynamics Technology, Inc.
Richard Jordan (Dynamic Technologies)
Infectious Diseases Modeling at Dynamics Technology, Inc. - Richard Jordan (Dynamics Technology Inc.)
April 26, 2002 There is Plenty of Signal in the Noise
John Scales (Colorado School of Mines)
Workshop: Inverse Problems and Quantification of Uncertainty
April 26, 2002 Velocity Model Estimation by Inversion of Focusing Operators: About the

Resolution Dependent Parameterization and the Use of the LSQR Method

Barbara Cox (Technische Universiteit te Delft)
Workshop: Inverse Problems and Quantification of Uncertainty
April 26, 2002 Scalable Newton-Krylov Methods for Inverse Wave Propagation
Omar Ghattas (Carnegie-Mellon University)
Workshop: Inverse Problems and Quantification of Uncertainty
April 29, 2002 Welcome and Introduction Data Assimilation in the Oceanic and Atmospheric Sciences
April 29, 2002 Overview
Robert Miller (Oregon State University)
Data Assimilation in the Oceanic and Atmospheric Sciences
April 29, 2002 Four-dimensional Error Covariance Models in Data Assimilation for NWP: A Comparison of Incremental 4D-Var and the Ensemble Kalman Filter
Andrew Lorenc (United Kingdom Metereology Office)
Data Assimilation in the Oceanic and Atmospheric Sciences
April 29, 2002 Data Assimilation for Modeling and Predicting Multiscale Coupled Physical-Biological Interactions in the Sea
Allan Robinson (Harvard University)
Data Assimilation in the Oceanic and Atmospheric Sciences
April 29, 2002 Kalman Filtering Algorithms for Data Assimilation Problems
A.w. Heemink (Technische Universiteit te Delft)
Data Assimilation in the Oceanic and Atmospheric Sciences
April 30, 2002 How Well Operational Ensembles Can Explain Forecast Errors?
Zoltan Toth (National Oceanographic and Atmospheric Administration (NOAA))
Data Assimilation in the Oceanic and Atmospheric Sciences
April 30, 2002 Tuning of Observation Error Parameters in a Variational Data Assimilation
Gerald Desroziers (NRM/GMAP)
Data Assimilation in the Oceanic and Atmospheric Sciences
April 30, 2002 Role of Small-scale Variability in the Tropical Pacific Ocean Data Assimilation
Alexey Kaplan (Columbia University)
Data Assimilation in the Oceanic and Atmospheric Sciences
April 30, 2002 A Brief Overview of the DAO Data Assimilation System
Ricardo Todling (National Aeronautics and Space Administration (NASA))
Data Assimilation in the Oceanic and Atmospheric Sciences
April 30, 2002 Generating Derivative Code by Automatic Differentiation for Assimilation and Error Estimation
Ralf Giering (FastOpt)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Lagrangian Data Assimilation in Ocean Models
Christopher Jones (Brown University)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Sequential Estimation of Regime Transitions
Dmitri Kondrashov (University of California, Los Angeles)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Second Order Analysis in Data Assimilation
Francois-Xavier Le Dimet (LMC-IMAG)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Perfect Model Predictability in a Simple Model of the Atmosphere
Richard Kleeman (New York University)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Physical Consistency of Data Assimilated State Evolution; On the Significance of Smoothers and the Importance of Process Noise Modeling
Ichiro Fukumori (National Aeronautics and Space Administration (NASA))
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Covariance Matching; A Method for Estimating Model and Data Errors A Priori
Ichiro Fukumori (National Aeronautics and Space Administration (NASA))
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 A Partitioned Kalman Filter and Smoother
Ichiro Fukumori (National Aeronautics and Space Administration (NASA))
Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 01, 2002 Talk 1: Assimilation of Sea Surface Height Anomaly Data and Lagrangian Position Data from Floats and Drifters
Arthur Mariano (University of Miami)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 An Invitation to Control Theoretic Challenges In Turbulence & Plasma Dynamics
Sivaguru Sritharan (US Navy)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 M2 Internal Tide off Oregon: Inferences from Data Assimilation
Alexandre Kurapov (Oregon State University)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Sampling Issues for Ensemble Filters
Jeffrey Anderson (NCAR/MMM)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Breeding, Singular Vectors, Lyapunov Vectors and Data Assimilation
Eugenia Kalnay (University of Maryland)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 The Analysis of an Ill-Posed Problem Using Multi-Scale Resolution and Second-Order Adjoint Techniques
