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A direct method for the inversion of physical systems
L. F. Caudill,
H. Rabitz
, A. Askar
Chemistry
Princeton Institute for the Science and Technology of Materials
Research output
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Contribution to journal
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Article
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peer-review
6
Scopus citations
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Dive into the research topics of 'A direct method for the inversion of physical systems'. Together they form a unique fingerprint.
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Mathematics
Direct Method
100%
Inversion
89%
Linear Dynamical Systems
61%
Nonlinear Dynamical Systems
56%
Recovery
49%
Stabilization
44%
Partial differential equation
36%
Unknown
32%
Context
31%
Numerical Examples
31%
Coefficient
25%
Physics & Astronomy
inversions
81%
dynamical systems
50%
partial differential equations
49%
stabilization
42%
recovery
40%
coefficients
27%
Engineering & Materials Science
Nonlinear dynamical systems
66%
Partial differential equations
49%
Stabilization
42%
Recovery
34%