Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Active Subspace Methods for Data-Intensive Inverse Problems

Technical Report ·
DOI:https://doi.org/10.2172/1353429· OSTI ID:1353429
 [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); MIT
+ Show Author Affiliations
The project has developed theory and computational tools to exploit active subspaces to reduce the dimension in statistical calibration problems. This dimension reduction enables MCMC methods to calibrate otherwise intractable models. The same theoretical and computational tools can also reduce the measurement dimension for calibration problems that use large stores of data.
Research Organization:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
DOE Contract Number:
SC0011089
OSTI ID:
1353429
Report Number(s):
DE--SC0011089
Country of Publication:
United States
Language:
English

Similar Records

Active Subspace Methods for Data-Intensive Inverse Problems
Technical Report · Fri Feb 08 23:00:00 EST 2019 · OSTI ID:1566065
Active Subspace Methods for Data-Intensive Inverse Problems (Final Report)
Technical Report · Fri Feb 08 23:00:00 EST 2019 · OSTI ID:1494035
Active Subspaces for Wind Plant Surrogate Modeling
Conference · Thu Jan 11 23:00:00 EST 2018 · OSTI ID:1433796

Related Subjects

97 MATHEMATICS AND COMPUTING