Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research Units
Facilities
Projects
Research output
Search by expertise, name or affiliation
An application of filtering theory to parameter identification using stochastic mechanics
J. G.B. Beumee,
H. Rabitz
Chemistry
Princeton Institute for the Science and Technology of Materials
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An application of filtering theory to parameter identification using stochastic mechanics'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Estimate
16%
Estimator
21%
Filtering
71%
Harmonic Potential
25%
Initial conditions
29%
Interpretation
25%
Mechanics
69%
Minimum Variance
21%
Momentum
17%
Parameter Identification
89%
Period of time
21%
Probability Density
18%
Quantum Mechanics
18%
Stochastic Differential Equations
15%
Stochastic Processes
45%
Systems Theory
18%
Term
9%
Theorem
7%
Trajectory
41%
Unknown Parameters
67%
Wave Function
39%
Physics & Astronomy
differential equations
9%
estimates
13%
estimators
25%
harmonics
8%
momentum
8%
parameter identification
100%
quantum mechanics
10%
stochastic processes
42%
theorems
9%
trajectories
28%
wave functions
18%