<--- Back to Details
First PageDocument Content
Livermore /  California / Lockheed Martin / Sandia National Laboratories / United States Department of Energy National Laboratories / Stochastic / Scientific modelling / Dynamics / Uncertainty / Statistics / Epistemology / Knowledge
Livermore
California
Lockheed Martin
Sandia National Laboratories
United States Department of Energy National Laboratories
Stochastic
Scientific modelling
Dynamics
Uncertainty
Statistics
Epistemology
Knowledge

NNSA PRISM Seminar Series – Fall 2008 Co‐sponsored by CCAM – Center for Computational and Applied Mathematics Uncertainty Quantification in Chemical Systems Habib N. Najm

Add to Reading List

Source URL: www.purdue.edu

Download Document from Source Website

File Size: 224,11 KB

Share Document on Facebook

Similar Documents

L2 Natural Environment Summary by Nancy J. Lindsey Lockheed Martin Technical Operations September 1998

DocID: 1vlSK - View Document

Case Study: Lockheed Martin Challenges Determine the structure of a complex legacy ADA program. Use Case Understand™ was used for the following applications:

DocID: 1vd3C - View Document

F-35 Lightning II Program Public Release – Pentagon and Lockheed Martin Deliver 300th F-35 Aircraft F-35 Joint Program Office/Lockheed Martin F-35 Enterprise Ramps Up Production and Reduces Costs

DocID: 1v8Ku - View Document

An ILS Inspired Approach and Departure System Utilizing Monocular Vision H. Claus Christmann Graduate Research Assistant Georgia Institute of Technology, Atlanta, GA, USA Eric N. Johnson Lockheed Martin Associate Profess

DocID: 1v0KB - View Document

Cyber Scientific Test Language Peter Haglich1, Robert Grimshaw2, Steven Wilder2, Marian Nodine3, and Bryan Lyles4 1 Lockheed Martin Advanced Technology Laboratories, Virginia Beach, VA

DocID: 1uUSO - View Document