Demo examples

DREAM Suite includes many examples illustrating the main capabilities and functionalities of the DREAM Suite package. These examples are available including source code, are easy to adapt and can serve as templates for other projects. Since DREAM Plugin modules can be written in various languages and also programming skills of DREAM users can be different, some selected examples are available in multiple implementations. For example, library D3 contains examples written in C++ by professional programmers using STL and BOOST libraries. Library D1 contains selected simplified examples (subset of D3) intended for beginners and less-experienced programmers. Library D2 contains examples implemented in MATLAB and demonstrates the ability of DREAM Suite to be used with other tools than Visual C++.

Libraries with demo examples

D1 - Selected simplified examples in C/C++
D2 - Selected examples implemented in MATLAB (*.m script files)
D3 - Advanced examples written in C++ using STL and BOOST

These examples and libraries can be found in the Library Manager.

List of available examples (category D)

Below you can find the list of all available examples and their mathematical description. Additional information can be found directly in the source code of these examples, which is included in the DREAM Suite package.

Name	Description
Example01	n-dimensional banana shaped Gaussian distribution
Example02	n-dimensional Gaussian distribution
Example03	n-dimensional multimodal mixture distribution
Example04	Real-world example using hymod rainfall - runoff model (HYMOD code in C++)
Example05	Real-world example using hymod rainfall - runoff model (HYMOD code in external FORTRAN module)
Example06	Rainfall-runoff model with generalized log-likelihood function
Example07	HYDRUS-1D: using prior information on soil hydraulic parameters
Example08	1D mixture distribution: Approximate Bayesian Computation
Example09	Rainfall-runoff model with spectral likelihood function
Example10	Multimodel mixture distribution: multivariate prior
Example11	Multivariate student t-distribution
Example12	Pedometrics problem involving variogram fitting
Example13	Nash-Cascade hydrograph
Example14	ABC inference for hydrologic model
Example15	ABC inference using 10 bivariate normal distributions
Example16	Hydrogeophysical inference
Example17	Rainfall-runoff with inference discharge data error
Example18	Informal likelihood (GLUE): Lotka-Volterra model
Example19	Bayesian Model Averaging
Example20	GLUE - limits of acceptability: Soil temperature modeling
Example21	GLUE - limits of acceptability: HYDRUS-1D model
Example22	GLUE - limits of acceptability: Nash-Cascade example
Example23	GLUE - limits of acceptability: SAC-SMA model