I. Michael Navon (Florida State University)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 02, 2002 Some Variants to the Singular Evolutive Extended Kalman (SEEK) Filter for Data Assimilation
Dinh-Tuan Pham (Centre National de la Recherche Scientifique (CNRS))
Data Assimilation in the Oceanic and Atmospheric Sciences
May 03, 2002 Interdisciplinary Data Assimilation via Error Subspace Statistical Estimation
Pierre Lermusiaux (Harvard University)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 03, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 03, 2002 Minimax Optimization and Omnidirectional Dielectric Mirror
Grant Erdmann (US Air Force Research Laboratory)
Minimax Optimization and Omnidirectional Dielectric Mirrors - Grant Erdmann (MCIM Graduate Student)
May 03, 2002 On the use of the Variational Adjoint Method in Ecosystem Modeling
Yvette Spitz (Oregon State University)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 03, 2002 Discussion Data Assimilation in the Oceanic and Atmospheric Sciences
May 03, 2002 A Revised 4D-Var Algorithm for Increased Efficiency and Improved Accuracy
Yannick Tremolet (European Cte for Medium-Range Weather Forecast)
Data Assimilation in the Oceanic and Atmospheric Sciences
May 26, 2002 Welcome and Introduction Mathematical Modeling in Industry VI - A Workshop for Graduate Students
May 26, 2002 Team 1: Modeling of Planarization in Chemical-Mechanical Polishing
Leonard Borucki (Motorola)
Mathematical Modeling in Industry VI - A Workshop for Graduate Students
May 26, 2002 Team 2: Modeling Networked Control Systems
Sonja Glavaski (Honeywell)
Mathematical Modeling in Industry VI - A Workshop for Graduate Students
May 26, 2002 Team 3: Designing Airplane Engine Struts Using Minimal Surfaces
Thomas Grandine (The Boeing Company)
Mathematical Modeling in Industry VI - A Workshop for Graduate Students
May 26, 2002 Team 4: Mobility Management in Cellular Telephony
David Shallcross (Telcordia)
Mathematical Modeling in Industry VI - A Workshop for Graduate Students
May 26, 2002 Team 5: Optimal Design for a Varying Environment
David Misemer (3M)
Mathematical Modeling in Industry VI - A Workshop for Graduate Students
May 26, 2002 Team 6: Optimal Pricing Strategy in Differentiated Durable-Goods Markets
Suzhou Huang (Ford Research Laboratory)
Mathematical Modeling in Industry VI - A Workshop for Graduate Students
June 10, 2002 Welcome and Introduction Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Earthquake Morphology
Bruce Bolt (University of California, Berkeley)
Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Forum: Are Earthquakes Random?
Greg Anderson (U.S. Geological Survey), David Brillinger (University of California, Berkeley), Robert Nadeau (Lawrence Livermore National Laboratory), William Newman (University of California, Los Angeles), Frederic Schoenberg (University of California, Los Angeles)
Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Lunch Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Methodology for Evaluation of Characteristic Earthquake Models Using Paleoseismic Measurements of Fault Slip from Sites with Multiple Earthquakes
Norm Abrahamson (Pacific Gas and Electric)
Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Mapping Earthquake Shaking and Earthquake Damage
James Dewey (U.S. Geological Survey)
Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 10, 2002 Second Chances
Bruce Bolt (University of California, Berkeley)
Point Process Modeling and Seismological Application of Statistics
June 11, 2002 Uses of Point Process and Time Series Models in Seismic Risk Analysis (Tutorial)
David Brillinger (University of California, Berkeley)
Point Process Modeling and Seismological Application of Statistics
June 11, 2002 Interpretation and Uses of Fractal Dimensions in Modelling Earthquake Data
David Harte (Statistics Research Associates Limited)
Point Process Modeling and Seismological Application of Statistics
June 11, 2002 Renormalized Omori Law, Conditional Foreshocks, Spatial Diffusion and Earthquake Prediction with the Etas Model
Didier Sornette (University of California, Los Angeles)
Point Process Modeling and Seismological Application of Statistics
June 11, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 11, 2002 Second Chances
David Brillinger (University of California, Berkeley)
Point Process Modeling and Seismological Application of Statistics
June 12, 2002 Stochastic Models for Earthquake Occurrences
David Vere-Jones (University of Victoria)
Point Process Modeling and Seismological Application of Statistics
June 12, 2002 Forum: Which Models are Acceptable?
