| Version 3 (modified by gogolenk, 16 years ago) (diff) |
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This page contains some documents and scripts concerned with optimization in Diana
Documents
- Introductory notes for users and developers
User's guide
Examples
- Minimization of Rosenbrock's function
rosenbrock.py - Parameter estimation with derivative free solver
ParEstimation.py ParEstimation.tar.gz - Parameter estimation with gradient based solver
SensParEstimation.py SensParEstimation.tar.gz - Optimal experimental design with Sigma Point approach
OEDSigmaPoint.py OEDSigmaPoint.tar.gz
Attachments (11)
- optimization.pdf (268.0 KB) - added by gogolenk 16 years ago.
-
rosenbrock.py
(3.1 KB) -
added by gogolenk 16 years ago.
Minimization of Rosenbrock's function
-
ParEstimation.py
(3.0 KB) -
added by gogolenk 16 years ago.
Parameter estimation with derivative free solver
-
SensParEstimation.py
(3.1 KB) -
added by gogolenk 16 years ago.
Parameter estimation with gradient based solver
-
OEDSigmaPoint.py
(5.7 KB) -
added by gogolenk 16 years ago.
Optimal experimental design with Sigma Point approach
-
ParEstimation.tar.gz
(2.0 KB) -
added by gogolenk 16 years ago.
Parameter estimation with derivative free solver (script + measurement data +model)
-
SensParEstimation.tar.gz
(2.1 KB) -
added by gogolenk 16 years ago.
Parameter estimation with gradient based solver (script + measurement data +model)
-
OEDSigmaPoint.tar.gz
(5.0 KB) -
added by gogolenk 16 years ago.
Optimal experimental design with Sigma Point approach (script + measurement data +model)
- SensHybridSys.pdf (96.8 KB) - added by danker 15 years ago.
- SensHybridSys.py (1.1 KB) - added by danker 15 years ago.
- twophase_cstr.mdl (2.2 KB) - added by danker 15 years ago.
Download all attachments as: .zip