John Anderson (University of Nevada), Daryl Daley (Australian National University), Alexey Lyubushin (Russian Academy of Sciences), Renata Rotondi (Italian Research Council (CNR))
Point Process Modeling and Seismological Application of Statistics
June 12, 2002 A Marked Spatio-Temporal Point Process Model for California Earthquakes
Stephen Rathbun (The Pennsylvania State University)
Point Process Modeling and Seismological Application of Statistics
June 12, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 12, 2002 Earthquake Occurrence: Statistical Analysis, Stochastic Modeling, Mathematical Challenges
David Vere-Jones (University of Victoria)
Point Process Modeling and Seismological Application of Statistics
June 12, 2002 Second Chances
David Vere-Jones (University of Victoria)
Point Process Modeling and Seismological Application of Statistics
June 13, 2002 Analysis of Seismic Activity Through Point-Process Modeling
Yosihiko Ogata (The Institute of Statistical Mathematics)
Point Process Modeling and Seismological Application of Statistics
June 13, 2002 Applications of Point Process Models in Hydrology
Valerie Isham (University College)
Point Process Modeling and Seismological Application of Statistics
June 13, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 13, 2002 A Review of Recent Results on Hawkes Processes
Pierre Bremaud (École Polytechnique Fédérale de Lausanne (EPFL))
Point Process Modeling and Seismological Application of Statistics
June 13, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 13, 2002 Second Chances
Yosihiko Ogata (The Institute of Statistical Mathematics)
Point Process Modeling and Seismological Application of Statistics
June 14, 2002 Evaluation of Statistical Models for Earthquakes
Frederic Schoenberg (University of California, Los Angeles)
Point Process Modeling and Seismological Application of Statistics
June 14, 2002 Forum: Which Models Seem Most Promising?
Steven Jaume (College of Charleston), Dan O'Connell (U.S. Bureau of Reclamation), Yosihiko Ogata (The Institute of Statistical Mathematics), David Vere-Jones (University of Victoria)
Point Process Modeling and Seismological Application of Statistics
June 14, 2002 Testing the Poisson Hypothesis and Higher-Order Normal Approximation for Statistics of Poisson-Based Point Process Models
Lothar Heinrich (Universität Augsburg)
Point Process Modeling and Seismological Application of Statistics
June 14, 2002 Discussion Point Process Modeling and Seismological Application of Statistics
June 14, 2002 More Ways to Burn CPU: A Macedoine of Tests, Scores and Validation
Mark Bebbington (Massey University)
Point Process Modeling and Seismological Application of Statistics
June 14, 2002 Second Chances
Frederic Schoenberg (University of California, Los Angeles)
Point Process Modeling and Seismological Application of Statistics
June 24, 2002 Welcome and Introduction
Douglas Arnold (University of Minnesota, Twin Cities), Lee Finn (The Pennsylvania State University), Fadil Santosa
Numerical Relativity
June 24, 2002 A quick introduction to the Einstein equations
Douglas Arnold (University of Minnesota, Twin Cities)
Numerical Relativity
June 24, 2002 Introduction to GR for computational scientists, II
Alan Rendall (Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut))
Numerical Relativity
June 24, 2002 Introduction to the 3+1 Einstein equations
Robert Bartnik (University of Canberra)
Numerical Relativity
June 25, 2002 Discretization of Maxwell's Equations
Ralf Hiptmair (Eberhard-Karls-Universität Tübingen)
Numerical Relativity

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